[{"data":1,"prerenderedAt":152},["ShallowReactive",2],{"blogposts:fr":3},[4,17,28,40,52,63,75,87,99,110,120,130,141],{"id":5,"brow":6,"cover_image":7,"date":8,"excerpt":9,"extension":10,"heading":11,"main_content":12,"meta":13,"slug":14,"stem":15,"tagline":9,"__hash__":16},"blogposts_fr\u002Ffr\u002Fblogposts\u002Fadvancing-data-governance-for-ai-innovation-insights-from-the-2025-new-commons-challenge-event.json","Article de blog","https:\u002F\u002Fcms.thegovlab.com\u002Fassets\u002F6b3ea4ea-0679-43f0-a266-148da15ab830","2025-10-09",null,"json","Faire progresser la gouvernance des données pour l'innovation en matière d'IA : enseignements tirés de l'événement « New Commons Challenge 2025 »","\u003Cp dir=\"ltr\">Dans le monde actuel, axé sur les données, la promesse de l’intelligence artificielle au service de l’intérêt général ne repose pas seulement sur les algorithmes, mais aussi sur la qualité et la gouvernance des données sur lesquelles ils s’appuient. Pour les communautés confrontées à des crises — qu’il s’agisse de gestion des catastrophes, de santé publique ou d’aménagement du territoire —, disposer des bonnes données peut permettre une prise de décision plus rapide, plus équitable et plus responsable. \u003C\u002Fp>\n\u003Cp dir=\"ltr\">Pourtant, trop souvent, ces informations restent cloisonnées, fragmentées ou inaccessibles. Le concept de « biens communs de données » (data commons) offre une voie à suivre : mettre en commun des ensembles de données sous une gouvernance partagée afin de garantir que l’innovation en matière d’IA soit non seulement techniquement solide, mais aussi fiable, équitable et en phase avec les besoins des communautés.\u003C\u002Fp>\n\u003Cp dir=\"ltr\">Le 25 septembre 2025, lors d’un événement à New York, l’ \u003Ca href=\"https:\u002F\u002Fopendatapolicylab.org\u002F\">Open Data Policy Lab\u003C\u002Fa>, en collaboration avec \u003Ca href=\"https:\u002F\u002Fwww.microsoft.com\u002Fen-us\u002F\">Microsoft\u003C\u002Fa> et en partenariat avec \u003Ca href=\"https:\u002F\u002Fwww.directrelief.org\u002F?utm_source=google&utm_medium=cpc&utm_campaign=Branded&gad_source=1&gad_campaignid=627399536&gbraid=0AAAAADEzrS_btF6ocIyLHfCS9Vxfc5vmk&gclid=Cj0KCQjw0NPGBhCDARIsAGAzpp3sz1KhR00FD9QvmxsQjXCTXjQBCrPiIHzKK2YU4MIQ4Vb6_WA8qZoaAuklEALw_wcB\">Direct Relief\u003C\u002Fa>\u002F\u003Ca href=\"https:\u002F\u002Fwww.crisisready.io\u002F\">CrisisReady\u003C\u002Fa> et l’\u003Ca href=\"https:\u002F\u002Fhls.harvard.edu\u002Flibrary\u002Fabout-the-library\u002Flibrary-staff\u002Finstitutional-data-initiative\u002F\">Institutional Data Initiative de la bibliothèque de la faculté de droit de Harvard\u003C\u002Fa>, avec la participation \u003Ca href=\"https:\u002F\u002Fwww.unesco.org\u002Fen\">l'UNESCO\u003C\u002Fa> en tant qu'observateur international, a annoncé les lauréats du \u003Ca href=\"https:\u002F\u002Fwww.newcommons.ai\u002F\">2025 New Commons Challenge\u003C\u002Fa>. L'initiative a attribué à deux projets une somme de 100 000 dollars chacun afin de favoriser la création de communs de données qui accélèrent l'innovation responsable en matière d'IA dans le domaine de la réponse aux catastrophes et de la prise de décision localisée.\u003C\u002Fp>\n\u003Cp dir=\"ltr\">L'événement a réuni des dirigeants mondiaux, des décideurs politiques, des technologues et des praticiens communautaires afin d'explorer comment le partage de données peut ouvrir de nouvelles perspectives pour l'IA dans l'intérêt public. Dans ce qui suit, nous présentons un résumé des lauréats et des discussions qui ont eu lieu pendant l'événement.\u003C\u002Fp>\n\u003Ch3 dir=\"ltr\">Discours d’ouverture : Construire des communs de données pour le bien public\u003Cbr>\u003Cbr>\u003C\u002Fh3>\n\u003Ccenter>\u003Cimg src=\"https:\u002F\u002Fcms.thegovlab.com\u002Fassets\u002F180496d0-2ec1-4e7d-9b07-67acd4981c09.jpg?width=594&height=396\" alt=\"Teresa Hutson delivers opening remarks\">\u003C\u002Fcenter>\n\u003Cp dir=\"ltr\">Teresa Hutson, vice-présidente du groupe Trusted Technology chez Microsoft, a ouvert l’événement en soulignant l’importance de données diversifiées et de haute qualité pour une innovation responsable en matière d’IA. Elle a fait remarquer que les données n’ont pas de valeur intrinsèque en elles-mêmes, mais qu’elles deviennent influentes lorsqu’elles sont partagées et réutilisées de manière responsable. Mettant en avant la campagne Open Data de Microsoft et ses collaborations avec The GovLab, l’Institutional Data Initiative de Harvard et des projets menés par l’Europe, elle a souligné la nécessité d’élargir l’accès à des ensembles de données reflétant la diversité culturelle et linguistique.\u003C\u002Fp>\n\u003Cp dir=\"ltr\">Malgré ces progrès, Mme Hutson a averti que de nombreux modèles d’IA restent limités par des données biaisées ou fragmentées, en particulier dans les langues et les régions disposant de peu de ressources. Elle a fait valoir que la solution réside dans le développement de « biens communs de données » — des pools de données partagés, gérés dans un souci de réutilisation, d’interopérabilité et de responsabilité. \u003C\u002Fp>\n\u003Cp dir=\"ltr\">Considérant le nouveau défi des communs comme un pas en avant, elle a invité les participants à se considérer comme les gardiens de données susceptibles d’alimenter des solutions d’IA pour la gestion des catastrophes, la prise de décision localisée et le bien public au sens large.\u003C\u002Fp>\n\u003Ch3 dir=\"ltr\">Cadrer le défi : les communs de données comme infrastructure manquante\u003Cbr>\u003Cbr>\u003C\u002Fh3>\n\u003Ccenter>\u003Cimg src=\"https:\u002F\u002Fcms.thegovlab.com\u002Fassets\u002F48b180df-b532-4bf3-9f76-d75402f61c4d.png?width=607&height=405\" alt=\"Stefaan delivers remarks on the New Commons Challenge Showcase\">\u003C\u002Fcenter>\n\u003Cp dir=\"ltr\">Stefaan Verhulst, cofondateur et directeur de la recherche et du développement de The GovLab, a ensuite pris la parole pour présenter le New Commons Challenge. Il a décrit les biens communs de données comme « l’infrastructure manquante » pour l’IA d’intérêt public — essentielle pour déployer à grande échelle des solutions destinées à l’aide humanitaire, à la prise de décision locale et à d’autres besoins sociétaux urgents. \u003C\u002Fp>\n\u003Cp dir=\"ltr\">Alors que le monde regorge de données, une grande partie de celles-ci reste inaccessible ou inutilisable pour le bien public. Les communs de données, a-t-il fait valoir, fournissent à la fois les cadres de gouvernance et les cadres techniques permettant de mettre à disposition des données de haute qualité et adaptées au contexte, d’une manière qui respecte les attentes des communautés. Sans ces communs, la promesse d’une « IA au service du bien » risque d’être limitée ou non durable.\u003C\u002Fp>\n\u003Cp dir=\"ltr\">Il a ensuite expliqué comment cette prise de conscience avait conduit The GovLab, en partenariat avec Microsoft, Direct Relief\u002FCrisisReady, l’Institutional Data Initiative de Harvard et l’UNESCO, à lancer le tout premier New Commons Challenge six mois plus tôt. L’objectif était d’identifier et de soutenir les pionniers qui font progresser les communs de données dans la pratique. \u003C\u002Fp>\n\u003Cp dir=\"ltr\">La réponse, a-t-il noté, a été impressionnante : 170 candidatures provenant de 51 pays, dont plus de 150 ont été examinées en détail et 44 ont été invitées à passer à l’étape suivante. Ce processus a permis de désigner deux lauréats et d’attribuer plusieurs mentions honorables, démontrant ainsi que le concept de biens communs de données n’est pas abstrait, mais qu’il est déjà mis en œuvre par une communauté mondiale en pleine expansion.\u003C\u002Fp>\n\u003Ch3 dir=\"ltr\">La cérémonie de remise des prix\u003Cbr>\u003Cbr>\u003C\u002Fh3>\n\u003Ccenter>\u003Cimg src=\"https:\u002F\u002Fcms.thegovlab.com\u002Fassets\u002Fff71ad2e-e26b-4b56-8916-782a9f3f9845.jpeg?width=554&height=739\" alt=\"The New Commons Challenge Awards\">\u003C\u002Fcenter>\n\u003Cp dir=\"ltr\">À la suite de ces remarques, Teresa et Stefaan ont annoncé les lauréats du New Commons Challenge.\u003C\u002Fp>\n\u003Cp dir=\"ltr\">L’Institut CERTI Amazônia a reçu le prix pour l’amélioration d’un patrimoine de données. Son Amazon Rainforest Evolution Index transforme les données environnementales en outils compatibles avec l’IA pour suivre la déforestation et les changements d’affectation des sols dans l’Amazonie légale du Brésil — une région couvrant neuf États et environ 61 % du territoire brésilien —, facilitant ainsi la prise de décisions en faveur du développement durable.\u003C\u002Fp>\n\u003Cp dir=\"ltr\">Le Programme de recherche et d’éducation pour la paix de l’Université de New York (NYU) est le lauréat de la catégorie « Développement d’une base de données commune ». Leur initiative, Malawi Voice Data Commons, développée en collaboration avec Ushahidi, le PNUD et la Fondation Mozilla, permet aux habitants des zones rurales du Malawi de signaler des situations d’urgence dans leur langue maternelle, créant ainsi des ensembles de données multilingues et compatibles avec l’IA pour les interventions humanitaires et la préservation des langues. Le projet pilote se déroulera au Malawi et devrait ensuite être étendu à toute l’Afrique subsaharienne.\u003C\u002Fp>\n\u003Cp dir=\"ltr\">Les deux équipes ont présenté leurs propositions lauréates et ont discuté de la manière dont elles utiliseraient le financement pour soutenir leurs initiatives de biens communs de données.\u003C\u002Fp>\n\u003Cp dir=\"ltr\">Le Challenge a également annoncé plusieurs mentions honorables, notamment :\u003C\u002Fp>\n\u003Cul>\n\u003Cli dir=\"ltr\" aria-level=\"1\">\n\u003Cp dir=\"ltr\" role=\"presentation\">\u003Ca href=\"#\">Querido Diário d’Open Knowledge Brasil\u003C\u002Fa> : l’initiative d’Open Knowledge Brasil convertit les journaux officiels municipaux en ensembles de données lisibles par l’IA, favorisant ainsi la transparence, le contrôle citoyen et une gouvernance inclusive à travers le Brésil.\u003C\u002Fp>\n\u003C\u002Fli>\n\u003Cli dir=\"ltr\" aria-level=\"1\">\n\u003Cp dir=\"ltr\" role=\"presentation\">\u003Ca href=\"#\">Know Your City Academy de Slum Dwellers International\u003C\u002Fa> : Slum Dwellers International et Arkology Studio construisent une base de données commune pour plus de 5 000 quartiers informels dans 18 pays africains, en intégrant des récits oraux et des données structurées afin de promouvoir l’apprentissage entre pairs et des pratiques inclusives en matière de données.\u003C\u002Fp>\n\u003C\u002Fli>\n\u003Cli dir=\"ltr\" aria-level=\"1\">\n\u003Cp dir=\"ltr\" role=\"presentation\">\u003Ca href=\"#\">Le PLACE Hub de la Fondation PLACE au Nigeria\u003C\u002Fa>: Financé par ThisisPLACE, PLACE reproduit son modèle éprouvé dans d’autres régions, notamment à Abuja, au Nigeria, afin d’étendre son infrastructure de données spatiales pilotée par la communauté et de permettre une IA responsable pour l’urbanisme, la gestion des catastrophes et le développement des infrastructures au Nigeria.   \u003C\u002Fp>\n\u003C\u002Fli>\n\u003Cli dir=\"ltr\" aria-level=\"1\">\n\u003Cp dir=\"ltr\" role=\"presentation\">\u003Ca href=\"#\">« Advancing Climate Justice » du Global Strategic Litigation Council\u003C\u002Fa> : La base de données « Climate Mobility Case Database » : des dizaines de millions de personnes sont déplacées chaque année en raison de la crise climatique. La base de données sur les affaires de mobilité climatique utilise l’IA pour synthétiser la jurisprudence mondiale complexe relative aux déplacements climatiques en connaissances accessibles et multilingues. En synthétisant les enseignements tirés des tribunaux du monde entier, cette plateforme ouverte fournit aux communautés, aux praticiens et aux décideurs politiques les outils nécessaires pour défendre les droits, renforcer le plaidoyer et promouvoir la réforme des politiques en faveur des personnes en danger et déplacées pour des raisons climatiques à travers le monde. Développée par le Global Strategic Litigation Council, en collaboration avec Earth Refuge, l'Institut Raoul Wallenberg et l'Institut Zolberg.\u003C\u002Fp>\n\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Cp dir=\"ltr\">Vous trouverez plus d'informations sur chaque lauréat et participant honoré \u003Ca href=\"https:\u002F\u002Fwww.newcommons.ai\u002Fblog\u002Fbuilding-the-future-of-public-interest-ai-certi-amazonia-institute-and-nyu-peace-research-announced-as-winners-of-the-new-commons-challenge\">ici\u003C\u002Fa>.\u003C\u002Fp>\n\u003Ch3 dir=\"ltr\">Discussion informelle : les biens communs de données pour l'innovation en IA et l'impact mondial\u003Cbr>\u003Cbr>\u003C\u002Fh3>\n\u003Ccenter>\u003Cimg src=\"https:\u002F\u002Fcms.thegovlab.com\u002Fassets\u002F9c7e9e71-3eab-4f9e-a2b8-c5a53db88638.jpg?width=607&height=405\" alt=\"The fireside chat with Isabel De Sola Criado\">\u003C\u002Fcenter>\n\u003Cp dir=\"ltr\">La cérémonie de remise des prix a ensuite été suivie d’une discussion informelle entre Stefaan G. Verhulst, cofondateur et directeur de la recherche et du développement de The GovLab, et Isabel De Sola Criado, responsable de l’unité de coordination au Bureau des Nations Unies pour les technologies numériques et émergentes. Leur conversation a porté sur la manière dont les biens communs de données peuvent accélérer l'innovation en matière d'IA, amplifier l'impact d'intérêt public et soutenir les stratégies numériques mondiales. \u003C\u002Fp>\n\u003Cp dir=\"ltr\">Vous trouverez ci-dessous un résumé des principaux thèmes abordés.\u003C\u002Fp>\n\u003Ch4 dir=\"ltr\">(1) Les biens communs de données en tant qu’infrastructure mondiale\u003C\u002Fh4>\n\u003Cp dir=\"ltr\">M. Verhulst a ouvert la discussion en présentant les biens communs de données comme « l’infrastructure manquante » pour l’IA d’intérêt public. Il a souligné leur rôle dans la mise à disposition de données de haute qualité et adaptées au contexte, d’une manière qui respecte les attentes des communautés. Mme Criado a abondé dans ce sens, en situant les biens communs de données dans le cadre plus large du Pacte numérique mondial (GDC) des Nations unies, qu’elle a décrit comme une étape décisive dans le renouvellement de l’agenda numérique mondial. Elle a souligné que la gouvernance des données — l’un des cinq piliers du GDC — fait explicitement référence aux biens communs de données comme un outil permettant de réduire les fractures numériques et de prévenir une future fracture de l’IA.\u003C\u002Fp>\n\u003Ch4 dir=\"ltr\">(2) Le Pacte numérique mondial et la gouvernance des données\u003C\u002Fh4>\n\u003Cp dir=\"ltr\">Mme Criado a expliqué que le GDC définit des priorités interdépendantes : combler les fractures numériques, renforcer l’économie numérique, promouvoir un espace en ligne sûr et ouvert, faire progresser la gouvernance des données et garantir une IA responsable. Elle a fait valoir que les communs de données constituent un moyen concret d’atteindre ces objectifs, en particulier le quatrième pilier relatif à la gouvernance des données. Elle a souligné que la mise en place d’une IA éthique nécessite une gouvernance éthique des données et que les communs offrent un exemple de gestion responsable des données tout en créant une large valeur sociétale.\u003C\u002Fp>\n\u003Ch4 dir=\"ltr\">(3) Besoins diversifiés parmi les États membres\u003C\u002Fh4>\n\u003Cp dir=\"ltr\">Mme Verhulst a invité Mme Criado à partager ce qu’elle entend des États membres de l’ONU et de la société civile concernant les défis liés à l’avancement de la gouvernance des données. Elle a expliqué que les besoins varient considérablement en fonction des contextes politiques, économiques et de développement. Certains pays se concentrent sur le renforcement des infrastructures de données de base ou l’adoption de lois sur la protection de la vie privée, tandis que d’autres sont aux prises avec le renforcement des capacités et la responsabilisation. Elle a noté que de nombreux pays en développement se sentent submergés par des priorités numériques concurrentes, allant de la connectivité au développement des compétences, ce qui plaide en faveur d’une gouvernance des données solide comme fondement d’une transformation numérique plus large.\u003C\u002Fp>\n\u003Ch4 dir=\"ltr\">(4) Aligner la gouvernance des données et celle de l’IA\u003C\u002Fh4>\n\u003Cp dir=\"ltr\">La discussion a également mis en évidence l’interconnexion profonde entre la gouvernance des données et celle de l’IA. M. Verhulst a souligné que la gouvernance de l’IA ne peut progresser sans des systèmes solides d’accès aux données et de contrôle. Criado a fait écho à ce point, mentionnant les initiatives en cours des Nations unies telles que le Dialogue mondial sur la gouvernance de l’IA et l’Organe consultatif de haut niveau du Secrétaire général sur l’IA. Ces deux initiatives reconnaissent que les biens communs de données sont essentielles pour garantir que les systèmes d’IA soient équitables, transparents et responsables.\u003C\u002Fp>\n\u003Ch4 dir=\"ltr\">(5) Incitations, confiance et rôle des intermédiaires\u003C\u002Fh4>\n\u003Cp dir=\"ltr\">Mme Criado a conclu en soulignant l’importance des incitations et de la confiance dans la mise en place de communs de données durables. Elle a fait remarquer que les organisations et les gouvernements se demandent souvent : « Qu'est-ce que cela m'apporte ? » — d'où la nécessité cruciale d'exposer clairement les avantages du partage des données. Selon elle, des intermédiaires de confiance peuvent jouer un rôle essentiel pour rassembler les différentes parties prenantes et garantir que les décisions soient prises de manière transparente et équitable. Elle a également souligné la nécessité de créer des pools de données qui traitent de questions urgentes telles que les droits de l’homme, la sécurité en ligne et la protection des femmes et des filles, notant que ces domaines restent sous-développés malgré leur importance.\u003C\u002Fp>\n\u003Ch3 dir=\"ltr\">Conclusions : Célébrer les progrès numériques et les partenariats\u003Cbr>\u003Cbr>\u003C\u002Fh3>\n\u003Ccenter>\u003Cimg src=\"https:\u002F\u002Fcms.thegovlab.com\u002Fassets\u002F4c5812ed-c0cc-4dba-81c6-4be5670fc545.png?width=607&height=405\" alt=\"Closing remarks of the New Commons Award Showcase\">\u003C\u002Fcenter>\n\u003Cp dir=\"ltr\">L'événement s'est conclu par les réflexions d'Alex Wong, conseiller principal pour l'engagement stratégique et les initiatives à l'Union internationale des télécommunications (UIT), et de Robert Opp, directeur numérique au Programme des Nations Unies pour le développement (PNUD). M. Wong a souligné qu’au milieu des débats actuels sur les risques liés à la gouvernance, il est tout aussi important de célébrer le pouvoir de l’innovation numérique. \u003C\u002Fp>\n\u003Cp dir=\"ltr\">Il a mis en avant l’étendue des initiatives présentées dans le cadre du programme « Digital at UNGA » de l’Assemblée générale des Nations Unies — couvrant l’agriculture, la santé, la jeunesse et le changement climatique — comme preuve de la manière dont la technologie remodèle les sociétés. Il a mis en avant le New Commons Challenge dans le cadre de cette dynamique, soulignant le rôle d’entreprises telles que Microsoft qui s’engagent à réaliser d’importants nouveaux investissements dans les compétences et la formation en IA.\u003C\u002Fp>\n\u003Cp dir=\"ltr\">M. Opp a développé ces réflexions en soulignant que les données constituent le fondement même de la transformation numérique. Il a noté que, à mesure que les pays investissent dans les infrastructures numériques, l’interopérabilité et une gouvernance fiable des données sont ce qui permet d’offrir de meilleurs services publics, d’éclairer l’élaboration des politiques et de favoriser l’innovation dans le secteur privé. À l’ère de l’IA, a-t-il fait valoir, cela devient encore plus crucial : les données doivent être précises, représentatives et gérées de manière responsable pour que les modèles puissent faire progresser le développement durable en toute sécurité. M. Opp a conclu en soulignant l’importance de la collaboration et des partenariats, mettant en avant la manière dont les efforts conjoints de l’UIT et du PNUD démontrent l’intérêt de combiner l’expertise technique avec une perspective de développement humain. Il a replacé ce travail dans le contexte d’une année riche en événements marquants — notamment les anniversaires de l’UIT, de l’ONU, du PNUD et du Sommet mondial sur la société de l’information —, rappelant aux participants que les efforts collectifs d’aujourd’hui façonneront l’avenir numérique pour les décennies à venir.\u003C\u002Fp>\n\u003Cp dir=\"ltr\">***\u003C\u002Fp>\n\u003Cp dir=\"ltr\">Vous avez des questions ou souhaitez collaborer ? Contactez-nous à l'adresse \u003Ca href=\"mailto:newcommons@opendatapolicylab.org\">newcommons@opendatapolicylab.org\u003C\u002Fa>. \u003C\u002Fp>\n\u003Cp>\u003Cem>Ce contenu a été traduit automatiquement avec DeepL.\u003C\u002Fem>\u003C\u002Fp>",{},"advancing-data-governance-for-ai-innovation-insights-from-the-2025-new-commons-challenge-event","fr\u002Fblogposts\u002Fadvancing-data-governance-for-ai-innovation-insights-from-the-2025-new-commons-challenge-event","V2Bf3zicvdwZ9gnKrOXUR-5uRqya2O5DkOgUOzQiFjk",{"id":18,"brow":19,"cover_image":20,"date":21,"excerpt":9,"extension":10,"heading":22,"main_content":23,"meta":24,"slug":25,"stem":26,"tagline":9,"__hash__":27},"blogposts_fr\u002Ffr\u002Fblogposts\u002Fbuilding-the-future-of-public-interest-ai-certi-amazonia-institute-and-nyu-peace-research-announced-as-winners-of-the-new-commons-challenge.json","Communiqué de presse","https:\u002F\u002Fcms.thegovlab.com\u002Fassets\u002Fb667ce08-93c5-4849-a1d4-6a42a9f2ebed","2025-09-26","Construire l'avenir de l'IA au service de l'intérêt général : l'Institut Certi Amazônia et le département de recherche sur la paix de l'université de New York (NYU) ont été désignés lauréats du New Commons Challenge","\u003Cp dir=\"ltr\">\u003Cstrong>New York, le 25 septembre 2025\u003C\u002Fstrong>—La qualité de l'intelligence artificielle dépend entièrement de celle des données sur lesquelles elle s'appuie. Pour les applications d’intérêt public — des interventions d’urgence à la prise de décision au niveau local —, il est essentiel de disposer d’ensembles de données de haute qualité, représentatifs et gérés de manière responsable. Pourtant, trop souvent, les données nécessaires aux interventions humanitaires ou à la résolution de problèmes locaux sont fragmentées, inaccessibles ou ne correspondent pas aux besoins et aux attentes des communautés.\u003C\u002Fp>\n\u003Cp dir=\"ltr\">Les communs de données comblent cette lacune. En regroupant des ensembles de données selon des règles de gouvernance claires — avec un objectif, une gestion et des garanties partagés —, ils créent une infrastructure fiable pour une IA responsable. Contrairement aux projets de données ponctuels, les communs sont conçus pour la réutilisation, l’interopérabilité et la responsabilité, garantissant ainsi que les solutions d’IA sont non seulement techniquement solides, mais aussi socialement acceptables.\u003C\u002Fp>\n\u003Cp style=\"margin-left: 40px;\">« L’avenir de l’IA dans l’intérêt public ne dépend pas uniquement des algorithmes — il dépend des données que nous choisissons de partager, de la manière dont nous les gérons et de la valeur que les communautés accordent à leur réutilisation. » — Stefaan Verhulst, The GovLab\u003C\u002Fp>\n\u003Cp style=\"margin-left: 40px;\">« De l’aide d’urgence en cas de catastrophe à la santé publique, le moyen le plus rapide d’avoir un impact est de rendre les données de première ligne accessibles, fiables et réutilisables. » — Andrew Schroeder, vice-président de la recherche et de l’analyse, Direct Relief\u003C\u002Fp>\n\u003Cp dir=\"ltr\">C’est précisément l’objectif du \u003Ca href=\"https:\u002F\u002Fwww.newcommons.ai\u002F'\">New Commons Challenge\u003C\u002Fa> : accélérer la création de communs de données qui alimentent les solutions basées sur l’IA tout en respectant les attentes des communautés et en maximisant la valeur publique.\u003C\u002Fp>\n\u003Cp dir=\"ltr\">Le Challenge récompense deux initiatives en leur attribuant chacune 100 000 dollars pour développer des biens communs de données qui alimentent une innovation responsable en matière d’IA dans le domaine de la réponse aux catastrophes et de la prise de décision localisée. Il s’agit d’une initiative de l’ \u003Ca href=\"https:\u002F\u002Fopendatapolicylab.org\u002F\">Open Data Policy Lab\u003C\u002Fa> (une collaboration entre Microsoft et The GovLab) et a été menée en partenariat avec \u003Ca href=\"https:\u002F\u002Fwww.directrelief.org\u002F\">Direct Relief\u003C\u002Fa>\u002F\u003Ca href=\"http:\u002F\u002Fcrisisready.io\">CrisisReady\u003C\u002Fa>, l’\u003Ca href=\"https:\u002F\u002Fhls.harvard.edu\u002Flibrary\u002Fabout-the-library\u002Flibrary-staff\u002Finstitutional-data-initiative\u002F\">Institutional Data Initiative de la bibliothèque de la faculté de droit de Harvard\u003C\u002Fa> et l’\u003Ca href=\"https:\u002F\u002Fwww.unesco.org\u002Fen\">UNESCO\u003C\u002Fa> (observateur international).\u003C\u002Fp>\n\u003Cp dir=\"ltr\">Le jeudi 25 septembre, lors d'un événement à New York, les lauréats du New Commons Challenge 2025 ont été annoncés. \u003C\u002Fp>\n\u003Cp dir=\"ltr\">L'Institut Certi Amazônia et le Programme de recherche et d'éducation pour la paix de l'Université de New York (NYU) ont été désignés lauréats du New Commons Challenge : \u003C\u002Fp>\n\u003Cp dir=\"ltr\"> \u003C\u002Fp>\n\u003Ccenter>\u003Cimg src=\"https:\u002F\u002Fcms.thegovlab.com\u002Fassets\u002F2a37a334-8a50-40e7-876b-289be218afa3.jpg?width=729&height=486\" alt=\"Presentation on the Amazon Rainforest Presentation\">\u003C\u002Fcenter>\n\u003Cp> \u003C\u002Fp>\n\u003Cp dir=\"ltr\">L’Institut CERTI Amazônia a reçu le prix pour l’amélioration d’un ensemble de biens communs de données. Son \u003Ca href=\"#\" target=\"_blank\" rel=\"noopener\">Amazon Rainforest Evolution Index\u003C\u002Fa> transforme les données environnementales en outils compatibles avec l’IA pour suivre la déforestation et les changements d’affectation des sols dans l’Amazonie légale du Brésil — une région couvrant neuf États et environ 61 % du territoire brésilien —, facilitant ainsi la prise de décisions en faveur du développement durable.\u003C\u002Fp>\n\u003Cp dir=\"ltr\">« L’Amazonie change sous nos yeux. Grâce à l’Amazon Rainforest Evolution Index, nous transformons des données disparates en un ensemble de biens communs de données que les communautés, les scientifiques et les décideurs politiques peuvent tous utiliser. Notre objectif est de favoriser des choix durables qui protègent à la fois la forêt et les populations qui en dépendent.” — \u003Cem>Directeur exécutif, Institut CERTI Amazônia\u003C\u002Fem>\u003C\u002Fp>\n\u003Ccenter>\u003Cem>\u003Cimg src=\"https:\u002F\u002Fcms.thegovlab.com\u002Fassets\u002Fcf41aa9a-3e6d-4a2b-b0eb-a0a946881eff.png?width=648&height=432\" alt=\"Presentation from the Malawi Voice Data Commons\">\u003C\u002Fem>\u003C\u002Fcenter>\n\u003Cp> \u003C\u002Fp>\n\u003Cp dir=\"ltr\">Le Programme de recherche et d’éducation pour la paix de l’Université de New York (NYU) est le lauréat de la catégorie « Développement d’une plateforme de données partagées ». Son initiative, \u003Ca href=\"#\" target=\"_blank\" rel=\"noopener\">Malawi Voice Data Commons\u003C\u002Fa>, développée en collaboration avec Ushahidi, le PNUD et la Fondation Mozilla, permet aux habitants des zones rurales du Malawi de signaler des situations d’urgence dans leur langue maternelle, créant ainsi des ensembles de données multilingues et compatibles avec l’IA pour les interventions humanitaires et la préservation des langues. Le projet pilote se déroulera au Malawi et devrait ensuite être étendu à l'ensemble de l'Afrique subsaharienne.\u003C\u002Fp>\n\u003Cp dir=\"ltr\">« Lorsque des inondations se profilent ou que des violences éclatent, les barrières linguistiques peuvent être mortelles. Le Malawi Voice Data Commons permet aux habitants des zones rurales du Malawi de signaler les urgences dans leur propre langue tout en préservant le patrimoine culturel. En rendant ces voix compatibles avec l’IA, nous garantissons une intervention humanitaire plus rapide et plus inclusive.” — \u003Cem>Katerina Siira et Marine Collins Ragnet, co-responsables du programme, NYU Peace Research and Education Program\u003C\u002Fem>\u003C\u002Fp>\n\u003Cp dir=\"ltr\">Le \u003Ca href=\"#\">jury\u003C\u002Fa>, composé d’experts issus de divers horizons (technologie, société civile, milieu universitaire et organisations internationales), a également décerné quatre distinctions honorifiques. Parmi celles-ci figuraient :\u003C\u002Fp>\n\u003Cp dir=\"ltr\">\u003Cem>\u003Cstrong>Développement d'une base de données commune :\u003C\u002Fstrong>\u003C\u002Fem>\u003C\u002Fp>\n\u003Cul>\n\u003Cli dir=\"ltr\" aria-level=\"1\">\n\u003Cp dir=\"ltr\" role=\"presentation\">\u003Cstrong>\u003Ca href=\"#\" target=\"_blank\" rel=\"noopener\">Querido Diário d’Open Knowledge Brasil\u003C\u002Fa> : \u003C\u002Fstrong>L’initiative d’Open Knowledge Brasil convertit les journaux officiels municipaux en ensembles de données lisibles par l’IA, favorisant ainsi la transparence, le contrôle citoyen et une gouvernance inclusive à travers le Brésil.\u003C\u002Fp>\n\u003C\u002Fli>\n\u003Cli dir=\"ltr\" aria-level=\"1\">\n\u003Cp dir=\"ltr\" role=\"presentation\">\u003Cstrong>\u003Ca href=\"#\" target=\"_blank\" rel=\"noopener\">« Know Your City Academy » de Slum Dwellers International\u003C\u002Fa>:\u003C\u002Fstrong> Slum Dwellers International et Arkology Studio construisent une base de données commune pour plus de 5 000 quartiers informels dans 18 pays africains, en intégrant des récits oraux et des données structurées afin de promouvoir l’apprentissage entre pairs et des pratiques inclusives en matière de données.\u003C\u002Fp>\n\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Cp>\u003Cstrong> \u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp dir=\"ltr\">\u003Cstrong>\u003Cem>Renforcement d’une plateforme de données partagées\u003C\u002Fem>\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cul>\n\u003Cli dir=\"ltr\" aria-level=\"1\">\n\u003Cp dir=\"ltr\" role=\"presentation\">\u003Cstrong>\u003Ca href=\"#\" target=\"_blank\" rel=\"noopener\">Le PLACE Hub de la Fondation PLACE au Nigeria\u003C\u002Fa>: \u003C\u002Fstrong>Financé par ThisisPLACE, PLACE reproduit son modèle éprouvé dans d’autres régions, notamment à Abuja, au Nigeria, afin d’étendre son infrastructure de données spatiales axée sur la communauté et de permettre une IA responsable pour l’urbanisme, la gestion des catastrophes et le développement des infrastructures au Nigeria.   \u003C\u002Fp>\n\u003C\u002Fli>\n\u003Cli dir=\"ltr\" aria-level=\"1\">\n\u003Cp dir=\"ltr\" role=\"presentation\">\u003Cstrong>\u003Ca href=\"#\" target=\"_blank\" rel=\"noopener\">Advancing Climate Justice du Global Strategic Litigation Council\u003C\u002Fa> : T\u003C\u002Fstrong>he Climate Mobility Case Database : Des dizaines de millions de personnes sont déplacées chaque année en raison de la crise climatique. La base de données sur les affaires de mobilité climatique utilise l’IA pour synthétiser la jurisprudence mondiale complexe relative aux déplacements climatiques en connaissances accessibles et multilingues. En synthétisant les enseignements tirés des tribunaux du monde entier, cette plateforme ouverte fournit aux communautés, aux praticiens et aux décideurs politiques les outils nécessaires pour défendre les droits, renforcer le plaidoyer et promouvoir la réforme des politiques en faveur des personnes en situation de risque et déplacées pour des raisons climatiques à travers le monde. Développée par le Global Strategic Litigation Council, en collaboration avec Earth Refuge, l’Institut Raoul Wallenberg et l’Institut Zolberg.\u003Cstrong>\u003Cbr>\u003C\u002Fstrong>\u003C\u002Fp>\n\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Ch3 dir=\"ltr\">Prochaines étapes\u003C\u002Fh3>\n\u003Cp dir=\"ltr\">Le New Commons Challenge ne vise pas seulement à récompenser les innovateurs, mais aussi à construire un écosystème plus large pour les biens communs de données. La prochaine phase comprendra :\u003C\u002Fp>\n\u003Cul>\n\u003Cli dir=\"ltr\" aria-level=\"1\">\n\u003Cp dir=\"ltr\" role=\"presentation\">\u003Cstrong>Soutien à l’incubation : \u003C\u002Fstrong>Offrir aux équipes lauréates un accompagnement, une assistance technique et des opportunités d’apprentissage entre pairs afin d’affiner et de développer leurs biens communs de données.\u003C\u002Fp>\n\u003C\u002Fli>\n\u003Cli dir=\"ltr\" aria-level=\"1\">\n\u003Cp dir=\"ltr\" role=\"presentation\">\u003Cstrong>Répertoire d'exemples : \u003C\u002Fstrong>Développer notre bibliothèque ouverte et évolutive de projets de biens communs de données à l'échelle mondiale, offrant aux décideurs politiques, aux praticiens et aux bailleurs de fonds une ressource pour s'inspirer de modèles éprouvés.\u003C\u002Fp>\n\u003C\u002Fli>\n\u003Cli dir=\"ltr\" aria-level=\"1\">\n\u003Cp dir=\"ltr\" role=\"presentation\">\u003Cstrong>Plan directeur pour le développement d'un patrimoine de données :\u003C\u002Fstrong> Mise en œuvre de conseils pratiques sur la manière de concevoir, de gérer et de pérenniser les patrimoines de données de manière à répondre aux attentes de la communauté et à servir l'intérêt public.\u003Cbr>\u003Cbr>\u003C\u002Fp>\n\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Cp dir=\"ltr\">Ensemble, ces efforts garantiront que le Challenge aille au-delà des récompenses — jetant les bases d'un mouvement mondial de communs de données qui ouvrent la voie à une IA responsable au service du bien commun.\u003C\u002Fp>\n\u003Cp dir=\"ltr\">Pour plus d'informations sur le New Commons Challenge et les lauréats 2025, rendez-vous sur \u003Ca href=\"http:\u002F\u002Fnewcommons.ai\">newcommons.ai\u003C\u002Fa> ou envoyez-nous un e-mail à \u003Ca href=\"mailto:newcommons@opendatapolicylab.org\">newcommons@opendatapolicylab.org\u003C\u002Fa>. \u003C\u002Fp>\n\u003Cp>\u003Cem>Ce contenu a été traduit automatiquement avec DeepL.\u003C\u002Fem>\u003C\u002Fp>",{},"building-the-future-of-public-interest-ai-certi-amazonia-institute-and-nyu-peace-research-announced-as-winners-of-the-new-commons-challenge","fr\u002Fblogposts\u002Fbuilding-the-future-of-public-interest-ai-certi-amazonia-institute-and-nyu-peace-research-announced-as-winners-of-the-new-commons-challenge","zdd7Iz5xkXwHkbvkm_FZHoXyQEQ6CpdhJ_JhJmWese8",{"id":29,"brow":30,"cover_image":31,"date":32,"excerpt":9,"extension":10,"heading":33,"main_content":34,"meta":35,"slug":36,"stem":37,"tagline":38,"__hash__":39},"blogposts_fr\u002Ffr\u002Fblogposts\u002Fsignals-of-demand-what-the-new-commons-challenge-tells-us-about-the-need-and-opportunity-of-data-commons.json","Phase 1","https:\u002F\u002Fcms.thegovlab.com\u002Fassets\u002Fb6d6aaa1-ef2c-499b-b2db-fc9b7dd0f139","2025-06-12","Signaux de la demande : ce que le New Commons Challenge nous apprend sur la nécessité et les opportunités des biens communs de données","\u003Cp dir=\"ltr\">La semaine dernière, nous avons clôturé les candidatures pour notre \u003Ca href=\"https:\u002F\u002Fblog.thegovlab.org\u002Fthe-new-commons-challenge-advancing-ai-for-public-good-through-data-commons\">New Commons Challenge\u003C\u002Fa>—un défi d’innovation ouverte visant à encourager l’utilisation des biens communs de données pour le développement de l’IA au service de la prise de décision locale et de l’action humanitaire.\u003C\u002Fp>\n\u003Cp dir=\"ltr\">L'engouement suscité par le New Commons Challenge témoigne clairement de l'intérêt croissant pour les biens communs de données en tant que catalyseur d'une IA d'intérêt public et d'un impact ancré au niveau local. Entre avril et juin, nous avons reçu \u003Cstrong>173 propositions\u003C\u002Fstrong> provenant du monde entier. \u003C\u002Fp>\n\u003Cp dir=\"ltr\">Bien que le Challenge se soit concentré sur deux domaines prioritaires — l’intervention humanitaire et la prise de décision locale —, les propositions couvraient un large éventail de types de données et de cas d’utilisation.\u003C\u002Fp>\n\u003Cp dir=\"ltr\">Alors que nous entrons dans la deuxième phase, nous tirons parti du processus d’examen actuel pour écouter les participants, ce qui nous aide à évaluer l’intérêt et le potentiel des communs de données à travers le monde. Quels types d’initiatives trouvent le plus d’écho auprès des professionnels de l’IA, des données et d’autres domaines ? D’où vient cette dynamique, et que peut-elle nous apprendre sur l’avenir émergent de la gouvernance collaborative des données ?\u003C\u002Fp>\n\u003Cp>\u003Cstrong> \u003C\u002Fstrong>\u003C\u002Fp>\n\u003Ch3 dir=\"ltr\">Géographie\u003C\u002Fh3>\n\u003Cp dir=\"ltr\">Sur les 173 candidatures reçues, 154 sont éligibles pour la première phase d'évaluation. Ces candidatures proviennent de 51 pays à travers le monde et reflètent l'intérêt mondial généralisé pour les initiatives de biens communs de données. \u003C\u002Fp>\n\u003Cp dir=\"ltr\" style=\"text-align: center;\">\u003Cimg src=\"https:\u002F\u002Fcms.thegovlab.com\u002Fassets\u002Fd5a80a7d-d077-48bd-b7a7-2a38bd39a2af.png?width=512&height=311\" alt=\"Submissions by Region\">\u003Cbr>\u003Cem>Résumé des régions d'où proviennent les propositions soumises par les candidats\u003C\u002Fem>\u003C\u002Fp>\n\u003Cp dir=\"ltr\" style=\"text-align: center;\">\u003Cimg src=\"https:\u002F\u002Fcms.thegovlab.com\u002Fassets\u002Fb1f49dff-37d7-4241-9c50-82a0126445b3.png?width=512&height=375\" alt=\"Submissions Map\">\u003Cbr>\u003Cem>Carte des villes d'où les candidats ont indiqué qu'ils soumettaient leurs propositions\u003C\u002Fem>\u003C\u002Fp>\n\u003Cp>\u003Cem>\u003Cstrong> \u003C\u002Fstrong>\u003C\u002Fem>\u003C\u002Fp>\n\u003Cp dir=\"ltr\">Type de prix\u003C\u002Fp>\n\u003Cp dir=\"ltr\">Les candidatures se répartissent en deux catégories : 103 candidatures (67 %) pour le Prix 1, axé sur la création d’un nouveau patrimoine de données, et 51 candidatures (33 %) pour le Prix 2, axé sur l’amélioration d’un patrimoine de données existant. \u003C\u002Fp>\n\u003Cp dir=\"ltr\">Tous les candidats doivent être affiliés à une organisation établie, et les candidatures proviennent principalement d'organisations à but non lucratif, de start-ups et d'organismes de recherche (universités ou instituts de recherche).\u003C\u002Fp>\n\u003Ch3 dir=\"ltr\">Candidats \u003C\u002Fh3>\n\u003Cp dir=\"ltr\" style=\"text-align: center;\">\u003Cimg src=\"https:\u002F\u002Fcms.thegovlab.com\u002Fassets\u002F0ff4f380-ceb3-4dd4-a9f4-bd1f3d481e59.png?width=512&height=317\" alt=\"Submissions by Entity Type\">\u003Cbr>\u003Cem>Répartition des types d’entités ayant soumis des propositions\u003C\u002Fem>\u003C\u002Fp>\n\u003Ch3 dir=\"ltr\">Données et type de soumission\u003C\u002Fh3>\n\u003Cp dir=\"ltr\">Presque toutes les soumissions concernent plusieurs types de données, mais les types de jeux de données les plus courants comprenaient :\u003C\u002Fp>\n\u003Cul>\n\u003Cli dir=\"ltr\" aria-level=\"1\">\n\u003Cp dir=\"ltr\" role=\"presentation\">Données textuelles ou non structurées (langue et linguistique, données juridiques, recherche et éducation, actualités et médias, données biomédicales)\u003C\u002Fp>\n\u003C\u002Fli>\n\u003Cli dir=\"ltr\" aria-level=\"1\">\n\u003Cp dir=\"ltr\" role=\"presentation\">Données structurées (par exemple, statistiques nationales, réseaux de capteurs, données administratives)\u003C\u002Fp>\n\u003C\u002Fli>\n\u003Cli dir=\"ltr\" aria-level=\"1\">\n\u003Cp dir=\"ltr\" role=\"presentation\">Imagerie (par exemple, graphes de connaissances, images spatiales, œuvres d'art, visualisations de données, ensembles de données géospatiales)\u003C\u002Fp>\n\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Cp dir=\"ltr\">De nombreuses propositions intégraient également des données audio et vidéo, ce qui témoigne d'un élargissement manifeste des types de données envisagées pour une utilisation dans les communs de données. Cette tendance reflète une prise de conscience croissante du fait que les données multimodales peuvent offrir des informations précieuses, en particulier lors de la conception de systèmes d'IA adaptés aux besoins et aux contextes locaux.\u003C\u002Fp>\n\u003Cp dir=\"ltr\">Le New Commons Challenge s'intéresse tout particulièrement aux communs de données qui soutiennent les interventions en cas de catastrophe ou la prise de décision locale. Environ \u003Cstrong>75 propositions \u003C\u002Fstrong>se concentraient exclusivement sur le soutien à la prise de décision locale. Sur les\u003Cstrong> 69 soumissions\u003C\u002Fstrong> consacrées à l'aide humanitaire, la grande majorité abordait également la manière dont leurs communs de données soutiendraient la prise de décision locale en matière de réponse aux crises ou de prévention. \u003C\u002Fp>\n\u003Cp>\u003Cstrong> \u003C\u002Fstrong>\u003C\u002Fp>\n\u003Ch3 dir=\"ltr\">Prochaines étapes : phase deux\u003C\u002Fh3>\n\u003Cp dir=\"ltr\">Une fois l'examen des notes conceptuelles de la phase 1 terminé, les candidats sélectionnés seront invités à soumettre une proposition complète décrivant leur cas d'utilisation et leur mise en œuvre. Un \u003Ca href=\"#\">groupe interdisciplinaire\u003C\u002Fa> évaluera les propositions en fonction de leur faisabilité, de leur caractère innovant et de leur impact potentiel. \u003C\u002Fp>\n\u003Cp dir=\"ltr\">Parmi les candidatures présélectionnées, deux équipes recevront chacune un financement de 100 000 dollars, ainsi qu'un accompagnement, des opportunités de réseautage et une visibilité internationale pour soutenir la mise en œuvre de leur plateforme de biens communs de données.\u003C\u002Fp>\n\u003Cp dir=\"ltr\">Les décisions seront finalisées dans les mois à venir. Pour en savoir plus sur le New Commons Challenge, vous pouvez consulter le site \u003Ca href=\"http:\u002F\u002Fnewcommons.ai\">newcommons.ai\u003C\u002Fa>. \u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>\n\u003Cp>\u003Cem>Ce contenu a été traduit automatiquement avec DeepL.\u003C\u002Fem>\u003C\u002Fp>",{},"signals-of-demand-what-the-new-commons-challenge-tells-us-about-the-need-and-opportunity-of-data-commons","fr\u002Fblogposts\u002Fsignals-of-demand-what-the-new-commons-challenge-tells-us-about-the-need-and-opportunity-of-data-commons","Avec plus de 170 candidats répartis sur six continents et dans d'innombrables secteurs, il est évident qu'il existe un besoin urgent de ressources pour développer des biens communs de données.","f7RncGnpLQwDO1hhld6x3flv8j0nxdFsJh7KdIGVXqY",{"id":41,"brow":42,"cover_image":43,"date":44,"excerpt":9,"extension":10,"heading":45,"main_content":46,"meta":47,"slug":48,"stem":49,"tagline":50,"__hash__":51},"blogposts_fr\u002Ffr\u002Fblogposts\u002Fdata-commons-the-missing-infrastructure-for-public-interest-artificial-intelligence.json","Article d'opinion","https:\u002F\u002Fcms.thegovlab.com\u002Fassets\u002Fa4e98f26-c3b5-49f2-9ea3-e5252b3916ae","2025-04-29","Biens communs de données : l'infrastructure manquante pour une intelligence artificielle au service de l'intérêt général","\u003Cp id=\"ember53\" class=\"ember-view reader-text-block__paragraph\">\u003Cem>Stefaan Verhulst (cofondateur de The GovLab et The Data Tank, professeur de recherche \u003C\u002Fem>\u003Ca class=\"IfLmRNJWDKWJahDEmDaCEOnDSeXHtBgyBFDsa \" tabindex=\"0\" href=\"https:\u002F\u002Fwww.linkedin.com\u002Fschool\u002Fnyutandonschoolofengineering\u002F\" data-test-app-aware-link=\"\"> à la NYU Tandon School of Engineering\u003C\u002Fa>\u003Cem>)\u003C\u002Fem>\u003C\u002Fp>\n\u003Cp id=\"ember54\" class=\"ember-view reader-text-block__paragraph\">\u003Ca id=\"ember55\" class=\"ember-view\" href=\"https:\u002F\u002Fwww.linkedin.com\u002Fin\u002Fburton-davis-b5812a8b\u002F\">Burton Davis\u003C\u002Fa> \u003Cem>(vice-président et directeur juridique adjoint, groupe Propriété intellectuelle chez \u003C\u002Fem>\u003Ca class=\"IfLmRNJWDKWJahDEmDaCEOnDSeXHtBgyBFDsa \" tabindex=\"0\" href=\"https:\u002F\u002Fwww.linkedin.com\u002Fcompany\u002Fmicrosoft\u002F\" data-test-app-aware-link=\"\">Microsoft\u003C\u002Fa> \u003Cem>)\u003C\u002Fem>\u003C\u002Fp>\n\u003Cp id=\"ember56\" class=\"ember-view reader-text-block__paragraph\">\u003Ca id=\"ember57\" class=\"ember-view\" href=\"https:\u002F\u002Fwww.linkedin.com\u002Fin\u002Faischroeder\u002F\">Andrew Schroeder\u003C\u002Fa> \u003Cem>(Vice-président de la recherche et de l'analyse chez \u003C\u002Fem>\u003Ca class=\"IfLmRNJWDKWJahDEmDaCEOnDSeXHtBgyBFDsa \" tabindex=\"0\" href=\"https:\u002F\u002Fwww.linkedin.com\u002Fcompany\u002Fdirectrelief\u002F\" data-test-app-aware-link=\"\">Direct Relief\u003C\u002Fa> \u003Cem>)\u003C\u002Fem>\u003C\u002Fp>\n\u003Cp id=\"ember58\" class=\"ember-view reader-text-block__paragraph\">L'intelligence artificielle est \u003Ca class=\"IfLmRNJWDKWJahDEmDaCEOnDSeXHtBgyBFDsa \" tabindex=\"0\" href=\"https:\u002F\u002Fwww.ecb.europa.eu\u002Fpress\u002Fkey\u002Fdate\u002F2025\u002Fhtml\u002Fecb.sp250401_1~d6c9d8df11.en.html\" target=\"_self\" data-test-app-aware-link=\"\">considérée\u003C\u002Fa> comme la technologie phare de notre époque. De ChatGPT à Copilot et au-delà, les systèmes d'IA générative redéfinissent notre façon de travailler, d'apprendre et de gouverner. Mais derrière ces avancées qui font la une des journaux se cache un problème fondamental : Les données dont dépendent ces systèmes pour produire des résultats utiles servant l’intérêt public sont de plus en plus inaccessibles.\u003C\u002Fp>\n\u003Cp id=\"ember59\" class=\"ember-view reader-text-block__paragraph\">Sans accès à des ensembles de données diversifiés et de haute qualité, les modèles d’IA risquent de renforcer les biais, d’aggraver les inégalités et de fournir des résultats moins fiables et plus imprécis. Pourtant, l'accès aux données reste fragmenté, cloisonné et de plus en plus restreint. Ce qui était autrefois ouvert —\u003Ca class=\"IfLmRNJWDKWJahDEmDaCEOnDSeXHtBgyBFDsa \" tabindex=\"0\" href=\"https:\u002F\u002Fwww.brookings.edu\u002Farticles\u002Fthe-us-government-data-purge-is-a-loss-for-policymaking-and-research\u002F\" target=\"_self\" data-test-app-aware-link=\"\">les archives gouvernementales\u003C\u002Fa>, \u003Ca class=\"IfLmRNJWDKWJahDEmDaCEOnDSeXHtBgyBFDsa \" tabindex=\"0\" href=\"https:\u002F\u002Fwww.scientificamerican.com\u002Fblog\u002Fobservations\u002Fscientific-research-shouldnt-sit-behind-a-paywall\u002F\" target=\"_self\" data-test-app-aware-link=\"\">la recherche scientifique\u003C\u002Fa>, \u003Ca class=\"IfLmRNJWDKWJahDEmDaCEOnDSeXHtBgyBFDsa \" tabindex=\"0\" href=\"https:\u002F\u002Ftheconversation.com\u002Fmeta-just-closed-a-vital-online-research-tool-its-bad-news-for-the-fight-against-misinformation-236785\" target=\"_self\" data-test-app-aware-link=\"\">médias publics\u003C\u002Fa>— est désormais verrouillé par des conditions de propriété, des politiques obsolètes ou une simple négligence. Nous entrons dans un \u003Ca class=\"IfLmRNJWDKWJahDEmDaCEOnDSeXHtBgyBFDsa \" tabindex=\"0\" href=\"https:\u002F\u002Fpolicylabs.frontiersin.org\u002Fcontent\u002Fcommentary-are-we-entering-a-data-winter\" target=\"_self\" data-test-app-aware-link=\"\">hiver des données\u003C\u002Fa> alors même que l'influence de l'IA sur la vie publique s'intensifie.\u003C\u002Fp>\n\u003Cp id=\"ember60\" class=\"ember-view reader-text-block__paragraph\">Il ne s’agit pas seulement d’un problème technique. C’est une défaillance structurelle. Ce dont nous avons besoin de toute urgence, c’est d’une nouvelle infrastructure : \u003Cstrong>des communs de données\u003C\u002Fstrong>.\u003C\u002Fp>\n\u003Cp id=\"ember61\" class=\"ember-view reader-text-block__paragraph\">Un « bien commun de données » (data commons) est un pool partagé de ressources de données — géré de manière responsable, administré selon des approches participatives et mis à disposition pour être réutilisé dans l’intérêt public. Bien gérés, les communs peuvent garantir que les communautés et autres réseaux \u003Ca class=\"IfLmRNJWDKWJahDEmDaCEOnDSeXHtBgyBFDsa \" tabindex=\"0\" href=\"https:\u002F\u002Fincubator.opendatapolicylab.org\u002Ffiles\u002Fdata-commons-for-ai-blueprint.pdf\" target=\"_self\" data-test-app-aware-link=\"\">aient leur mot à dire\u003C\u002Fa> sur l’utilisation de leurs données, que les organisations d’intérêt public puissent accéder aux données dont elles ont besoin, et que les avantages de l’IA puissent être mis à profit pour relever les défis sociétaux.\u003C\u002Fp>\n\u003Cp id=\"ember62\" class=\"ember-view reader-text-block__paragraph\">Les biens communs offrent une réponse pratique au paradoxe de la rareté des données au milieu de l’abondance. En mettant en commun les ensembles de données entre les organisations — gouvernements, universités, bibliothèques et autres —, ils font correspondre l’offre de données à la demande réelle, facilitant ainsi la création d’une IA qui réponde aux besoins du public.\u003C\u002Fp>\n\u003Cp id=\"ember63\" class=\"ember-view reader-text-block__paragraph\">Nous observons déjà les premiers signes de ce à quoi pourrait ressembler cet avenir. Des projets tels que \u003Ca class=\"IfLmRNJWDKWJahDEmDaCEOnDSeXHtBgyBFDsa \" tabindex=\"0\" href=\"https:\u002F\u002Fhuggingface.co\u002Fblog\u002FPclanglais\u002Fcommon-corpus\" target=\"_self\" data-test-app-aware-link=\"\">\u003Cstrong>Common Corpus\u003C\u002Fstrong>\u003C\u002Fa>, \u003Ca class=\"IfLmRNJWDKWJahDEmDaCEOnDSeXHtBgyBFDsa \" tabindex=\"0\" href=\"https:\u002F\u002Fmlcommons.org\u002F\" target=\"_self\" data-test-app-aware-link=\"\">\u003Cstrong>MLCommons\u003C\u002Fstrong>\u003C\u002Fa>, ainsi que l’\u003Ca class=\"IfLmRNJWDKWJahDEmDaCEOnDSeXHtBgyBFDsa \" tabindex=\"0\" href=\"https:\u002F\u002Finstitutionaldatainitiative.org\u002F\" target=\"_self\" data-test-app-aware-link=\"\">\u003Cstrong>Institutional Data Initiative\u003C\u002Fstrong>\u003C\u002Fa> montrent comment des institutions diverses peuvent collaborer pour rendre les données à la fois accessibles et responsables. Ces initiatives mettent l’accent sur les normes ouvertes, la gouvernance participative et la réutilisation responsable. Elles remettent en question l’idée selon laquelle les données doivent être soit verrouillées, soit laissées sans protection, en proposant une troisième voie fondée sur des valeurs communes et l’intérêt public.\u003C\u002Fp>\n\u003Cp id=\"ember64\" class=\"ember-view reader-text-block__paragraph\">Mais le rythme des progrès ne correspond pas à l’urgence du moment. Alors que les décideurs politiques débattent de la réglementation de l’IA, ils ignorent souvent l’infrastructure qui rend possible, en premier lieu, les applications d’intérêt public. Sans un meilleur accès à des données de haute qualité et gérées de manière responsable, l’IA au service du bien commun restera davantage une aspiration qu’une réalité.\u003C\u002Fp>\n\u003Cp id=\"ember65\" class=\"ember-view reader-text-block__paragraph\">C’est pourquoi nous lançons \u003Ca class=\"IfLmRNJWDKWJahDEmDaCEOnDSeXHtBgyBFDsa \" tabindex=\"0\" href=\"https:\u002F\u002Fnewcommons.ai\u002F\" target=\"_self\" data-test-app-aware-link=\"\">\u003Cstrong>le New Commons Challenge\u003C\u002Fstrong>\u003C\u002Fa>— un appel à l’action destiné aux universités, aux bibliothèques, à la société civile et aux technologues afin de construire des écosystèmes de données qui alimentent l’IA d’intérêt public. Cette initiative financera deux projets lauréats à hauteur de 100 000 dollars chacun afin de créer des prototypes de biens communs axés sur des domaines critiques tels que la réponse aux catastrophes et la prise de décision locale. Elle a obtenu le soutien essentiel de leaders dans ces domaines, avec \u003Ca class=\"IfLmRNJWDKWJahDEmDaCEOnDSeXHtBgyBFDsa \" tabindex=\"0\" href=\"https:\u002F\u002Fwww.directrelief.org\u002F\" target=\"_self\" data-test-app-aware-link=\"\">Direct Relief\u003C\u002Fa>\u002F\u003Ca class=\"IfLmRNJWDKWJahDEmDaCEOnDSeXHtBgyBFDsa \" tabindex=\"0\" href=\"https:\u002F\u002Fwww.crisisready.io\u002F\" target=\"_self\" data-test-app-aware-link=\"\">CrisisReady\u003C\u002Fa> et l’ \u003Ca class=\"IfLmRNJWDKWJahDEmDaCEOnDSeXHtBgyBFDsa \" tabindex=\"0\" href=\"https:\u002F\u002Finstitutionaldatainitiative.org\u002F\" target=\"_self\" data-test-app-aware-link=\"\">Institutional Data Initiative\u003C\u002Fa> de la bibliothèque de la faculté de droit de Harvard en tant que partenaires et \u003Ca class=\"IfLmRNJWDKWJahDEmDaCEOnDSeXHtBgyBFDsa \" tabindex=\"0\" href=\"https:\u002F\u002Fwww.unesco.org\u002Fen\" target=\"_self\" data-test-app-aware-link=\"\">l'UNESCO\u003C\u002Fa> en tant qu'observateur.\u003C\u002Fp>\n\u003Cp id=\"ember66\" class=\"ember-view reader-text-block__paragraph\">Le New Commons Challenge vise à mettre cette approche structurelle et guidée par la communauté au premier plan. Imaginez des outils d’IA capables d’aider les villes à se préparer aux inondations, à améliorer leur réponse aux crises ou à fournir des conseils contextualisés aux organisations d’intérêt public — non seulement dans les capitales prospères, mais aussi dans les régions défavorisées du monde entier. Ces applications sont possibles—mais seulement si les données appropriées sont disponibles pour les former et les faire fonctionner.\u003C\u002Fp>\n\u003Cp id=\"ember67\" class=\"ember-view reader-text-block__paragraph\">C’est pourquoi les communs de données, et le New Commons Challenge, sont si essentiels.\u003C\u002Fp>\n\u003Cp id=\"ember68\" class=\"ember-view reader-text-block__paragraph\">Si nous voulons une IA qui serve l’intérêt public, nous devons investir dans l’infrastructure qui la rend possible. Un patrimoine commun de données n’est pas une idée utopique. C’est un fondement pratique pour l’innovation qui reflète — et sert — la diversité de l’expérience humaine. Ce patrimoine commun ne se construira pas tout seul. Mais ensemble, nous pouvons le construire à temps.\u003C\u002Fp>\n\u003Cp>\u003Cem>Ce contenu a été traduit automatiquement avec DeepL.\u003C\u002Fem>\u003C\u002Fp>",{},"data-commons-the-missing-infrastructure-for-public-interest-artificial-intelligence","fr\u002Fblogposts\u002Fdata-commons-the-missing-infrastructure-for-public-interest-artificial-intelligence","L'« hiver des données » n'est pas seulement un problème technique. C'est une défaillance structurelle. Ce dont nous avons besoin de toute urgence, c'est d'une nouvelle infrastructure : des biens communs de données.","83aRD8_DqsI0WEdbu_ronlL3PZUBwctMGZ6Zah-mQQI",{"id":53,"brow":19,"cover_image":54,"date":55,"excerpt":9,"extension":10,"heading":56,"main_content":57,"meta":58,"slug":59,"stem":60,"tagline":61,"__hash__":62},"blogposts_fr\u002Ffr\u002Fblogposts\u002Fthe-new-commons-challenge-advancing-ai-for-public-good-through-data-commons.json","https:\u002F\u002Fcms.thegovlab.com\u002Fassets\u002Fb5e1edcd-a5b9-4e43-a332-9d6703a724bb","2025-04-14","Le New Commons Challenge : faire progresser l'IA au service de l'intérêt général grâce aux biens communs de données","\u003Cp>\u003Cstrong id=\"docs-internal-guid-cfd79097-7fff-cb4f-2c82-1906a0ff7c5c\">POUR DIFFUSION IMMÉDIATE\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp dir=\"ltr\">\u003Cstrong>200 000 dollars de financement disponibles pour des plateformes de biens communs de données innovantes qui améliorent la prise de décision locale et la gestion des catastrophes\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp dir=\"ltr\">\u003Cstrong>NEW YORK, New York\u003C\u002Fstrong>—L'Open Data Policy Lab, une collaboration entre le GovLab de l'université de New York et Microsoft, a lancé le \u003Cstrong>New Commons Challenge\u003C\u002Fstrong>, une initiative visant à promouvoir la réutilisation responsable des données pour des solutions basées sur l'IA qui améliorent la prise de décision locale et les interventions humanitaires. \u003C\u002Fp>\n\u003Cp dir=\"ltr\">Le Challenge récompensera deux institutions lauréates \u003Cstrong>avec 100 000 dollars chacune \u003C\u002Fstrong>pour développer des communs de données qui alimentent une innovation responsable en matière d'IA dans ces domaines critiques.\u003C\u002Fp>\n\u003Cp dir=\"ltr\">Avec l'utilisation croissante de l'IA générative dans la gestion des crises, la préparation aux catastrophes et la prise de décision locale, l'accès à des données diversifiées et de haute qualité n'a jamais été aussi essentiel. \u003C\u002Fp>\n\u003Cp dir=\"ltr\">Le New Commons Challenge vise à aider les organisations — notamment les start-ups, les associations à but non lucratif, les ONG, les universités, les bibliothèques et les développeurs d'IA — à créer des écosystèmes de données partagées qui améliorent les résultats concrets, de la santé publique aux interventions d'urgence.\u003C\u002Fp>\n\u003Cp dir=\"ltr\">\u003Cstrong>Faire le lien entre la recherche et l’impact sur le terrain\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp dir=\"ltr\">« Le New Commons Challenge vise à mettre les données en pratique », a déclaré Stefaan Verhulst, cofondateur et directeur de la recherche et du développement chez The GovLab. « En favorisant de nouveaux modèles de gestion des données, nous souhaitons soutenir les applications d’IA qui sauvent des vies, renforcent les communautés et améliorent la prise de décision locale là où cela compte le plus. »\u003C\u002Fp>\n\u003Cp dir=\"ltr\">Le Challenge s’appuie sur le récent rapport de l’Open Data Policy Lab, « \u003Cstrong>Blueprint to Unlock New Data Commons for AI\u003C\u002Fstrong> », qui plaide en faveur de la création d’écosystèmes de données gérés de manière collaborative et favorisant un développement responsable de l’IA.\u003C\u002Fp>\n\u003Cp dir=\"ltr\">\u003Cstrong>Fonctionnement du défi\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp dir=\"ltr\">Le défi se déroule en deux phases : \u003Cstrong>Phase 1 : Appel à propositions ouvert (14 avril – 2 juin 2025)\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp dir=\"ltr\">Les innovateurs du monde entier sont invités à soumettre des notes de concept décrivant leurs idées. \u003Cstrong>Deuxième phase : soumission des propositions complètes et évaluation par des experts (juin 2025)\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cul>\n\u003Cli dir=\"ltr\" aria-level=\"1\">\n\u003Cp dir=\"ltr\" role=\"presentation\">Les candidats sélectionnés seront invités à soumettre une proposition complète\u003C\u002Fp>\n\u003C\u002Fli>\n\u003Cli dir=\"ltr\" aria-level=\"1\">\n\u003Cp dir=\"ltr\" role=\"presentation\">Un jury interdisciplinaire évaluera les propositions en fonction de leur impact potentiel, de leur faisabilité et de leur gouvernance éthique.\u003C\u002Fp>\n\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Cp dir=\"ltr\">\u003Cstrong>Annonce des lauréats à la fin de l'été 2025\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp dir=\"ltr\">Les deux projets sélectionnés recevront chacun un financement de 100 000 dollars, ainsi qu'un soutien technique, un accompagnement et une reconnaissance mondiale.\u003C\u002Fp>\n\u003Cp dir=\"ltr\">« L'IA générative ne peut être aussi puissante que les données qui l'alimentent. Microsoft s'engage à promouvoir un accès équitable aux données publiques afin de permettre la mise en place de solutions d'IA performantes et représentatives à l'échelle mondiale », a déclaré Burton Davis, vice-président et directeur juridique adjoint chez Microsoft.\u003C\u002Fp>\n\u003Cp dir=\"ltr\">\u003Cstrong>Une coalition de soutien en pleine expansion\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp dir=\"ltr\">Le défi bénéficie du soutien d’institutions de premier plan engagées en faveur d’une IA éthique et de l’ouverture des données. Parmi les partenaires figurent \u003Cstrong>Direct Relief \u002F CrisisReady,\u003C\u002Fstrong> et \u003Cstrong>la bibliothèque de la faculté de droit de Harvard\u003C\u002Fstrong>, ainsi que \u003Cstrong>l’UNESCO \u003C\u002Fstrong>en tant qu’observateur international, qui apportera son expertise en la matière et son soutien en matière d’évaluation.\u003C\u002Fp>\n\u003Cp dir=\"ltr\">« Nous assistons à une explosion des outils basés sur l’IA pour la réponse aux catastrophes et la résilience climatique », a déclaré \u003Cstrong>Andrew Schroeder, vice-président de la recherche et de l’analyse chez Direct Relief et codirecteur du projet CrisisReady avec la Harvard Data Science Initiative\u003C\u002Fstrong>. « Pour que ces outils apportent un réel bénéfice public, ils nécessitent \u003Cstrong>des ensembles de données diversifiés et de haute qualité\u003C\u002Fstrong>— ce qui est exactement l’objectif du New Commons Challenge. »\u003C\u002Fp>\n\u003Cp dir=\"ltr\">La bibliothèque de la faculté de droit de Harvard \u003Cstrong>Greg Leppert, directeur exécutif de l’Institutional Data Initiative\u003C\u002Fstrong>, a ajouté : « Élargir l’accès aux données est essentiel pour garantir que, à mesure que le potentiel de l’IA se développe, l’humanité tout entière s’en trouve autonomisée. Notre collaboration avec les bibliothèques pour publier de vastes collections de données issues du savoir découle des mêmes principes d’intérêt public qui animent ce Challenge.”\u003C\u002Fp>\n\u003Cp dir=\"ltr\">L’UNESCO \u003Cstrong>Guilherme Canela de Souza Godoi, directeur de la Division de l’inclusion numérique, des politiques et de la transformation numérique\u003C\u002Fstrong>, a souligné les implications plus larges : « Comme nous l’avons souligné dans plusieurs recommandations et lignes directrices multilatérales, l’innovation doit être guidée par des approches éthiques et fondées sur les droits de l’homme. Le New Commons Challenge offre un cadre concret pour montrer comment la collaboration en matière de données peut aligner l’IA sur les besoins de la société.”\u003C\u002Fp>\n\u003Ch3 dir=\"ltr\">Participez au Challenge\u003C\u002Fh3>\n\u003Cp dir=\"ltr\">Le New Commons Challenge est désormais ouvert aux candidatures. Les participants intéressés peuvent trouver plus de détails, y compris les lignes directrices complètes du défi, sur\u003Cstrong> \u003Ca href=\"http:\u002F\u002Fnewcommons.ai\">newcommons.ai\u003C\u002Fa>.\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp dir=\"ltr\">Pour toute question, veuillez contacter : \u003Cstrong>newcommons@opendatapolicylab.org.\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp>\u003Cem>Ce contenu a été traduit automatiquement avec DeepL.\u003C\u002Fem>\u003C\u002Fp>",{},"the-new-commons-challenge-advancing-ai-for-public-good-through-data-commons","fr\u002Fblogposts\u002Fthe-new-commons-challenge-advancing-ai-for-public-good-through-data-commons","L'Open Data Policy Lab, fruit d'une collaboration entre Microsoft et The GovLab, recherche des idées novatrices sur la manière dont les communs de données pourraient être utilisés pour soutenir l'IA dans la prise de décision locale et l'IA générative.","M_GYajCL_LGjOWRvLqwR0ucE7ax9fE0GIafwcjNQtA8",{"id":64,"brow":65,"cover_image":66,"date":67,"excerpt":9,"extension":10,"heading":68,"main_content":69,"meta":70,"slug":71,"stem":72,"tagline":73,"__hash__":74},"blogposts_fr\u002Ffr\u002Fblogposts\u002Flaunch-a-blueprint-to-unlock-new-data-commons-for-artificial-intelligence.json","Nouvelle publication","https:\u002F\u002Fcms.thegovlab.com\u002Fassets\u002F9250c6dd-f1ea-420f-9bb0-cce6a4b619e0","2025-03-11","Lancement : un plan d'action pour créer de nouveaux pools de données communs destinés à l'intelligence artificielle","\u003Cp dir=\"ltr\">Dans le paysage de l'IA en constante évolution d'aujourd'hui, il est essentiel d'élargir l'accès à des données variées et de haute qualité afin de garantir que les applications d'IA puissent servir toutes les communautés de manière équitable. Pourtant, nous sommes au bord d’un «\u003Ca href=\"https:\u002F\u002Fsverhulst.medium.com\u002Fare-we-entering-a-data-winter-f654eb8e8663\">hiver des données\u003C\u002Fa>» potentiel, où des ressources de données précieuses susceptibles de servir l’intérêt général sont de plus en plus verrouillées ou inaccessibles. \u003C\u002Fp>\n\u003Cp dir=\"ltr\">Les communs de données — des écosystèmes gérés de manière collaborative qui permettent le partage responsable d’ensembles de données diversifiés entre les secteurs — offrent une solution prometteuse. En mettant en commun les données selon des normes claires et une gouvernance partagée, les communs de données peuvent libérer le potentiel de l’IA au service de l’intérêt général tout en garantissant que son développement reflète la diversité des expériences et des besoins de la société.\u003C\u002Fp>\n\u003Cp dir=\"ltr\">\u003Cimg style=\"display: block; margin-left: auto; margin-right: auto;\" src=\"https:\u002F\u002Fcms.thegovlab.com\u002Fassets\u002F9cd1ddf9-5a67-402d-b648-8707d130cb39?width=499&height=656\" alt=\"Screenshot 2025 03 11 144711\">\u003C\u002Fp>\n\u003Cp dir=\"ltr\">Afin d’accélérer la création de communs de données, The Open Data Policy publie aujourd’hui «\u003Ca href=\"https:\u002F\u002Fincubator.opendatapolicylab.org\u002Ffiles\u002Fdata-commons-for-ai-blueprint.pdf\">Un plan d’action pour créer de nouveaux biens communs de données pour l’IA\u003C\u002Fa>”—un guide sur la manière de gérer les données afin de créer des biens communs de données permettant des cas d’utilisation de l’IA d’intérêt public. \u003C\u002Fp>\n\u003Cp dir=\"ltr\">Co-rédigé par Hannah Chafetz, Andrew J. Zahuranec et Stefaan Verhulst, ce document vise à aider les bibliothèques, les universités, les centres de recherche et d’autres détenteurs de données (par exemple, les gouvernements et les organisations à but non lucratif) à travers quatre modules :\u003C\u002Fp>\n\u003Cul>\n\u003Cli dir=\"ltr\" aria-level=\"1\">\n\u003Cp dir=\"ltr\" role=\"presentation\">\u003Cstrong>Cartographier l'offre et la demande\u003C\u002Fstrong> : Comprendre pourquoi les systèmes d'IA ont besoin de données, quelles données peuvent être mises à disposition pour former, adapter ou améliorer l'IA, et à quoi pourrait ressembler un prototype viable de communs de données intégrant les besoins et les valeurs des parties prenantes ;\u003C\u002Fp>\n\u003C\u002Fli>\n\u003Cli dir=\"ltr\" aria-level=\"1\">\n\u003Cp dir=\"ltr\" role=\"presentation\">\u003Cstrong>Débloquer la gouvernance participative\u003C\u002Fstrong> : Concevoir conjointement les aspects clés de la plateforme de données partagées avec les principales parties prenantes et consigner ces aspects dans un accord formel ;\u003C\u002Fp>\n\u003C\u002Fli>\n\u003Cli dir=\"ltr\" aria-level=\"1\">\n\u003Cp dir=\"ltr\" role=\"presentation\">\u003Cstrong>Construire le patrimoine commun\u003C\u002Fstrong>: Mettre en place le patrimoine commun de données d'un point de vue pratique et veiller à ce que toutes les parties prenantes soient incitées à le mettre en œuvre ; et\u003C\u002Fp>\n\u003C\u002Fli>\n\u003Cli dir=\"ltr\" aria-level=\"1\">\n\u003Cp dir=\"ltr\" role=\"presentation\">\u003Cstrong>Évaluation et itération\u003C\u002Fstrong>: Évaluer le fonctionnement du patrimoine commun et procéder à des itérations si nécessaire.\u003C\u002Fp>\n\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Cp dir=\"ltr\" style=\"text-align: center;\">\u003Cimg src=\"https:\u002F\u002Fcms.thegovlab.com\u002Fassets\u002F9ba5ed82-8925-4f36-bd94-be90636bbfc4?width=600&height=361\" alt=\"Screenshot 2025 03 11 143319\">\u003C\u002Fp>\n\u003Cp dir=\"ltr\">Ces modules s’appuient en outre sur deux \u003Ca href=\"https:\u002F\u002Fincubator.opendatapolicylab.org\u002Ffiles\u002Fappendix%20b.pdf\">taxonomies supplémentaires\u003C\u002Fa>. La « Taxonomie des types de données » fournit une liste des types de données pouvant s’avérer utiles pour les cas d’utilisation de l’IA générative d’intérêt public. La « Taxonomie des cas d’utilisation » présente les applications d’IA générative d’intérêt public pouvant être développées selon une approche de biens communs de données, ainsi que les résultats possibles et les parties prenantes concernées. \u003C\u002Fp>\n\u003Cp dir=\"ltr\">Un ensemble distinct de \u003Ca href=\"https:\u002F\u002Fincubator.opendatapolicylab.org\u002Ffiles\u002Fappendix%20a_fillable.pdf\">fiches de travail\u003C\u002Fa> peut être utilisé pour guider davantage les organisations dans le déploiement de ces outils.\u003C\u002Fp>\n\u003Cp dir=\"ltr\">Nous espérons que ces ressources constitueront un point de départ utile pour les organisations qui souhaitent exploiter des données pouvant être mises à profit pour l’IA générative au service de l’intérêt général. Ce plan d’action est conçu comme un document évolutif qui sera mis à jour au fil du temps afin de refléter les nouveaux développements et les nouvelles perspectives dans ce domaine en constante évolution.\u003C\u002Fp>\n\u003Cp dir=\"ltr\">N'hésitez pas à nous contacter à l'adresse \u003Ca href=\"mailto:datastewards@thegovlab.org\">datastewards@thegovlab.org\u003C\u002Fa> si vous utilisez l'un de ces documents ou l'un de nos autres \u003Ca href=\"https:\u002F\u002Ftools.opendatapolicylab.org\u002F\">outils\u003C\u002Fa> pour soutenir votre travail ou si vous avez des questions. Vous souhaitez rester informé des prochaines publications ? Inscrivez-vous \u003Ca href=\"https:\u002F\u002Fthegovlab.us6.list-manage.com\u002Fsubscribe?u=1a990feb5c&id=bc6d09925f\">ICI\u003C\u002Fa>.\u003C\u002Fp>\n\u003Cp data-block-key=\"ap6d3\"> \u003C\u002Fp>\n\u003Cp>\u003Cem>Ce contenu a été traduit automatiquement avec DeepL.\u003C\u002Fem>\u003C\u002Fp>",{},"launch-a-blueprint-to-unlock-new-data-commons-for-artificial-intelligence","fr\u002Fblogposts\u002Flaunch-a-blueprint-to-unlock-new-data-commons-for-artificial-intelligence","Afin d'accélérer la création de pools de données communs, The Open Data Policy publie aujourd'hui « A Blueprint to Unlock New Data Commons for AI » (Un plan d'action pour créer de nouveaux pools de données communs destinés à l'IA) — un guide expliquant comment gérer les données afin de créer des pools de données communs permettant des cas d'utilisation de l'IA d'intérêt public. ","K0G2xm-56y0jZnRZULXEtXKKkoQljtpW9_eV1Mzvdjk",{"id":76,"brow":77,"cover_image":78,"date":79,"excerpt":9,"extension":10,"heading":80,"main_content":81,"meta":82,"slug":83,"stem":84,"tagline":85,"__hash__":86},"blogposts\u002Fblogposts\u002Fnavigating-indigenous-data-sovereignty-in-the-age-of-ai.json","Blog","https:\u002F\u002Fcms.thegovlab.com\u002Fassets\u002Fcbd53c8d-17bd-47ee-8b96-52493aad3237","2026-09-01","Navigating Indigenous Data Sovereignty in the Age of AI","\u003Cp>\u003Cem>By Stefaan Verhulst, Jordan Harris, Andrew J. Zahuranec, Maui Hudson, Chantal Kamgne, and WarīNkwī Flores\u003C\u002Fem>\u003C\u002Fp>\n\u003Cp dir=\"ltr\">Indigenous communities face two related threats from AI: marginalization from digital advancement and extraction of their cultural knowledge and language without consent or benefit. One way to address these challenges is to create pathways for Indigenous communities to exercise meaningful control over how their data is collected, governed, and used.\u003C\u002Fp>\n\u003Cp dir=\"ltr\">Ahead of the International Day of the World’s Indigenous Peoples, The GovLab hosted a webinar featuring Indigenous experts \u003Ca href=\"https:\u002F\u002Fwww.linkedin.com\u002Fin\u002Fchantalkamgne\u002F\">Chantal Kamgne\u003C\u002Fa> (Localizzz \u002F EngageAfricaNLP), \u003Ca href=\"https:\u002F\u002Findigenousdatalab.org\u002Fteam-member-nkwi-flores\u002F\">WarīNkwī Flores\u003C\u002Fa> (\u003Ca href=\"https:\u002F\u002Fwww.kin-ray-hub.com\u002F\">Kinray Hub\u003C\u002Fa> \u002F Kara::Kichwa), and \u003Ca href=\"https:\u002F\u002Fprofiles.waikato.ac.nz\u002Fmaui.hudson\">Maui Hudson\u003C\u002Fa> (Te Kotahi Research Institute \u002F Local Contexts) to explore how data commons can offer a middle path toward true data self-determination. The webinar was moderated by \u003Ca href=\"https:\u002F\u002Fwww.linkedin.com\u002Fin\u002Fstefaan-verhulst\">Stefaan Verhulst\u003C\u002Fa> (The GovLab), and Guilherme Canela de Souza Godoi (UNESCO) provided closing remarks.\u003C\u002Fp>\n\u003Cp dir=\"ltr\">Three major themes emerged from that discussion, which we detail below: the ability of data commons to serve as a tool for self-determination; how there can be one-size-fits-all solution to governance because such arrangements become a power instrument of top-down pressure; and the need for large institutions to “walk the talk” when it comes to supporting Indigenous communities to take control of their data.\u003C\u002Fp>\n\u003Cp dir=\"ltr\">\u003Ciframe title=\"YouTube video player\" src=\"https:\u002F\u002Fwww.youtube.com\u002Fembed\u002FHurkmwPtdf0?si=4Xl9G8ncO9KTONtL\" width=\"560\" height=\"315\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" allowfullscreen=\"allowfullscreen\">\u003C\u002Fiframe>\u003C\u002Fp>\n\u003Ch3 dir=\"ltr\">Beyond the Binary: Data Commons as a Tool for Self-Determination \u003C\u002Fh3>\n\u003Cp dir=\"ltr\">Steward Data Common Ecosystems—collaboratively governed ecosystems that pool responsible and ethical data access for the public good—offer a viable alternative to extractive “open” data practices. \u003C\u002Fp>\n\u003Cp dir=\"ltr\">This idea was highlighted through several key exchanges about data ownership and community partnership design. Panelist WarīNkwī Flores emphasized that \"data\" itself is often a contested concept. For many Andean and Amazonian biocultural communities, it represents living ways of being, ways of doing, ways of knowing, ways of not knowing, and embodied biocultural practices rather than numerical variables and mere FPIC checkboxes.\u003C\u002Fp>\n\u003Cp dir=\"ltr\">Without intentional governance, AI risks repeating historical patterns of apartheid engagement in which communities are invited as cultural symbols rather than equity shareholder negotiators. Because AI only accesses what is already digitized, bridging the digital divide requires operationalizing community autonomy’s rule of law—including the choice of voluntarily isolated populations who may not want digital transformation intervention at all.\u003C\u002Fp>\n\u003Cp dir=\"ltr\">This also means resisting the tendency to make technology solutionism the starting point. As Maui Hudson emphasized, the goal should not be to assemble Indigenous language resources for AI, but to strengthen those resources for Indigenous communities themselves. AI may be a useful tool toward that end, but it should follow community priorities rather than define them.\u003C\u002Fp>\n\u003Cp>\u003Cstrong> \u003C\u002Fstrong>\u003C\u002Fp>\n\u003Ch3 dir=\"ltr\">Toolboxes Over One-Size-Fits-All Governance \u003C\u002Fh3>\n\u003Cp dir=\"ltr\">There is no single legal framework that fits every territory. Throughout the discussion, panelists advocated for a \"toolbox approach,\" combining global instruments such as \u003Ca href=\"https:\u002F\u002Fwww.un.org\u002Fdevelopment\u002Fdesa\u002Findigenouspeoples\u002Fwp-content\u002Fuploads\u002Fsites\u002F19\u002F2018\u002F11\u002FUNDRIP_E_web.pdf\">UNDRIP\u003C\u002Fa>, \u003Ca href=\"https:\u002F\u002Fieeexplore.ieee.org\u002Fdocument\u002F11302960\">IEEE std 2890-2025\u003C\u002Fa>, and renewing the attention of \u003Ca href=\"https:\u002F\u002Fwww.gida-global.org\u002Fcareprinciples\">CARE Principles\u003C\u002Fa> (Collective Benefit, Authority to Control, Responsibility, Ethics) to redirect data actors to territorial data governance with practical tools such as \u003Ca href=\"https:\u002F\u002Flocalcontexts.org\u002Flabels\u002Ftraditional-knowledge-labels\u002F\">Traditional Knowledge (TK) Labels\u003C\u002Fa> developed by Local Contexts, \u003Ca href=\"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.cosust.2026.101661\">Kara::Kichwa Data Sovereignty\u003C\u002Fa>, \u003Ca href=\"https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.18675312\">Sovereign Data Supply Chain\u003C\u002Fa>, and \u003Ca href=\"https:\u002F\u002Fzenodo.org\u002Frecords\u002F21865509\">Place-based Relational Infrastructure - Automatization of FPIC\u003C\u002Fa> by Kinray Hub and Partners.\u003C\u002Fp>\n\u003Cp dir=\"ltr\">Key practical takeaways included:\u003C\u002Fp>\n\u003Cul>\n\u003Cli dir=\"ltr\" aria-level=\"1\">\n\u003Cp dir=\"ltr\" role=\"presentation\">\u003Cstrong>Platform Fine Print\u003C\u002Fstrong>: Standard commercial platforms frequently claim ownership over uploaded data in their terms of service, requiring communities to carefully select hosting environments.\u003C\u002Fp>\n\u003C\u002Fli>\n\u003Cli dir=\"ltr\" aria-level=\"1\">\n\u003Cp dir=\"ltr\" role=\"presentation\">\u003Cstrong>BioKultural Impact Assessment (BKIA):\u003C\u002Fstrong> Frameworks like those created by \u003Ca href=\"https:\u002F\u002Fwww.kin-ray-hub.com\u002F\">Kinray Hub\u003C\u002Fa> allow communities to assess their own readiness, priorities, and governance rules before formal \u003Ca href=\"https:\u002F\u002Fwww.un.org\u002Fdevelopment\u002Fdesa\u002Findigenouspeoples\u002Fpublications\u002F2016\u002F10\u002Ffree-prior-and-informed-consent-an-indigenous-peoples-right-and-a-good-practice-for-local-communities-fao\u002F\">Free, Prior, and Informed Consent\u003C\u002Fa> (FPIC) processes.\u003C\u002Fp>\n\u003C\u002Fli>\n\u003Cli dir=\"ltr\" aria-level=\"1\">\n\u003Cp dir=\"ltr\" role=\"presentation\">\u003Cstrong>Community-Defined Priorities: \u003C\u002Fstrong>As Chantal Kamgne noted using Cameroonian language examples, projects must solve immediate local needs—such as accessing emergency services or restoring traditional land management—rather than satisfying external tech metrics.\u003C\u002Fp>\n\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Cp>\u003Cstrong> \u003C\u002Fstrong>\u003C\u002Fp>\n\u003Ch3 dir=\"ltr\">Walking the Talk: The New Commons Incubator \u003C\u002Fh3>\n\u003Cp dir=\"ltr\">Closing remarks from \u003Ca href=\"https:\u002F\u002Fwww.unesco.org\u002Fen\">UNESCO\u003C\u002Fa>’s Guilherme Canela highlighted how AI has forced the convergence of multilingualism, open solutions, and data governance. Aligned with \u003Ca href=\"https:\u002F\u002Fwww.unesco.org\u002Fen\u002Fdecades\u002Findigenous-languages\">the International Decade of Indigenous Languages\u003C\u002Fa>, the New Commons Incubator aims to translate these theoretical rights into concrete proposals by supporting Indigenous-led teams in building fundable, community-governed data platforms.\u003C\u002Fp>\n\u003Cp dir=\"ltr\">***\u003C\u002Fp>\n\u003Cp dir=\"ltr\">Data sovereignty is ultimately a practice, not just a legal status. Exercising it requires communities to have the capacity, institutions, tools, and agency to determine how, and whether, their data is used. By building local technical capacity and supporting translational leaders, the \u003Ca href=\"https:\u002F\u002Fnewcommons.ai\u002F\">New Commons Incubator\u003C\u002Fa> aims to help turn formal rights into practical authority over communities’ digital futures.\u003C\u002Fp>\n\u003Cp dir=\"ltr\">If this work interests or inspires you, please feel free to contact us at \u003Ca href=\"mailto:newcommons@opendatapolicylab.org\">newcommons@opendatapolicylab.org\u003C\u002Fa> and let us know.\u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>",{},"navigating-indigenous-data-sovereignty-in-the-age-of-ai","blogposts\u002Fnavigating-indigenous-data-sovereignty-in-the-age-of-ai","A discussion with members of our Indigenous Steering Committee","SYirJOPz7OVodrTsaLRDTKb4RhMTzPaG0KtANsQ5Eb4",{"id":88,"brow":89,"cover_image":90,"date":91,"excerpt":9,"extension":10,"heading":92,"main_content":93,"meta":94,"slug":95,"stem":96,"tagline":97,"__hash__":98},"blogposts\u002Fblogposts\u002Fidentifying-a-global-demand-inside-the-applications-to-our-indigenous-languages-incubator.json","Incubator Update","https:\u002F\u002Fcms.thegovlab.com\u002Fassets\u002F15cf29ea-8989-4d2e-9b6d-fa1e61960624","2026-08-28","Identifying A Global Demand: Inside the Applications to our Indigenous Languages Incubator","\u003Cp dir=\"ltr\">\u003Cem>by Stefaan Verhulst, Sruthi Raghavan, and Andrew J. Zahuranec\u003C\u002Fem>\u003C\u002Fp>\n\u003Cp dir=\"ltr\">When we opened applications for the inaugural \u003Ca href=\"https:\u002F\u002Fnewcommons.ai\u002F\">New Commons Incubator for Indigenous Languages and Cultures\u003C\u002Fa> on 19 June 2026, we hoped to reach Indigenous-led teams working to develop data commons for their languages and cultures in the age of AI. By the time the call closed on 14 August, the response had exceeded our expectations, both in volume and in geographic reach.\u003C\u002Fp>\n\u003Cp dir=\"ltr\">Here is what the applications told us.\u003C\u002Fp>\n\u003Ch3 dir=\"ltr\">The headline numbers\u003C\u002Fh3>\n\u003Cp dir=\"ltr\">We received 180 form submissions in total. After removing duplicates and incomplete entries, that left approximately 155 unique, form-complete submissions—a strong signal of serious, considered interest from teams around the world.\u003C\u002Fp>\n\u003Ccenter>\n\u003Cp dir=\"ltr\">\u003Cimg src=\"https:\u002F\u002Fcms.thegovlab.com\u002Fassets\u002F192ddaba-96af-4f8c-9b52-a97b0f02bbdb.png?width=630&height=402\" alt=\"Summary of Application Volume\">\u003C\u002Fp>\n\u003C\u002Fcenter>\n\u003Ch3 dir=\"ltr\">A truly global call\u003C\u002Fh3>\n\u003Cp dir=\"ltr\">Concept notes referenced 55 different countries, underscoring just how widely the challenge of Indigenous language stewardship is felt. India led the way with 15 mentions, followed closely by Nigeria with 13. Bangladesh, Canada, and Kenya rounded out the top five.\u003C\u002Fp>\n\u003Ccenter>\n\u003Cp dir=\"ltr\">\u003Cimg src=\"https:\u002F\u002Fcms.thegovlab.com\u002Fassets\u002F173155cd-148c-45a5-a830-44e761e4a0bc.png?width=591&height=398\" alt=\"Screenshot 2026 08 28 113445\">\u003C\u002Fp>\n\u003Cp dir=\"ltr\">\u003Cimg src=\"https:\u002F\u002Fcms.thegovlab.com\u002Fassets\u002F405ae92e-c13f-4723-86ad-297e32337ad2.png?width=590&height=365\" alt=\"Top 10 Country Mentions\">\u003C\u002Fp>\n\u003C\u002Fcenter>\n\u003Ch3 dir=\"ltr\">Who applied\u003C\u002Fh3>\n\u003Cp dir=\"ltr\">The call drew a diverse mix of applicants, but it was clearly anchored by the communities at the heart of this work. Indigenous organisations were the single largest group with 42 applications, followed closely by NGOs and non-profits (39) and universities and research institutes (24). Private companies, start-ups, and independent applicants also featured strongly, alongside a smaller number of government bodies, media organisations, and intergovernmental entities.\u003C\u002Fp>\n\u003Ccenter>\n\u003Cp dir=\"ltr\">\u003Cimg src=\"https:\u002F\u002Fcms.thegovlab.com\u002Fassets\u002Ff5b3a3c4-2365-42d1-94c0-80c415ffbd3b.png?width=625&height=378\" alt=\"Applicant Type\">\u003C\u002Fp>\n\u003C\u002Fcenter>\n\u003Cp dir=\"ltr\">The applicant pool included established Indigenous institutions as well as grassroots and diaspora-led initiatives. \u003C\u002Fp>\n\u003Ch3 dir=\"ltr\">What they want to build\u003C\u002Fh3>\n\u003Cp dir=\"ltr\">Across the concept notes, language revitalization and preservation was by far the most common theme, appearing in 86 mentions — nearly triple the next most frequent topic. Cultural practices (34), folklore (30), speech and voice recognition technology (29), and education (29) followed. The spread shows applicants think about language not in isolation, but woven together with culture, technology, and knowledge transmission.\u003C\u002Fp>\n\u003Ccenter>\n\u003Cp dir=\"ltr\">\u003Cimg src=\"https:\u002F\u002Fcms.thegovlab.com\u002Fassets\u002F960124e8-c321-42c9-9a3e-0b95760f72a3.png?width=597&height=513\" alt=\"Commons Topics Mentioned in Concept Notes\">\u003C\u002Fp>\n\u003C\u002Fcenter>\n\u003Ch3 dir=\"ltr\">Patterns of Demand \u003C\u002Fh3>\n\u003Cp dir=\"ltr\">A few patterns emerged in how different regions framed their work:\u003C\u002Fp>\n\u003Cul>\n\u003Cli dir=\"ltr\" aria-level=\"1\">\n\u003Cp dir=\"ltr\" role=\"presentation\">Sub-Saharan Africa: Applications from across Sub-Saharan Africa often had a strong emphasis on ecological and environmental knowledge tied to language.\u003C\u002Fp>\n\u003C\u002Fli>\n\u003Cli dir=\"ltr\" aria-level=\"1\">\n\u003Cp dir=\"ltr\" role=\"presentation\">Latin America: Many proposals emerging from Latin America focused almost exclusively on language itself—touching on topics such as translation or transcription.\u003C\u002Fp>\n\u003C\u002Fli>\n\u003Cli dir=\"ltr\" aria-level=\"1\">\n\u003Cp dir=\"ltr\" role=\"presentation\">Diaspora-led groups: Several applications came from communities working outside their homelands. For example, we received applications from several groups who come from Russia but are now based in Georgia, the United States, and France.\u003C\u002Fp>\n\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Cp>\u003Cstrong>The Takeaway: \u003C\u002Fstrong>Overwhelming demand, and strong signals of genuine interest in this work. With a limited number of intensive cohort slots, we are actively exploring pathways to connect all applicants to some form of support — not only the teams we can host directly.\u003C\u002Fp>\n\u003Ch3 dir=\"ltr\">What happens next\u003C\u002Fh3>\n\u003Cp dir=\"ltr\">Cohort selection is underway. We have let applicants know that final decisions will be communicated by mid-October at the latest, with the program kicking off shortly after. As we work through the next steps, we are also asking our steering committee and community how best to proceed given the scale of interest — so that the enthusiasm reflected in these numbers translates into lasting impact.\u003C\u002Fp>\n\u003Cp dir=\"ltr\">To everyone who applied: thank you. The breadth and depth of these applications is the clearest sign yet that a community-governed approach to Indigenous language data is not just needed, but wanted.\u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>\n\u003Cp>\u003Cem>Figures reflect applications received during the open call (19 June – 14 August 2026). Country and topic counts are based on references within submitted concept notes; a single application may reference more than one country or theme. The regional-grouping and thematic-focus charts are illustrative summaries of concept-note content. Applicant-type and topic figures are drawn from the program's own application review. The New Commons Incubator is led by the Open Data Policy Lab at The GovLab.\u003C\u002Fem>\u003C\u002Fp>\n\u003Cp>\u003Cem>Photo Credit:  \u003C\u002Fem>Nick Kwan\u002FUnsplash, licensed under CC0, photo of Bill Reid's \"The Raven and the First Men\"  (1980)\u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>",{},"identifying-a-global-demand-inside-the-applications-to-our-indigenous-languages-incubator","blogposts\u002Fidentifying-a-global-demand-inside-the-applications-to-our-indigenous-languages-incubator","A first look at who applied to the New Commons Incubator — and the demand it revealed","qDdTdKov3xXhz8lkiXDBCI9cd_w9J0I_icnNYCfMvNg",{"id":100,"brow":101,"cover_image":102,"date":103,"excerpt":9,"extension":10,"heading":104,"main_content":105,"meta":106,"slug":107,"stem":108,"tagline":9,"__hash__":109},"blogposts\u002Fblogposts\u002Fnew-commons-incubator-webinar-data-commons-to-support-indigenous-languages-and-cultures.json","Event","https:\u002F\u002Fcms.thegovlab.com\u002Fassets\u002F3bc8927c-1c08-4144-9272-bb03b9b9c517","2026-07-17","New Commons Incubator Webinar: Data Commons to Support Indigenous Languages and Cultures","\u003Cp dir=\"ltr\">What approaches can we adopt to ensure Indigenous communities control data about their language and culture? How do data commons represent one promising approach to this issue?\u003C\u002Fp>\n\u003Cp dir=\"ltr\">On 6 August at 11:00 AM EST \u002F 5:00 PM CET, in advance of the International Day of World’s Indigenous Peoples, The GovLab, Microsoft, and UNESCO will be hosting a webinar conversation on these topics. \u003C\u002Fp>\n\u003Cp dir=\"ltr\">The conversation will serve as both an opportunity to learn about current efforts being pursued by leading experts in the field of Indigenous data and to better understand the \u003Ca href=\"https:\u002F\u002Fnewcommons.ai\u002F\">New Commons Incubator\u003C\u002Fa>—a capacity-building program that aims to help Indigenous-led teams develop their ideas for data commons projects into fundable proposals. \u003C\u002Fp>\n\u003Cp dir=\"ltr\">The discussion, facilitated by The GovLab’s Stefaan Verhulst, will include members of the New \u003Ca href=\"https:\u002F\u002Fnewcommons.ai\u002Findigenous-languages\">Commons Incubator’s Steering Committee\u003C\u002Fa>, a group of Indigenous experts selected to ensure the work of the Incubator is productive and complementary to existing Indigenous-led work. They include:\u003C\u002Fp>\n\u003Cul>\n\u003Cli dir=\"ltr\" aria-level=\"1\">\n\u003Cp dir=\"ltr\" role=\"presentation\">\u003Ca href=\"http:\u002F\u002Flinkedin.com\u002Fin\u002Fchantalkamgne\">Chantal Kamgne\u003C\u002Fa>, Managing Director of Localizzz and Head of Research of EngageAfricaNLP\u003C\u002Fp>\n\u003C\u002Fli>\n\u003Cli dir=\"ltr\" aria-level=\"1\">\n\u003Cp dir=\"ltr\" role=\"presentation\">\u003Ca href=\"https:\u002F\u002Fsnre.arizona.edu\u002Fperson\u002Fnkwi-flores\">WarīNkwī Flores\u003C\u002Fa>, Founder and Translational Consultant, Kinray Hub\u003C\u002Fp>\n\u003C\u002Fli>\n\u003Cli dir=\"ltr\" aria-level=\"1\">\n\u003Cp dir=\"ltr\" role=\"presentation\">\u003Ca href=\"https:\u002F\u002Fprofiles.waikato.ac.nz\u002Fmaui.hudson\">Maui Hudson\u003C\u002Fa>, Director, Te Kotahi Research Institute, Office of Deputy Vice-Chancellor Maori\u003C\u002Fp>\n\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Cp>It will be preceded by a set of opening remarks from UNESCO’s Director of the Division for Digital Inclusion, Policies and Transformation, Guilherme Canela de Souza Godoi.\u003C\u002Fp>\n\u003Cp dir=\"ltr\">Don’t miss this exciting conversation and a chance to learn from leaders from around the world about topics such as the CARE Principles, Indigenous data sovereignty, and social licenses. Registration can be found \u003Ca href=\"https:\u002F\u002Fus02web.zoom.us\u002Fwebinar\u002Fregister\u002FWN_QKWWrDuLQrShi4C5uJGIVA#\u002F\">here\u003C\u002Fa>.\u003C\u002Fp>\n\u003Cp dir=\"ltr\">Learn more about the New Commons Incubator \u003Ca href=\"https:\u002F\u002Fnewcommons.ai\u002F\">here\u003C\u002Fa>.\u003C\u002Fp>",{},"new-commons-incubator-webinar-data-commons-to-support-indigenous-languages-and-cultures","blogposts\u002Fnew-commons-incubator-webinar-data-commons-to-support-indigenous-languages-and-cultures","3yk2XsRLMOnWav3lOFsTPd-YULBnuIABtvBnlnrmFsE",{"id":111,"brow":77,"cover_image":112,"date":113,"excerpt":9,"extension":10,"heading":114,"main_content":115,"meta":116,"slug":117,"stem":118,"tagline":9,"__hash__":119},"blogposts\u002Fblogposts\u002Fwhat-our-repository-reveals-about-data-commons-in-the-ai-era.json","https:\u002F\u002Fcms.thegovlab.com\u002Fassets\u002Fdb3280ca-e3c3-4667-8b31-08575df08e78","2026-07-13","What Our Repository Reveals About Data Commons in the AI Era","\u003Cp id=\"docs-internal-guid-bffbb4fc-7fff-446e-a989-6916c8e4ac8f\" dir=\"ltr\" style=\"line-height: 1.38; margin-top: 12pt; margin-bottom: 12pt;\">\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Over the last several months, The Open Data Policy Lab conducted an in-depth review of how the data commons gathered within our \u003C\u002Fspan>\u003Ca style=\"text-decoration: none;\" href=\"https:\u002F\u002Fdocs.google.com\u002Fspreadsheets\u002Fd\u002F1GPzU4Pspi-XOmJU13LvOUUPxtfTuRXcZMBw7lxkQRyY\u002Fedit?gid=0#gid=0\">\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #1155cc; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: underline; -webkit-text-decoration-skip: none; text-decoration-skip-ink: none; vertical-align: baseline; white-space: pre-wrap;\">Data Commons for Generative AI repository \u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">align with the \u003C\u002Fspan>\u003Ca style=\"text-decoration: none;\" href=\"https:\u002F\u002Fopendatapolicylab.org\u002Farticles\u002Fdefining-data-commons\u002F\">\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #1155cc; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: underline; -webkit-text-decoration-skip: none; text-decoration-skip-ink: none; vertical-align: baseline; white-space: pre-wrap;\">six elements of our data commons assessment framework\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">: Public Purpose, Contributor Benefits, Funding and Support, Access Controls, Participatory Governance, and Accountability Mechanisms. \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp dir=\"ltr\" style=\"line-height: 1.38; margin-top: 12pt; margin-bottom: 12pt;\">\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">The review revealed both patterns and variation. Many initiatives articulate a public purpose, offer benefits to contributors, identify funding or support, and define access conditions. Participatory governance and accountability mechanisms varied more widely and often marked the clearest distinctions between data commons and adjacent models such as open data platforms, data cooperatives, and AI data pools.\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp dir=\"ltr\" style=\"line-height: 1.38; margin-top: 12pt; margin-bottom: 12pt;\">\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Our review highlighted that data commons take many institutional forms, including scientific research infrastructures, health data collaboratives, cultural and linguistic preservation efforts, industrial data spaces, and community-owned initiatives. Some operate globally or nationally, while others focus on specific sectors, communities, or local challenges.\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp dir=\"ltr\" style=\"line-height: 1.38; margin-top: 12pt; margin-bottom: 12pt;\">\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">In the sections that follow, we examine what the repository reveals through each element of our framework, offering a snapshot of how organizations across sectors are attempting to build, govern, and sustain shared data resources in an era shaped by data-intensive technologies and artificial intelligence.\u003C\u002Fspan>\u003C\u002Fp>\n\u003Ch1 dir=\"ltr\" style=\"line-height: 1.38; margin-top: 14pt; margin-bottom: 6pt;\">\u003Cspan style=\"font-size: 15pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Key Findings Across Our Six Elements of Data Commons \u003C\u002Fspan>\u003C\u002Fh1>\n\u003Ch2 dir=\"ltr\" style=\"line-height: 1.38; margin-top: 18pt; margin-bottom: 6pt;\">\u003Cspan style=\"font-size: 13.999999999999998pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Public Purpose\u003C\u002Fspan>\u003C\u002Fh2>\n\u003Cp dir=\"ltr\" style=\"line-height: 1.38; margin-top: 12pt; margin-bottom: 12pt;\">\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Public purpose generally refers to the commitment to transform data into a shared resource in the public’s interest. The initiatives in our repository formalized this commitment through missions, governance structures, or stewardship arrangements designed to align data use with broader societal goals. \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp dir=\"ltr\" style=\"line-height: 1.38; margin-top: 12pt; margin-bottom: 12pt;\">\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Several initiatives in our repository focus on scientific and clinical advancement. Initiatives such as \u003C\u002Fspan>\u003Ca style=\"text-decoration: none;\" href=\"https:\u002F\u002Fdata.midrc.org\u002F\">\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #1155cc; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: underline; -webkit-text-decoration-skip: none; text-decoration-skip-ink: none; vertical-align: baseline; white-space: pre-wrap;\">MIDRC\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">, the \u003C\u002Fspan>\u003Ca style=\"text-decoration: none;\" href=\"https:\u002F\u002Fdatacommons.cancer.gov\u002F\">\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #1155cc; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: underline; -webkit-text-decoration-skip: none; text-decoration-skip-ink: none; vertical-align: baseline; white-space: pre-wrap;\">NCI Cancer Research Data Commons\u003C\u002Fspan>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #1155cc; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: underline; -webkit-text-decoration-skip: none; text-decoration-skip-ink: none; vertical-align: baseline; white-space: pre-wrap;\">,\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\"> \u003C\u002Fspan>\u003Ca style=\"text-decoration: none;\" href=\"https:\u002F\u002Fwww.insight.hdrhub.org\u002Fabout-insight\">\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #1155cc; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: underline; -webkit-text-decoration-skip: none; text-decoration-skip-ink: none; vertical-align: baseline; white-space: pre-wrap;\">INSIGHT\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">, and \u003C\u002Fspan>\u003Ca style=\"text-decoration: none;\" href=\"https:\u002F\u002Fdatahub.aida.scilifelab.se\u002Fabout\u002F\">\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #1155cc; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: underline; -webkit-text-decoration-skip: none; text-decoration-skip-ink: none; vertical-align: baseline; white-space: pre-wrap;\">AIDA Data Hub\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\"> seek to improve disease detection, diagnosis, treatment, and care delivery by enabling researchers to access high-quality datasets that would otherwise remain siloed within individual hospitals, laboratories, or research institutions. In these cases, public purpose is closely tied to patient benefit, improved health outcomes, and the responsible reuse of sensitive biomedical data.\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp dir=\"ltr\" style=\"line-height: 1.38; margin-top: 12pt; margin-bottom: 12pt;\">\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Many initiatives identified seek to improve public-interest AI innovation, fairness, and inclusion. \u003C\u002Fspan>\u003Ca style=\"text-decoration: none;\" href=\"https:\u002F\u002Fmlcommons.org\u002Fdatasets\u002F\">\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #1155cc; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: underline; -webkit-text-decoration-skip: none; text-decoration-skip-ink: none; vertical-align: baseline; white-space: pre-wrap;\">MLCommons\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">, \u003C\u002Fspan>\u003Ca style=\"text-decoration: none;\" href=\"https:\u002F\u002Fcommonvoice.mozilla.org\u002Fen\">\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #1155cc; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: underline; -webkit-text-decoration-skip: none; text-decoration-skip-ink: none; vertical-align: baseline; white-space: pre-wrap;\">Common Voice\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">, \u003C\u002Fspan>\u003Ca style=\"text-decoration: none;\" href=\"https:\u002F\u002Fresearch.google\u002Fblog\u002Fwaxal-a-large-scale-open-resource-for-african-language-speech-technology\u002F\">\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #1155cc; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: underline; -webkit-text-decoration-skip: none; text-decoration-skip-ink: none; vertical-align: baseline; white-space: pre-wrap;\">WAXAL\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">, and the \u003C\u002Fspan>\u003Ca style=\"text-decoration: none;\" href=\"https:\u002F\u002Fwww.newcommons.ai\u002Fwinners\u002Fmalawi-voice-data-commons\">\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #1155cc; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: underline; -webkit-text-decoration-skip: none; text-decoration-skip-ink: none; vertical-align: baseline; white-space: pre-wrap;\">Malawi Voice Data Commons\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\"> seek to expand access to representative, high-quality data so that AI development does not systematically exclude underrepresented languages, regions, or communities.\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp dir=\"ltr\" style=\"line-height: 1.38; margin-top: 12pt; margin-bottom: 12pt;\">\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Others \u003C\u002Fspan>\u003Ca style=\"text-decoration: none;\" href=\"http:\u002F\u002Fmedium.com\u002Fdata-stewards-network\u002F10-data-commons-for-cultural-knowledge-and-preservation-e0b4d3f33402\">\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #1155cc; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: underline; -webkit-text-decoration-skip: none; text-decoration-skip-ink: none; vertical-align: baseline; white-space: pre-wrap;\">aim to support\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\"> cultural and linguistic preservation and revitalization. The \u003C\u002Fspan>\u003Ca style=\"text-decoration: none;\" href=\"https:\u002F\u002Fwww.ldaca.edu.au\u002F\">\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #1155cc; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: underline; -webkit-text-decoration-skip: none; text-decoration-skip-ink: none; vertical-align: baseline; white-space: pre-wrap;\">Language Data Commons of Australia\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">, \u003C\u002Fspan>\u003Ca style=\"text-decoration: none;\" href=\"https:\u002F\u002Fwww.clarin.eu\u002F\">\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #1155cc; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: underline; -webkit-text-decoration-skip: none; text-decoration-skip-ink: none; vertical-align: baseline; white-space: pre-wrap;\">CLARIN\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">, \u003C\u002Fspan>\u003Ca style=\"text-decoration: none;\" href=\"https:\u002F\u002Fopenheritage3d.org\u002Fabout\">\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #1155cc; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: underline; -webkit-text-decoration-skip: none; text-decoration-skip-ink: none; vertical-align: baseline; white-space: pre-wrap;\">Open Heritage\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">, \u003C\u002Fspan>\u003Ca style=\"text-decoration: none;\" href=\"https:\u002F\u002Fwww.kbr.be\u002Fen\u002Fprojects\u002Fmetabelgica\u002F\">\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #1155cc; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: underline; -webkit-text-decoration-skip: none; text-decoration-skip-ink: none; vertical-align: baseline; white-space: pre-wrap;\">MetaBelgica\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">, and the \u003C\u002Fspan>\u003Ca style=\"text-decoration: none;\" href=\"https:\u002F\u002Fwww.dataspace-culturalheritage.eu\u002Fen#about-the-data-space\">\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #1155cc; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: underline; -webkit-text-decoration-skip: none; text-decoration-skip-ink: none; vertical-align: baseline; white-space: pre-wrap;\">Common European Data Space for Cultural Heritage\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\"> treat data as a vehicle for preserving cultural memory, linguistic diversity, and shared knowledge. These initiatives emphasize long-term stewardship, responsible access, cultural authority, and the preservation of resources that might otherwise disappear.\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp dir=\"ltr\" style=\"line-height: 1.38; margin-top: 12pt; margin-bottom: 12pt;\">\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">We also identified initiatives that pursue public purpose through democratic values, environmental resilience, and community self-determination. For example, the \u003C\u002Fspan>\u003Ca style=\"text-decoration: none;\" href=\"https:\u002F\u002Fpublicinterestcorpus.org\u002F\">\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #1155cc; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: underline; -webkit-text-decoration-skip: none; text-decoration-skip-ink: none; vertical-align: baseline; white-space: pre-wrap;\">Public Interest Corpus\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\"> seeks to support public-interest AI research and a more informed knowledge ecosystem. \u003C\u002Fspan>\u003Ca style=\"text-decoration: none;\" href=\"https:\u002F\u002Fposmo.coop\u002F\">\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #1155cc; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: underline; -webkit-text-decoration-skip: none; text-decoration-skip-ink: none; vertical-align: baseline; white-space: pre-wrap;\">Posmo\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\"> advances informational self-determination by giving mobility-data contributors greater control over how their data is used. \u003C\u002Fspan>\u003Ca style=\"text-decoration: none;\" href=\"http:\u002F\u002Fgainforest.earth\">\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #1155cc; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: underline; -webkit-text-decoration-skip: none; text-decoration-skip-ink: none; vertical-align: baseline; white-space: pre-wrap;\">GainForest.Earth\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\"> supports local and Indigenous communities in collecting and governing biodiversity and environmental data. Sectoral commons such as \u003C\u002Fspan>\u003Ca style=\"text-decoration: none;\" href=\"https:\u002F\u002Fcatena-x.net\u002F\">\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #1155cc; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: underline; -webkit-text-decoration-skip: none; text-decoration-skip-ink: none; vertical-align: baseline; white-space: pre-wrap;\">Catena-X\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\"> and the \u003C\u002Fspan>\u003Ca style=\"text-decoration: none;\" href=\"https:\u002F\u002Fmobility-dataspace.eu\u002F\">\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #1155cc; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: underline; -webkit-text-decoration-skip: none; text-decoration-skip-ink: none; vertical-align: baseline; white-space: pre-wrap;\">Mobility Data Space\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\"> pursue public value through industry-wide coordination, sustainability, interoperability, and supply-chain transparency.\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp dir=\"ltr\" style=\"line-height: 1.38; margin-top: 12pt; margin-bottom: 12pt;\">\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">The repository shows that public purpose is not a single objective but a spectrum of social commitments. Some initiatives define the public in broad societal terms, while others focus on specific communities, sectors, or domains. \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>\n\u003Ch2 dir=\"ltr\" style=\"line-height: 1.38; margin-top: 18pt; margin-bottom: 6pt;\">\u003Cspan style=\"font-size: 13.999999999999998pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Contributor Benefits\u003C\u002Fspan>\u003C\u002Fh2>\n\u003Cp dir=\"ltr\" style=\"line-height: 1.38; margin-top: 12pt; margin-bottom: 12pt;\">\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Throughout the repository, contributors are treated as stakeholders whose continued participation depends on tangible value. Like public purpose, contributor benefits appear in nearly all initiatives in the repository. The few exceptions are typically initiatives in development, where benefits are anticipated but not yet fully operationalized.\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp dir=\"ltr\" style=\"line-height: 1.38; margin-top: 12pt; margin-bottom: 12pt;\">\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">The most prevalent contributor benefit is visibility and academic credit. Initiatives such as \u003C\u002Fspan>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">AIDA Data Hub\u003C\u002Fspan>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\"> make datasets more FAIR and citable by \u003C\u002Fspan>\u003Ca style=\"text-decoration: none;\" href=\"https:\u002F\u002Fdatahub.aida.scilifelab.se\u002Fservices\u002Fdata-sharing\u002F\">\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #1155cc; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: underline; -webkit-text-decoration-skip: none; text-decoration-skip-ink: none; vertical-align: baseline; white-space: pre-wrap;\">assigning Digital Object Identifiers\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">, allowing researchers to receive formal recognition when their datasets are reused. The \u003C\u002Fspan>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Health Data Hub\u003C\u002Fspan>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\"> similarly \u003C\u002Fspan>\u003Ca style=\"text-decoration: none;\" href=\"https:\u002F\u002Fwww.health-data-hub.fr\u002Fpage\u002Ffaq-english\">\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #1155cc; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: underline; -webkit-text-decoration-skip: none; text-decoration-skip-ink: none; vertical-align: baseline; white-space: pre-wrap;\">reinforces contributor visibility\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\"> by requiring projects to cite source databases and by informing contributors when their data is reused.\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp dir=\"ltr\" style=\"line-height: 1.38; margin-top: 12pt; margin-bottom: 12pt;\">\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Several initiatives support their contributors through technical and operational support. Some initiatives reduce the burdens of data management by helping contributors with extraction, documentation, harmonization, secure access workflows, and infrastructure. The \u003C\u002Fspan>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Mobility Data Space\u003C\u002Fspan>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">, for example, provides a \u003C\u002Fspan>\u003Ca style=\"text-decoration: none;\" href=\"https:\u002F\u002Fmobility-dataspace.eu\u002Fdata-catalogue\">\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #1155cc; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: underline; -webkit-text-decoration-skip: none; text-decoration-skip-ink: none; vertical-align: baseline; white-space: pre-wrap;\">Connector-as-a-Service\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\"> model that allows organizations to exchange data securely without maintaining complex technical infrastructure themselves. The \u003C\u002Fspan>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">HathiTrust Research Center\u003C\u002Fspan>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\"> offers members \u003C\u002Fspan>\u003Ca style=\"text-decoration: none;\" href=\"https:\u002F\u002Fwww.hathitrust.org\u002Fmember-libraries\u002Fservices-programs\u002Fhtrc\u002F\">\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #1155cc; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: underline; -webkit-text-decoration-skip: none; text-decoration-skip-ink: none; vertical-align: baseline; white-space: pre-wrap;\">specialized developer support\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">, technical expertise, and high-capacity computing environments for large-scale text and data mining. \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp dir=\"ltr\" style=\"line-height: 1.38; margin-top: 12pt; margin-bottom: 12pt;\">\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Another benefit is influence over standards, strategy, and governance. \u003C\u002Fspan>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Catena-X\u003C\u002Fspan>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\"> gives participating organizations opportunities to \u003C\u002Fspan>\u003Ca style=\"text-decoration: none;\" href=\"https:\u002F\u002Fcatena-x.academy\u002Fwp-content\u002Fuploads\u002F2024\u002F09\u002F8.1_CX-Association-History-Tasks-Goals.pdf\">\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #1155cc; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: underline; -webkit-text-decoration-skip: none; text-decoration-skip-ink: none; vertical-align: baseline; white-space: pre-wrap;\">co-create industry standards\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">, define API specifications, and shape certification requirements for the automotive ecosystem. In the \u003C\u002Fspan>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Posmo\u003C\u002Fspan>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\"> cooperative, individuals who contribute mobility data gain membership rights and can participate directly in decisions about how the data is used and which institutions may access it. These models treat governance itself as a contributor benefit by giving participants influence over the future direction of the commons. \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp dir=\"ltr\" style=\"line-height: 1.38; margin-top: 12pt; margin-bottom: 12pt;\">\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Some initiatives provide financial incentives or data enrichment. \u003C\u002Fspan>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">AIDA Data Hub \u003C\u002Fspan>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">offers \u003C\u002Fspan>\u003Ca style=\"text-decoration: none;\" href=\"https:\u002F\u002Fdatahub.aida.scilifelab.se\u002Fservices\u002F\">\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #1155cc; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: underline; -webkit-text-decoration-skip: none; text-decoration-skip-ink: none; vertical-align: baseline; white-space: pre-wrap;\">discounts and other incentives\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\"> for contributors of prioritized datasets while also supporting researchers to extract, enrich, and prepare data for broader sharing and reuse. \u003C\u002Fspan>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">GainForest.Earth \u003C\u002Fspan>\u003Ca style=\"text-decoration: none;\" href=\"https:\u002F\u002Fdocs.gainforest.earth\u002Fsolutions\u002Fconservation-data-income\">\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #1155cc; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: underline; -webkit-text-decoration-skip: none; text-decoration-skip-ink: none; vertical-align: baseline; white-space: pre-wrap;\">rewards communities\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\"> for contributing biodiversity data through community-defined pricing models while also providing training, AI tools, and conservation technologies that strengthen local capacity to collect, steward, and benefit from environmental data. The \u003C\u002Fspan>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Health Data Hub\u003C\u002Fspan>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\"> offers another type of benefit, linking and \u003C\u002Fspan>\u003Ca style=\"text-decoration: none;\" href=\"https:\u002F\u002Fwww.medizininformatik-initiative.de\u002Fsites\u002Fdefault\u002Ffiles\u002F2020-11\u002FPresentationHDHNov2020.pptx_0.pdf\">\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #1155cc; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: underline; -webkit-text-decoration-skip: none; text-decoration-skip-ink: none; vertical-align: baseline; white-space: pre-wrap;\">enriching contributed\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\"> datasets with additional health data resources, allowing contributors to derive greater value from the data they originally supplied.\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>\n\u003Ch2 dir=\"ltr\" style=\"line-height: 1.38; margin-top: 18pt; margin-bottom: 6pt;\">\u003Cspan style=\"font-size: 13.999999999999998pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Funding and Support\u003C\u002Fspan>\u003C\u002Fh2>\n\u003Cp dir=\"ltr\" style=\"line-height: 1.38; margin-top: 12pt; margin-bottom: 12pt;\">\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Many initiatives within our repository begin with grants, public seed funding, or pilot support, but durable commons require longer-term arrangements to cover the ongoing costs of infrastructure, stewardship, governance, accountability, and community engagement. As we have \u003C\u002Fspan>\u003Ca style=\"text-decoration: none;\" href=\"https:\u002F\u002Fopendatapolicylab.org\u002Farticles\u002Fblog-post-emerging-funding-and-business-models-for-data-commons-a-comparison\u002F\">\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #1155cc; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: underline; -webkit-text-decoration-skip: none; text-decoration-skip-ink: none; vertical-align: baseline; white-space: pre-wrap;\">discussed elsewhere\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">, funding models frequently overlap and evolve over time.\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp dir=\"ltr\" style=\"line-height: 1.38; margin-top: 12pt; margin-bottom: 12pt;\">\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">The majority of initiatives are supported by multiple organizations through consortium or collaborative arrangements. \u003C\u002Fspan>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Catena-X\u003C\u002Fspan>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">, \u003C\u002Fspan>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">MLCommons\u003C\u002Fspan>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">, \u003C\u002Fspan>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">CLARIN\u003C\u002Fspan>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">, and \u003C\u002Fspan>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Open Heritage\u003C\u002Fspan>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\"> bring together public agencies, research institutions, companies, philanthropies, and civil society organizations that contribute funding, infrastructure, technical expertise, governance labor, or domain knowledge. \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp dir=\"ltr\" style=\"line-height: 1.38; margin-top: 12pt; margin-bottom: 12pt;\">\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">A second major theme is public or government-backed funding. \u003C\u002Fspan>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Health Data Hub\u003C\u002Fspan>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">, \u003C\u002Fspan>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">INSIGHT\u003C\u002Fspan>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">, the \u003C\u002Fspan>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">NCI Cancer Research Data Commons\u003C\u002Fspan>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">, \u003C\u002Fspan>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Mobility Data Space\u003C\u002Fspan>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">, and the \u003C\u002Fspan>\u003Ca style=\"text-decoration: none;\" href=\"https:\u002F\u002Feosc.eu\u002Feosc-about\u002F\">\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #1155cc; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: underline; -webkit-text-decoration-skip: none; text-decoration-skip-ink: none; vertical-align: baseline; white-space: pre-wrap;\">European Open Science Cloud\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\"> depend on funding from government agencies, research councils, public institutions, or state-supported programs. \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp dir=\"ltr\" style=\"line-height: 1.38; margin-top: 12pt; margin-bottom: 12pt;\">\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Other initiatives sustain themselves through membership dues, service models, or donations. \u003C\u002Fspan>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">HathiTrust\u003C\u002Fspan>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">, \u003C\u002Fspan>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">AIDA Data Hub\u003C\u002Fspan>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">, \u003C\u002Fspan>\u003Ca style=\"text-decoration: none;\" href=\"https:\u002F\u002Fosmfoundation.org\u002F\">\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #1155cc; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: underline; -webkit-text-decoration-skip: none; text-decoration-skip-ink: none; vertical-align: baseline; white-space: pre-wrap;\">OpenStreetMap\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">, and parts of the \u003C\u002Fspan>\u003Ca style=\"text-decoration: none;\" href=\"https:\u002F\u002Fwww.wikidata.org\u002Fwiki\u002FWikidata:Main_Page\">\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #1155cc; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: underline; -webkit-text-decoration-skip: none; text-decoration-skip-ink: none; vertical-align: baseline; white-space: pre-wrap;\">Wikimedia\u003C\u002Fspan>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #1155cc; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: underline; -webkit-text-decoration-skip: none; text-decoration-skip-ink: none; vertical-align: baseline; white-space: pre-wrap;\"> \u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">ecosystem rely on combinations of institutional memberships, service fees, philanthropic donations, and volunteer contributions. Initiatives such as \u003C\u002Fspan>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Common Voice\u003C\u002Fspan>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">, the \u003C\u002Fspan>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Public Interest Corpus\u003C\u002Fspan>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">, \u003C\u002Fspan>\u003Ca style=\"text-decoration: none;\" href=\"https:\u002F\u002Ftransfer.art\u002Ftrust\">\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #1155cc; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: underline; -webkit-text-decoration-skip: none; text-decoration-skip-ink: none; vertical-align: baseline; white-space: pre-wrap;\">TRANSFER Data Trust\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">, \u003C\u002Fspan>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">GainForest.Earth\u003C\u002Fspan>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">, and the \u003C\u002Fspan>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Malawi Voice Data Commons\u003C\u002Fspan>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\"> rely on philanthropic, grant-based, or early-stage development funding. These initiatives depend on grants, fiscal sponsorship, foundation support, or pilot funding to address public-interest challenges such as democratizing AI, strengthening community data governance, preserving language and cultural resources, or expanding access to scientific and educational data.\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>\n\u003Ch2 dir=\"ltr\" style=\"line-height: 1.38; margin-top: 18pt; margin-bottom: 6pt;\">\u003Cspan style=\"font-size: 13.999999999999998pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Access Controls\u003C\u002Fspan>\u003C\u002Fh2>\n\u003Cp dir=\"ltr\" style=\"line-height: 1.38; margin-top: 12pt; margin-bottom: 12pt;\">\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Across the repository, access is rarely treated as simply “open” or “closed.” Instead, initiatives use legal, procedural, technical, and community-based mechanisms to balance data availability with privacy, consent, intellectual property, cultural authority, commercial sensitivity, and data sovereignty. \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp dir=\"ltr\" style=\"line-height: 1.38; margin-top: 12pt; margin-bottom: 12pt;\">\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Several initiatives use ethical review processes to determine whether data access should be granted. \u003C\u002Fspan>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">INSIGHT\u003C\u002Fspan>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">, for example, uses the Five Safes framework and routes feasible applications to its \u003C\u002Fspan>\u003Ca style=\"text-decoration: none;\" href=\"https:\u002F\u002Fwww.insight.hdrhub.org\u002Fdata-trust-advisory-board\">\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #1155cc; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: underline; -webkit-text-decoration-skip: none; text-decoration-skip-ink: none; vertical-align: baseline; white-space: pre-wrap;\">Data Trust Advisory Board\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">, which includes patient and public stakeholders and evaluates whether proposed uses balance scientific discovery with public benefit. The \u003C\u002Fspan>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Health Data Hub\u003C\u002Fspan>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\"> follows a similarly formal process, \u003C\u002Fspan>\u003Ca style=\"text-decoration: none;\" href=\"https:\u002F\u002Fwww.health-data-hub.fr\u002Fstarter-kit\">\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #1155cc; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: underline; -webkit-text-decoration-skip: none; text-decoration-skip-ink: none; vertical-align: baseline; white-space: pre-wrap;\">requiring\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\"> scientific and ethical review before authorization by France’s national data protection authority.\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp dir=\"ltr\" style=\"line-height: 1.38; margin-top: 12pt; margin-bottom: 12pt;\">\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">A second model is secure analysis, where users work with data inside a controlled environment. The \u003C\u002Fspan>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">HathiTrust Research Center\u003C\u002Fspan>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\"> uses \u003C\u002Fspan>\u003Ca style=\"text-decoration: none;\" href=\"https:\u002F\u002Fwww.hathitrust.org\u002Fthe-collection\u002Fterms-conditions\u002Fnon-consumptive-use-policy\u002F\">\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #1155cc; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: underline; -webkit-text-decoration-skip: none; text-decoration-skip-ink: none; vertical-align: baseline; white-space: pre-wrap;\">Data Capsules\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\"> to support computational research on protected collections while preventing substantial portions of raw texts from leaving the system; exports must be reviewed to ensure they do not reproduce protected expressive content. \u003C\u002Fspan>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">INSIGHT\u003C\u002Fspan>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\"> similarly provides access through a \u003C\u002Fspan>\u003Ca style=\"text-decoration: none;\" href=\"https:\u002F\u002Fwww.insight.hdrhub.org\u002Fsecure-research-environment\">\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #1155cc; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: underline; -webkit-text-decoration-skip: none; text-decoration-skip-ink: none; vertical-align: baseline; white-space: pre-wrap;\">Secure Research Environment\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">, where researchers work in controlled virtual environments and outputs are reviewed before export. \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp dir=\"ltr\" style=\"line-height: 1.38; margin-top: 12pt; margin-bottom: 12pt;\">\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Other initiatives rely on credentials, training, and data use agreements to ensure that only qualified or accountable users gain access. \u003C\u002Fspan>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">MIDRC\u003C\u002Fspan>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">, for example, requires \u003C\u002Fspan>\u003Ca style=\"text-decoration: none;\" href=\"https:\u002F\u002Fwww.midrc.org\u002Fuser-registration\">\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #1155cc; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: underline; -webkit-text-decoration-skip: none; text-decoration-skip-ink: none; vertical-align: baseline; white-space: pre-wrap;\">user registration\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">, institutional authentication, and agreement to detailed data use conditions governing redistribution, re-identification, publication, and commercial use. \u003C\u002Fspan>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Health Data Nexus\u003C\u002Fspan>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\"> similarly combines institutional authorization, mandatory ethics training, and \u003C\u002Fspan>\u003Ca style=\"text-decoration: none;\" href=\"https:\u002F\u002Fhealthdatanexus.ai\u002Fabout\u002Fstart\u002F\">\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #1155cc; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: underline; -webkit-text-decoration-skip: none; text-decoration-skip-ink: none; vertical-align: baseline; white-space: pre-wrap;\">data use agreements \u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">before granting access to specific datasets. \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp dir=\"ltr\" style=\"line-height: 1.38; margin-top: 12pt; margin-bottom: 12pt;\">\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">For lower-risk or more openly shared resources, access controls often take the form of standardized licenses, APIs, and tiered access categories. \u003C\u002Fspan>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">CLARIN\u003C\u002Fspan>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\"> organizes language resources into public, academic, and restricted-\u003C\u002Fspan>\u003Ca style=\"text-decoration: none;\" href=\"https:\u002F\u002Fwww.clarin.eu\u002Fcontent\u002Flicenses-and-clarin-categories\">\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #1155cc; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: underline; -webkit-text-decoration-skip: none; text-decoration-skip-ink: none; vertical-align: baseline; white-space: pre-wrap;\">access categories\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">, while initiatives such as \u003C\u002Fspan>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Common Voice\u003C\u002Fspan>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\"> and \u003C\u002Fspan>\u003Ca style=\"text-decoration: none;\" href=\"https:\u002F\u002Fwww.institutionaldatainitiative.org\u002Finstitutional-books\">\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #1155cc; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: underline; -webkit-text-decoration-skip: none; text-decoration-skip-ink: none; vertical-align: baseline; white-space: pre-wrap;\">Institutional Books 1.0\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\"> rely on open licenses, attribution requirements, platform terms, or API-based access. These models maximize reuse while still establishing expectations for lawful and responsible use.\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp dir=\"ltr\" style=\"line-height: 1.38; margin-top: 12pt; margin-bottom: 12pt;\">\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Industrial and federated data spaces use access controls rooted in data sovereignty. \u003C\u002Fspan>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Mobility Data Space\u003C\u002Fspan>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\"> and \u003C\u002Fspan>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Catena-X\u003C\u002Fspan>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\"> allow data to remain with providers while exchange is mediated through connectors, contracts, and shared technical standards. \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>\n\u003Ch2 dir=\"ltr\" style=\"line-height: 1.38; margin-top: 18pt; margin-bottom: 6pt;\">\u003Cspan style=\"font-size: 13.999999999999998pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Participatory Governance\u003C\u002Fspan>\u003C\u002Fh2>\n\u003Cp dir=\"ltr\" style=\"line-height: 1.38; margin-top: 12pt; margin-bottom: 12pt;\">\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Participatory governance is the primary feature that distinguishes a data commons from a platform for data access. Throughout the repository, many initiatives involved consultation, contribution, or co-design, but only some gave participants authority over access conditions, technical standards, strategic priorities, or future development. In some commons, individuals or communities participate directly; in others, participation occurs through organizations, institutions, or sectoral representatives. What matters is not who participates, but whether decision-making authority is meaningfully shared.\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp dir=\"ltr\" style=\"line-height: 1.38; margin-top: 12pt; margin-bottom: 12pt;\">\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">One governance model is independent stakeholder oversight, where affected groups or public representatives help determine whether data use is legitimate. \u003C\u002Fspan>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">INSIGHT \u003C\u002Fspan>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">gives its Data Trust Advisory Board authority over the assessment criteria used to approve or deny data access requests. The \u003C\u002Fspan>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Health Data Hub\u003C\u002Fspan>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\"> follows a more institutional version of this model through \u003C\u002Fspan>\u003Ca style=\"text-decoration: none;\" href=\"https:\u002F\u002Fwww.health-data-hub.fr\u002Fcesrees\">\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #1155cc; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: underline; -webkit-text-decoration-skip: none; text-decoration-skip-ink: none; vertical-align: baseline; white-space: pre-wrap;\">CESREES\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">—the Ethical and Scientific Committee for Research, Studies and Evaluations in the field of Health—which evaluates the scientific relevance, ethical character, and public-interest value of proposed projects.\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp dir=\"ltr\" style=\"line-height: 1.38; margin-top: 12pt; margin-bottom: 12pt;\">\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">A second model is collaborative standard-setting, where participating organizations collectively shape the technical and operational rules of the commons. This approach is common in consortium-based initiatives where membership is held by institutions. In \u003C\u002Fspan>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Catena-X\u003C\u002Fspan>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">, for example, members participate in topic-specific \u003C\u002Fspan>\u003Ca style=\"text-decoration: none;\" href=\"https:\u002F\u002Fcatena-x.net\u002Fwp-content\u002Fuploads\u002F2025\u002F03\u002FCatena-X_Organization_Chart.pdf\">\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #1155cc; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: underline; -webkit-text-decoration-skip: none; text-decoration-skip-ink: none; vertical-align: baseline; white-space: pre-wrap;\">working groups\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\"> that define standards, data models, API specifications, and software priorities for the automotive ecosystem. \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp dir=\"ltr\" style=\"line-height: 1.38; margin-top: 12pt; margin-bottom: 12pt;\">\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">A third model centers on community sovereignty and member control. \u003C\u002Fspan>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Posmo\u003C\u002Fspan>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\"> gives every individual who contributes data the right to become a member and participate in decisions about which institutions may access aggregated datasets. \u003C\u002Fspan>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">TRANSFER Data Trust\u003C\u002Fspan>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\"> similarly uses a \u003C\u002Fspan>\u003Ca style=\"text-decoration: none;\" href=\"https:\u002F\u002Ftransfer.art\u002Ftrust\u002Fgovernance#:~:text=TRANSFER%20Data%20Trust%20is%20a,supporters%20informed%20of%20our%20progress.\">\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #1155cc; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: underline; -webkit-text-decoration-skip: none; text-decoration-skip-ink: none; vertical-align: baseline; white-space: pre-wrap;\">member-owned cooperative model\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\"> that gives artists and cultural organizations a direct role in shaping stewardship and governance. The \u003C\u002Fspan>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Language Data Commons of Australia\u003C\u002Fspan>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\"> extends this logic to Indigenous and community authority by using governance structures informed by \u003C\u002Fspan>\u003Ca style=\"text-decoration: none;\" href=\"https:\u002F\u002Fwww.ldaca.edu.au\u002Fabout\u002Fprinciples\u002F\">\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #1155cc; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: underline; -webkit-text-decoration-skip: none; text-decoration-skip-ink: none; vertical-align: baseline; white-space: pre-wrap;\">CARE principles\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\"> to support appropriate control over sensitive linguistic collections.\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp dir=\"ltr\" style=\"line-height: 1.38; margin-top: 12pt; margin-bottom: 12pt;\">\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Other initiatives rely on strategic steering and advisory bodies to guide priorities. \u003C\u002Fspan>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Artsdata\u003C\u002Fspan>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">, for example, is governed by the \u003C\u002Fspan>\u003Ca style=\"text-decoration: none;\" href=\"https:\u002F\u002Fkg.artsdata.ca\u002F\">\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #1155cc; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: underline; -webkit-text-decoration-skip: none; text-decoration-skip-ink: none; vertical-align: baseline; white-space: pre-wrap;\">Artsdata Community Group\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">, which brings together data providers, users, financial supporters, and sector experts to guide the governance and evolution of the shared knowledge graph.\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp dir=\"ltr\" style=\"line-height: 1.38; margin-top: 12pt; margin-bottom: 12pt;\">\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Like the other elements, participatory governance does not take a single institutional form. It can involve patient and public oversight, collaborative ecosystem governance, cooperative ownership, Indigenous and community data sovereignty, advisory councils, or technical standard-setting. It may operate through individual contributors, community representatives, or participating organizations. What distinguishes a data commons is the distribution of authority: meaningful decisions about access, stewardship, standards, and future development are shared rather than retained exclusively by a central actor.\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>\n\u003Ch2 dir=\"ltr\" style=\"line-height: 1.38; margin-top: 18pt; margin-bottom: 6pt;\">\u003Cspan style=\"font-size: 13.999999999999998pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Accountability Mechanisms\u003C\u002Fspan>\u003C\u002Fh2>\n\u003Cp dir=\"ltr\" style=\"line-height: 1.38; margin-top: 12pt; margin-bottom: 12pt;\">\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Accountability mechanisms clarify who is responsible for data use, how compliance is monitored, and how contributors, communities, or the public can assess whether the commons is being used appropriately.\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp dir=\"ltr\" style=\"line-height: 1.38; margin-top: 12pt; margin-bottom: 12pt;\">\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Several initiatives use public transparency and usage reporting. \u003C\u002Fspan>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">INSIGHT’s\u003C\u002Fspan>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\"> \u003C\u002Fspan>\u003Ca style=\"text-decoration: none;\" href=\"https:\u002F\u002Fwww.insight.hdrhub.org\u002Fdata-use-register\">\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #1155cc; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: underline; -webkit-text-decoration-skip: none; text-decoration-skip-ink: none; vertical-align: baseline; white-space: pre-wrap;\">Data Use Register\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\"> provides an accessible record of the project title, lead applicant, and purpose for each study granted access to NHS patient data. The \u003C\u002Fspan>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Health Data Hub\u003C\u002Fspan>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\"> similarly publishes information about datasets in its catalogue and the research projects using them. The \u003C\u002Fspan>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Public Interest Corpus\u003C\u002Fspan>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\"> also emphasizes \u003C\u002Fspan>\u003Ca style=\"text-decoration: none;\" href=\"https:\u002F\u002Fpublicinterestcorpus.org\u002Fprinciples-and-goals\u002F#:~:text=Data%20Nutrition%20Label.-,The%20Public%20Interest%20Corpus%20%E2%80%A6,makes%20use%20of%20the%20corpus.\">\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #1155cc; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: underline; -webkit-text-decoration-skip: none; text-decoration-skip-ink: none; vertical-align: baseline; white-space: pre-wrap;\">transparency \u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">around corpus composition and future modifications as a way to build trust in downstream research.\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp dir=\"ltr\" style=\"line-height: 1.38; margin-top: 12pt; margin-bottom: 12pt;\">\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">A second model is institutional and professional responsibility. \u003C\u002Fspan>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">AIDA Data Hub\u003C\u002Fspan>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\"> requires access requests to be led by a qualified researcher affiliated with a responsible research institution, which remains accountable for safeguarding the data according to its policies and applicable law. At the \u003C\u002Fspan>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Health Data Nexus\u003C\u002Fspan>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">, users must sign a Data Use Agreement for each dataset they wish to access, linking their institutional identity to specific ethical and legal obligations.\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp dir=\"ltr\" style=\"line-height: 1.38; margin-top: 12pt; margin-bottom: 12pt;\">\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">A third model relies on technical auditing and traceability. In industrial data spaces such as the \u003C\u002Fspan>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Mobility Data Space\u003C\u002Fspan>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">, accountability is embedded in usage contracts between data providers and recipients and supported through technical infrastructure. The \u003C\u002Fspan>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Health Data Hub\u003C\u002Fspan>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\"> uses a secure platform that traces actions performed on data, creating an audit trail for compliance. Within \u003C\u002Fspan>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">INSIGHT’s\u003C\u002Fspan>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\"> Secure Research Environment, a data custodian must approve the export of analysis results to ensure that sensitive information does not leave the protected environment.\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp dir=\"ltr\" style=\"line-height: 1.38; margin-top: 12pt; margin-bottom: 12pt;\">\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Other initiatives ground accountability in ethical frameworks, standards, and training. \u003C\u002Fspan>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">The Language Data Commons of Australia\u003C\u002Fspan>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\"> draws on CARE principles to support culturally appropriate stewardship of sensitive language data. \u003C\u002Fspan>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">INSIGHT \u003C\u002Fspan>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">uses the Five Safes framework to assess whether projects involve safe people, safe data, safe settings, safe outputs, and safe projects. \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>\n\u003Ch1 dir=\"ltr\" style=\"line-height: 1.38; margin-top: 14pt; margin-bottom: 4pt;\">\u003Cspan style=\"font-size: 15pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Reflections\u003C\u002Fspan>\u003C\u002Fh1>\n\u003Cp dir=\"ltr\" style=\"line-height: 1.38; margin-top: 12pt; margin-bottom: 12pt;\">\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Applying the assessment framework clarified that data commons are not simply repositories, platforms, or datasets, but socio-technical institutions. They must balance the needs of data providers, users, data subjects, affected communities, funders, and the broader public interest while sustaining the rules, relationships, and infrastructure that make responsible data access possible. \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp dir=\"ltr\" style=\"line-height: 1.38; margin-top: 12pt; margin-bottom: 12pt;\">\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">First, trust is essential. Across the repository, initiatives used access controls, accountability mechanisms, and ethical review to enable data access, especially where data is sensitive, culturally significant, commercially valuable, or personally identifiable. Secure research environments, public data-use registers, ethical review boards, contributor-controlled permissions, and traceable audit systems help create the conditions under which communities and institutions are willing to provide access.\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp dir=\"ltr\" style=\"line-height: 1.38; margin-top: 12pt; margin-bottom: 12pt;\">\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Second, data commons cannot depend on altruism alone. They require reciprocity. Contributors need meaningful value in return for the labor, risk, and expertise involved in preparing and sharing data. That value may come through access to a larger and better-curated shared resource, attribution, persistent identifiers, technical support, data enrichment, capacity-building, governance rights, or strategic influence. \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp dir=\"ltr\" style=\"line-height: 1.38; margin-top: 12pt; margin-bottom: 12pt;\">\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Third, grants, philanthropic support, public seed funding, and time-limited research funding can help launch initiatives, but they do not guarantee long-term sustainability. More durable initiatives combine funding sources such as public mandates, institutional support, membership dues, service fees, donations, volunteer labor, and consortium contributions. \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp dir=\"ltr\" style=\"line-height: 1.38; margin-top: 12pt; margin-bottom: 12pt;\">\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Finally, governance is the clearest boundary between a data commons and other forms of collaborative data sharing. Open datasets, data sharing platforms, standards bodies, and commons-enabling alliances can all contribute to the broader data ecosystem, but they do not automatically qualify as data commons. What matters is whether contributors, affected communities, members, or participating institutions hold meaningful authority over access rules, standards, stewardship practices, accountability mechanisms, or future development. This shared authority separates participation in building a data resource from participation in governing it as a commons. \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp dir=\"ltr\" style=\"line-height: 1.38; margin-top: 12pt; margin-bottom: 12pt;\">\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">***\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp dir=\"ltr\" style=\"line-height: 1.38; margin-top: 12pt; margin-bottom: 12pt;\">\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">To learn more about our broader data commons work, including the New Commons Incubator, visit \u003C\u002Fspan>\u003Ca style=\"text-decoration: none;\" href=\"http:\u002F\u002Fnewcommons.ai\">\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #1155cc; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: underline; -webkit-text-decoration-skip: none; text-decoration-skip-ink: none; vertical-align: baseline; white-space: pre-wrap;\">newcommons.ai\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">.  \u003C\u002Fspan>\u003C\u002Fp>",{},"what-our-repository-reveals-about-data-commons-in-the-ai-era","blogposts\u002Fwhat-our-repository-reveals-about-data-commons-in-the-ai-era","PMSSkisHeptYCHRYaTE6cN4CYJ288YY9PoqtdoQMDls",{"id":121,"brow":77,"cover_image":122,"date":123,"excerpt":9,"extension":10,"heading":124,"main_content":125,"meta":126,"slug":127,"stem":128,"tagline":9,"__hash__":129},"blogposts\u002Fblogposts\u002Fdefining-data-commons-a-framework-for-assessing-shared-data-resources.json","https:\u002F\u002Fcms.thegovlab.com\u002Fassets\u002F15a3a31b-d0a8-43c0-bd25-f5d10a485b4f","2026-07-06","Defining Data Commons: A Framework for Assessing Shared Data Resources","\u003Cp id=\"docs-internal-guid-4e206a0a-7fff-236d-b063-b9fe2aacf3a3\" dir=\"ltr\" style=\"line-height: 1.38; margin-top: 12pt; margin-bottom: 12pt;\">\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Actors around the world are turning to data commons to improve access to high-quality data for AI development while advancing more equitable, accountable, and collaborative approaches to data governance.\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp dir=\"ltr\" style=\"line-height: 1.38; margin-top: 12pt; margin-bottom: 12pt;\">\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">We define \u003C\u002Fspan>\u003Ca style=\"text-decoration: none;\" href=\"https:\u002F\u002Fincubator.opendatapolicylab.org\u002Ffiles\u002Fdata-commons-for-ai-blueprint.pdf\">\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #1155cc; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: underline; -webkit-text-decoration-skip: none; text-decoration-skip-ink: none; vertical-align: baseline; white-space: pre-wrap;\">data commons\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\"> as collaboratively governed ecosystems that pool, steward, and provide responsible access to shared data resources. Yet initiatives operating under the label\u003C\u002Fspan>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: italic; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\"> \u003C\u002Fspan>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">vary considerably in their governance structures, access models, funding arrangements, and relationships with contributors and affected communities. At the same time, many initiatives that resemble data commons in practice do not describe themselves using the term. Distinguishing data commons from adjacent models such as open data platforms, data cooperatives, or AI data pools is therefore not always straightforward. \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp dir=\"ltr\" style=\"line-height: 1.38; margin-top: 12pt; margin-bottom: 12pt;\"> \u003C\u002Fp>\n\u003Cp dir=\"ltr\" style=\"line-height: 1.38; margin-top: 12pt; margin-bottom: 12pt;\">\u003Cspan style=\"font-size: 13.999999999999998pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">What We Did \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp dir=\"ltr\" style=\"line-height: 1.38; margin-top: 12pt; margin-bottom: 12pt;\">\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">To better understand this landscape, the Open Data Policy Lab created the \u003C\u002Fspan>\u003Ca style=\"text-decoration: none;\" href=\"https:\u002F\u002Fdocs.google.com\u002Fspreadsheets\u002Fd\u002F1GPzU4Pspi-XOmJU13LvOUUPxtfTuRXcZMBw7lxkQRyY\u002Fedit?gid=0#gid=0\">\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #1155cc; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: underline; -webkit-text-decoration-skip: none; text-decoration-skip-ink: none; vertical-align: baseline; white-space: pre-wrap;\">Data Commons for Generative AI Repository\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">, which currently contains 49 initiatives spanning health, science, language, culture, mobility, environment, and other domains. The repository was developed through desk research and built on insights from our data commons work over the last two years, including research projects, studios, and the \u003C\u002Fspan>\u003Ca style=\"text-decoration: none;\" href=\"https:\u002F\u002Fwww.newcommons.ai\u002F\">\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #1155cc; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: underline; -webkit-text-decoration-skip: none; text-decoration-skip-ink: none; vertical-align: baseline; white-space: pre-wrap;\">New Commons Challenge\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">. In assembling it, we adopted a deliberately broad approach, capturing mature commons, federated infrastructures, cooperative models, consortium-based initiatives, and commons in development. \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp dir=\"ltr\" style=\"line-height: 1.38; margin-top: 12pt; margin-bottom: 12pt;\">\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">As the repository expanded, we needed a consistent way to assess how closely different initiatives aligned with the principles of a data commons. Drawing on our research and the characteristics identified through our work on data commons, including the principles outlined in our \u003C\u002Fspan>\u003Ca style=\"text-decoration: none;\" href=\"https:\u002F\u002Fincubator.opendatapolicylab.org\u002Ffiles\u002Fdata-commons-for-ai-blueprint.pdf\">\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #1155cc; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: underline; -webkit-text-decoration-skip: none; text-decoration-skip-ink: none; vertical-align: baseline; white-space: pre-wrap;\">Blueprint to Unlock Data Commons for AI\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">, we developed an assessment checklist. The checklist translates these characteristics into a set of elements that can be used to compare initiatives and evaluate how closely they align with the data commons model.\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp dir=\"ltr\" style=\"line-height: 1.38; margin-top: 12pt; margin-bottom: 12pt;\">\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">We reviewed each initiative against the checklist using desk research. We did not use the framework as a scoring system, and inclusion in the repository did not depend on meeting a fixed number of criteria. Nor did we expect every initiative to fully implement all six elements. Instead, we evaluated how initiatives approached each element and whether, taken together, they demonstrated characteristics consistent with a data commons. \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp dir=\"ltr\" style=\"line-height: 1.38; margin-top: 12pt; margin-bottom: 12pt;\">\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">After removing initiatives that no longer appeared active, we excluded initiatives when we found no evidence that contributors, affected communities, or member institutions could influence stewardship, access rules, accountability processes, or future development. Recognizing that the field remains at an early stage, we retained some commons-in-development that had not yet fully implemented governance or accountability structures when there was credible evidence that they were actively building toward them. \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp dir=\"ltr\" style=\"line-height: 1.38; margin-top: 12pt; margin-bottom: 12pt;\">\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Our objective was to reflect the diversity of institutional arrangements emerging across sectors while maintaining meaningful boundaries around the concept of a data commons.\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>\n\u003Cp dir=\"ltr\" style=\"line-height: 1.38; margin-top: 12pt; margin-bottom: 12pt;\">\u003Cspan style=\"font-size: 13.999999999999998pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">What We Developed: Six Elements of a Data Commons \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp dir=\"ltr\" style=\"line-height: 1.38; margin-top: 12pt; margin-bottom: 12pt;\">\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">These elements represent characteristics commonly found in data commons and provide a practical framework for assessment:\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cul style=\"margin-top: 0; margin-bottom: 0; padding-inline-start: 48px;\">\n\u003Cli dir=\"ltr\" style=\"list-style-type: disc; font-size: 11pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre;\" aria-level=\"1\">\n\u003Cp dir=\"ltr\" style=\"line-height: 1.38; margin-top: 12pt; margin-bottom: 0pt;\" role=\"presentation\">\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Public Purpose:\u003C\u002Fspan>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\"> Whether the initiative aims to supply data needed to address public problems and support public-interest AI;\u003C\u002Fspan>\u003C\u002Fp>\n\u003C\u002Fli>\n\u003Cli dir=\"ltr\" style=\"list-style-type: disc; font-size: 11pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre;\" aria-level=\"1\">\n\u003Cp dir=\"ltr\" style=\"line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;\" role=\"presentation\">\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Contributor Benefits:\u003C\u002Fspan>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\"> Whether contributors receive meaningful value in exchange for providing access to data, expertise, labor, or other resources;\u003C\u002Fspan>\u003C\u002Fp>\n\u003C\u002Fli>\n\u003Cli dir=\"ltr\" style=\"list-style-type: disc; font-size: 11pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre;\" aria-level=\"1\">\n\u003Cp dir=\"ltr\" style=\"line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;\" role=\"presentation\">\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Funding and Support: \u003C\u002Fspan>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Whether the initiative has identifiable sources of financial, institutional, technical, or operational support to sustain the commons over time;\u003C\u002Fspan>\u003C\u002Fp>\n\u003C\u002Fli>\n\u003Cli dir=\"ltr\" style=\"list-style-type: disc; font-size: 11pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre;\" aria-level=\"1\">\n\u003Cp dir=\"ltr\" style=\"line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;\" role=\"presentation\">\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Access Controls:\u003C\u002Fspan>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\"> Whether the initiative establishes clear rules and mechanisms governing who can access data, under what conditions, and for what purposes;\u003C\u002Fspan>\u003C\u002Fp>\n\u003C\u002Fli>\n\u003Cli dir=\"ltr\" style=\"list-style-type: disc; font-size: 11pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre;\" aria-level=\"1\">\n\u003Cp dir=\"ltr\" style=\"line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;\" role=\"presentation\">\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Participatory Governance:\u003C\u002Fspan>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\"> Whether contributors, affected communities, members, or participating institutions can meaningfully influence stewardship, rules, standards, or future development;\u003C\u002Fspan>\u003C\u002Fp>\n\u003C\u002Fli>\n\u003Cli dir=\"ltr\" style=\"list-style-type: disc; font-size: 11pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre;\" aria-level=\"1\">\n\u003Cp dir=\"ltr\" style=\"line-height: 1.38; margin-top: 0pt; margin-bottom: 12pt;\" role=\"presentation\">\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Accountability Mechanisms:\u003C\u002Fspan>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\"> Whether the initiative includes safeguards, oversight processes, transparency measures, or other mechanisms that support responsible data use.\u003C\u002Fspan>\u003C\u002Fp>\n\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Cp dir=\"ltr\" style=\"line-height: 1.38; text-align: center; margin-top: 12pt; margin-bottom: 12pt;\">\u003Cimg src=\"https:\u002F\u002Fcms.thegovlab.com\u002Fassets\u002F483b0c62-9f86-4094-a03b-59ea6b431dae.png?width=372&height=414\" alt=\"Screenshot 2026 07 06 101135\">\u003C\u002Fp>\n\u003Cp dir=\"ltr\" style=\"line-height: 1.38; margin-top: 12pt; margin-bottom: 12pt;\">\u003Cspan style=\"font-size: 13.999999999999998pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">What We Found \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp dir=\"ltr\" style=\"line-height: 1.38; margin-top: 12pt; margin-bottom: 12pt;\">\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Across the repository, the vast majority of initiatives were created to serve a public purpose, offered clear benefits to contributors, had identifiable funding or support, and included some form of access control. Participatory governance and accountability mechanisms showed greater variation and ultimately became the most important criteria for distinguishing data commons from adjacent models. \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp dir=\"ltr\" style=\"line-height: 1.38; margin-top: 12pt; margin-bottom: 12pt;\">\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">The review process clarified several categories that should not automatically be treated as data commons. These included:\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cul style=\"margin-top: 0; margin-bottom: 0; padding-inline-start: 48px;\">\n\u003Cli dir=\"ltr\" style=\"list-style-type: disc; font-size: 11pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre;\" aria-level=\"1\">\n\u003Cp dir=\"ltr\" style=\"line-height: 1.38; margin-top: 12pt; margin-bottom: 0pt;\" role=\"presentation\">\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Centralized institutional or government-run platforms \u003C\u002Fspan>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">with no evidence of shared governance, community authority, or contributor stewardship;\u003C\u002Fspan>\u003C\u002Fp>\n\u003C\u002Fli>\n\u003Cli dir=\"ltr\" style=\"list-style-type: disc; font-size: 11pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre;\" aria-level=\"1\">\n\u003Cp dir=\"ltr\" style=\"line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;\" role=\"presentation\">\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Open datasets or one-time data publications \u003C\u002Fspan>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">lacking ongoing governance, stewardship, or accountability;\u003C\u002Fspan>\u003C\u002Fp>\n\u003C\u002Fli>\n\u003Cli dir=\"ltr\" style=\"list-style-type: disc; font-size: 11pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre;\" aria-level=\"1\">\n\u003Cp dir=\"ltr\" style=\"line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;\" role=\"presentation\">\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Peer-production, crowdsourcing, or co-production initiatives\u003C\u002Fspan>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\"> where participants contribute data or labor without meaningful governance authority; and \u003C\u002Fspan>\u003C\u002Fp>\n\u003C\u002Fli>\n\u003Cli dir=\"ltr\" style=\"list-style-type: disc; font-size: 11pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre;\" aria-level=\"1\">\n\u003Cp dir=\"ltr\" style=\"line-height: 1.38; margin-top: 0pt; margin-bottom: 12pt;\" role=\"presentation\">\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Alliances, standards bodies, or coordination networks\u003C\u002Fspan>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\"> that support data sharing but do not directly steward a shared data resource.\u003C\u002Fspan>\u003C\u002Fp>\n\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Cp dir=\"ltr\" style=\"line-height: 1.38; margin-top: 12pt; margin-bottom: 12pt;\">\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Many excluded initiatives exhibited openness, collaboration, or stakeholder engagement, but lacked mechanisms for shared stewardship and decision-making. The presence of a shared data resource alone was not sufficient; governance authority also needed to be distributed beyond a single central actor.\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>\n\u003Cp dir=\"ltr\" style=\"line-height: 1.38; margin-top: 12pt; margin-bottom: 12pt;\">\u003Cspan style=\"font-size: 13.999999999999998pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Looking Forward \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp dir=\"ltr\" style=\"line-height: 1.38; margin-top: 12pt; margin-bottom: 12pt;\">\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">This framework is not intended to provide an exhaustive answer to how a data commons should be constituted. It provides a practical way to examine emerging models, compare institutional approaches, and draw clearer distinctions within an evolving field. As data commons continue to emerge across sectors and geographies, the framework can help practitioners, researchers, policymakers, and funders better understand how different models approach governance, participation, accountability, and sustainability. \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp dir=\"ltr\" style=\"line-height: 1.38; margin-top: 12pt; margin-bottom: 12pt;\">\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">In our next post, we apply this framework across the repository and explore what it reveals about the current landscape of data commons. \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp dir=\"ltr\" style=\"line-height: 1.38; margin-top: 12pt; margin-bottom: 12pt;\">\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">***\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>\n\u003Cp dir=\"ltr\" style=\"line-height: 1.38; margin-top: 12pt; margin-bottom: 12pt;\">\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">To learn more about our broader data commons work, including the New Commons Incubator, visit \u003C\u002Fspan>\u003Ca style=\"text-decoration: none;\" href=\"http:\u002F\u002Fnewcommons.ai\">\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #1155cc; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: underline; -webkit-text-decoration-skip: none; text-decoration-skip-ink: none; vertical-align: baseline; white-space: pre-wrap;\">newcommons.ai\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"font-size: 11pt; font-family: 'Proxima Nova',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">.  \u003C\u002Fspan>\u003C\u002Fp>",{},"defining-data-commons-a-framework-for-assessing-shared-data-resources","blogposts\u002Fdefining-data-commons-a-framework-for-assessing-shared-data-resources","EPn7lZDbgdlluoWkFMAiiZ-uOfzODRJrXPIlpy7n-tA",{"id":131,"brow":132,"cover_image":133,"date":134,"excerpt":9,"extension":10,"heading":135,"main_content":136,"meta":137,"slug":138,"stem":139,"tagline":9,"__hash__":140},"blogposts\u002Fblogposts\u002Fnew-resource-data-commons-faq.json","Resource","https:\u002F\u002Fcms.thegovlab.com\u002Fassets\u002Fc75f4486-f070-4283-852b-7375befad4ea","2026-06-30","New Resource: Data Commons FAQ","\u003Cp dir=\"ltr\">What are data commons? Where did the concept come from? How are they different from other data collaboratives? What value do they provide? And what are there limitations?\u003C\u002Fp>\n\u003Cp dir=\"ltr\">These are just a few of the questions that we’ve received since The Open Data Policy Lab published its \u003Ca href=\"https:\u002F\u002Fincubator.opendatapolicylab.org\u002Ffiles\u002Fdata-commons-for-ai-blueprint.pdf\">Blueprint to Unlock New Data Commons for AI\u003C\u002Fa>—a framework for creating new, collaboratively governed data ecosystems that pool and provide responsible access to diverse, high-quality datasets from one or more sectors.\u003C\u002Fp>\n\u003Cp dir=\"ltr\">\u003Ca href=\"https:\u002F\u002Fnewcommons.ai\u002Fdocs\u002Fdata-commons-faq.pdf\">Data Commons: Frequently Asked Questions\u003C\u002Fa> seeks to answer some of those concerns. In the form of a short, 15-page report, it provides an overview of the concept and why they can serve as an alternative to the growing use of privatized data silos or extractive re-use of open datasets. It answers questions such as:\u003C\u002Fp>\n\u003Cul>\n\u003Cli dir=\"ltr\" aria-level=\"1\">\n\u003Cp dir=\"ltr\" role=\"presentation\">What is a data commons?\u003C\u002Fp>\n\u003C\u002Fli>\n\u003Cli dir=\"ltr\" aria-level=\"1\">\n\u003Cp dir=\"ltr\" role=\"presentation\">Where does the idea for a commons come from?\u003C\u002Fp>\n\u003C\u002Fli>\n\u003Cli dir=\"ltr\" aria-level=\"1\">\n\u003Cp dir=\"ltr\" role=\"presentation\">How are commons managed?\u003C\u002Fp>\n\u003C\u002Fli>\n\u003Cli dir=\"ltr\" aria-level=\"1\">\n\u003Cp dir=\"ltr\" role=\"presentation\">How are data commons different from data collaboratives?\u003C\u002Fp>\n\u003C\u002Fli>\n\u003Cli dir=\"ltr\" aria-level=\"1\">\n\u003Cp dir=\"ltr\" role=\"presentation\">What are some of the critiques of data commons?\u003C\u002Fp>\n\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Cp dir=\"ltr\">Authored by Stefaan Verhulst (The Govlab), Andrew J. Zahuranec (The GovLab), Hannah Chafetz (The GovLab), Leona Verdadero (UNESCO), and Jennifer Hansen (Microsoft), the resource is a vital component to the \u003Ca href=\"https:\u002F\u002Fnewcommons.ai\u002F\">New Commons Incubator\u003C\u002Fa>—which seeks applicants for a six-month capacity-building program to support the development of data commons proposals. \u003C\u002Fp>\n\u003Cp dir=\"ltr\">By reviewing the document, possible applicants can understand exactly what the Incubator seeks to achieve. Others can use the FAQ to guide their own work, developing data commons that correspond to the latest research and analysis. It is also available in \u003Ca href=\"https:\u002F\u002Fnewcommons.ai\u002Fdocs\u002Fdata-commons-faq-fr.pdf\">French\u003C\u002Fa> and \u003Ca href=\"https:\u002F\u002Fnewcommons.ai\u002Fdocs\u002Fdata-commons-faq-es.pdf\">Spanish\u003C\u002Fa>.\u003C\u002Fp>\n\u003Cp dir=\"ltr\">We invite you to read \u003Ca href=\"https:\u002F\u002Fnewcommons.ai\u002Fdocs\u002Fdata-commons-faq.pdf\">Data Commons: Frequently Asked Questions\u003C\u002Fa> to learn more about this work. If you have any questions, please feel free to contact us at \u003Ca href=\"mailto:newcommons@opendatapolicylab.org\">newcommons@opendatapolicylab.org\u003C\u002Fa>. \u003C\u002Fp>",{},"new-resource-data-commons-faq","blogposts\u002Fnew-resource-data-commons-faq","ozul3dNu9G9sR_s-xMimijVqC4zMe5UtQh-hBKmCv44",{"id":142,"brow":143,"cover_image":144,"date":145,"excerpt":9,"extension":10,"heading":146,"main_content":147,"meta":148,"slug":149,"stem":150,"tagline":9,"__hash__":151},"blogposts\u002Fblogposts\u002Fnew-commons-incubator-launches-to-support-indigenous-led-language-and-cultural-data-commons-in-the-age-of-ai.json","Announcement","https:\u002F\u002Fcms.thegovlab.com\u002Fassets\u002Ff287f8cf-3b13-4ec2-9208-626456b3fc7d","2026-06-18","New Commons Incubator Launches to Support Indigenous-Led Language and Cultural Data Commons in the Age of AI","\u003Cp dir=\"ltr\">NEW YORK CITY, NEW YORK — As artificial intelligence increasingly relies on language and cultural data, Indigenous communities face unprecedented opportunities and significant risks. While Indigenous languages and cultural knowledge can help shape more inclusive digital futures, too often communities have limited influence over how their data is collected, governed, used, or shared.\u003C\u002Fp>\n\u003Cp dir=\"ltr\">To address this challenge, The GovLab, Microsoft, and UNESCO are launching the \u003Ca href=\"https:\u002F\u002Fnewcommons.ai\u002F\">New Commons Incubator for Indigenous Languages and Culture\u003C\u002Fa>, a new initiative designed to support Indigenous-led efforts to develop data commons that preserve, steward, and responsibly govern language and cultural resources in the AI era.\u003C\u002Fp>\n\u003Cp dir=\"ltr\">\u003Ca href=\"https:\u002F\u002Fincubator.opendatapolicylab.org\u002Ffiles\u002Fdata-commons-for-ai-blueprint.pdf\">Data commons\u003C\u002Fa> are shared governance frameworks that enable communities to collectively decide how their data is managed, accessed, and used while ensuring that benefits flow back to the communities themselves. By supporting the development of Indigenous-led data commons, the Incubator seeks to strengthen community agency, support language revitalization, and ensure that Indigenous peoples can participate in shaping the future of AI on their own terms.\u003C\u002Fp>\n\u003Cp dir=\"ltr\">The Incubator is a capacity-building initiative that provides mentorship, training, technical guidance, and proposal development support. Participants will receive an in-person opportunity to collaborate and network with other participants, followed by six months of workshops, one-on-one clinics, expert mentorships, and peer learning opportunities. The program is designed to help teams prepare stronger proposals and will end with a final showcase where participants present these to potential funders, partners, and collaborators.\u003C\u002Fp>\n\u003Cp dir=\"ltr\">The goal is not to create data commons directly but to equip Indigenous innovators and communities with the tools, governance frameworks, partnerships, and implementation strategies needed to transform promising ideas into actionable and fundable initiatives.\u003C\u002Fp>\n\u003Cp>\u003Cstrong> \u003C\u002Fstrong>\u003C\u002Fp>\n\u003Ch3 dir=\"ltr\">Building on Past Success\u003C\u002Fh3>\n\u003Cp dir=\"ltr\">The Incubator builds upon the success of the \u003Ca href=\"https:\u002F\u002Fwww.newcommons.ai\u002Fblog\u002Fadvancing-data-governance-for-ai-innovation-insights-from-the-2025-new-commons-challenge-event\">2025 New Commons Challenge\u003C\u002Fa>, a global effort to advance new models of data stewardship and collective governance.\u003C\u002Fp>\n\u003Cp dir=\"ltr\">The Challenge attracted more than 175 submissions from around the world, revealing a growing demand for approaches that enable communities to govern and benefit from their own data. A significant number of proposals focused on Indigenous languages and cultural knowledge, highlighting both the urgency of preservation and the opportunity to ensure these resources are stewarded responsibly in the age of AI.\u003C\u002Fp>\n\u003Cp dir=\"ltr\">Many proposals demonstrated tremendous promise but required additional support to become operational, sustainable, and investment-ready. The New Commons Incubator was created to address that need by helping participants refine governance models, strengthen technical and organizational foundations, and develop implementation roadmaps capable of attracting long-term support.\u003C\u002Fp>\n\u003Cp dir=\"ltr\">The initiative also contributes to the goals of the \u003Ca href=\"https:\u002F\u002Fwww.unesco.org\u002Fen\u002Fdecades\u002Findigenous-languages\">International Decade of Indigenous Languages\u003C\u002Fa> (2022–2032), which seeks to preserve, revitalize, and promote Indigenous languages worldwide.\u003C\u002Fp>\n\u003Cp>\u003Cstrong> \u003C\u002Fstrong>\u003C\u002Fp>\n\u003Ch3 dir=\"ltr\">Calling interested communities to apply\u003C\u002Fh3>\n\u003Cp dir=\"ltr\">The Incubator begins with an open call for applications running from June 18 to August 14, 2026.\u003C\u002Fp>\n\u003Cp dir=\"ltr\">Applications must be Indigenous-led, demonstrate institutional or community support, and have a clear commitment to ensuring that benefits generated through the initiative are shared with Indigenous communities.\u003C\u002Fp>\n\u003Cp dir=\"ltr\">Interested applicants will submit concept notes outlining their vision, use case, and governance approach. Submissions will be reviewed by an international panel of Indigenous experts and leaders according to four criteria:\u003C\u002Fp>\n\u003Cul>\n\u003Cli dir=\"ltr\" aria-level=\"1\">\n\u003Cp dir=\"ltr\" role=\"presentation\">\u003Cstrong>Opportunity\u003C\u002Fstrong>: What challenge or use case does the proposal address?\u003C\u002Fp>\n\u003C\u002Fli>\n\u003Cli dir=\"ltr\" aria-level=\"1\">\n\u003Cp dir=\"ltr\" role=\"presentation\">\u003Cstrong>Community Relevance\u003C\u002Fstrong>: How does the initiative serve Indigenous communities and priorities?\u003C\u002Fp>\n\u003C\u002Fli>\n\u003Cli dir=\"ltr\" aria-level=\"1\">\n\u003Cp dir=\"ltr\" role=\"presentation\">\u003Cstrong>Resources and Readiness\u003C\u002Fstrong>: What assets, partnerships, and capabilities are available to support implementation?\u003C\u002Fp>\n\u003C\u002Fli>\n\u003Cli dir=\"ltr\" aria-level=\"1\">\n\u003Cp dir=\"ltr\" role=\"presentation\">\u003Cstrong>Team\u003C\u002Fstrong>: Who will participate in and lead the work?\u003C\u002Fp>\n\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Cp dir=\"ltr\">Five to six teams will be selected to participate in the Incubator and receive dedicated support over several months to transform their concepts into robust and actionable proposals.\u003C\u002Fp>\n\u003Ch3 dir=\"ltr\">A Coalition of Support\u003C\u002Fh3>\n\u003Cp dir=\"ltr\">The New Commons Incubator is made possible through the support of The GovLab, Microsoft, and UNESCO, together with a global steering committee of Indigenous leaders, practitioners, and experts.\u003C\u002Fp>\n\u003Cp dir=\"ltr\">Stefaan Verhulst, Co-Founder and Chief Research and Development Officer of The GovLab, said:\u003C\u002Fp>\n\u003Cp dir=\"ltr\">\u003Cem>\"For too long, communities have been asked to contribute data without having meaningful influence over how that data is used, governed, or who benefits from it. The New Commons Incubator is about moving from extraction to stewardship and from participation to agency. We want Indigenous communities to help shape the future of AI, not simply be subjects of it. By supporting Indigenous-led data commons, we hope to advance new models of digital self-determination that ensure languages, cultural knowledge, and community priorities remain at the center of technological innovation.\"\u003C\u002Fem>\u003C\u002Fp>\n\u003Cp dir=\"ltr\">Guilherme Canela de Souza Godoi, Director of the Division for Digital Inclusion, Policies and Transformation at UNESCO, added:\u003C\u002Fp>\n\u003Cp dir=\"ltr\">\u003Cem>\"This initiative advances the objectives of the International Decade of Indigenous Languages by co-creating tools with Indigenous communities and supporting them to steward their own linguistic and cultural resources. Ensuring that communities can govern and benefit from their own data is essential to preserving cultural diversity and fostering inclusive digital transformation.\"\u003C\u002Fem>\u003C\u002Fp>\n\u003Cp dir=\"ltr\">Jennifer Hansen, Director, Data Policy & Strategy, Microsoft\u003C\u002Fp>\n\u003Cp dir=\"ltr\">\u003Cem>\"We are proud to build on the success of last year's New Commons Challenge with an initiative specifically focused on Indigenous languages and cultures. We believe communities should have meaningful opportunities to steward and benefit from the data that increasingly shapes AI systems, and we look forward to supporting innovative Indigenous-led approaches that advance those goals.\"\u003C\u002Fem>\u003C\u002Fp>\n\u003Cp dir=\"ltr\">Steering Committee member Chantal Kamgne, Head of Research, EngageAfricaNLP and Managing Director, Localizzz, said: \u003C\u002Fp>\n\u003Cp dir=\"ltr\">\u003Cem>“For communities in indigenous, low-resourced and underserved contexts, technologies can support access to knowledge, services, safety, and opportunity. However, Indigenous languages’ place in AI should not be guided or decided by dataset builders or developers alone, but by the people who speak them and live through them. Giving those communities governance, consent, and control in how their languages enter digital spaces and technology means creating processes and protocols that listen before they collect, model, or use language data. The Indigenous Language and Culture Data Commons Incubator works toward exactly that: technology that is more inclusive without stripping languages of the cultural codes, meaning, identities and values that make them worth preserving.”\u003C\u002Fem>\u003C\u002Fp>\n\u003Cp dir=\"ltr\">From a separate Steering Committee Member, Jenny Fewster, Director, Humanities, Arts, Social Sciences and Indigenous Research Data Commons, Australian Research Data Commons:\u003C\u002Fp>\n\u003Cp dir=\"ltr\">\u003Cem>“The Commons Incubator is important because it creates a space where communities, researchers, and infrastructure providers can work together to ensure that emerging technologies strengthen, rather than diminish, Indigenous authority over language and cultural knowledge. Supporting Indigenous data commons is not just about preserving the past, it is about creating the conditions for Indigenous languages, cultures, and knowledge systems to thrive into the future.\"\u003C\u002Fem>\u003C\u002Fp>\n\u003Cp dir=\"ltr\">\u003Cstrong>Join the Incubator\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp dir=\"ltr\">Applications for the New Commons Incubator open on June 18, 2026.\u003C\u002Fp>\n\u003Cp dir=\"ltr\">Interested participants can find more information, including eligibility criteria, program details, and governance documentation, at \u003Ca href=\"http:\u002F\u002Fnewcommons.ai\">newcommons.ai\u003C\u002Fa>\u003C\u002Fp>\n\u003Cp dir=\"ltr\">For inquiries, contact \u003Ca href=\"mailto:contactnewcommons@opendatapolicylab.org\">contactnewcommons@opendatapolicylab.org\u003C\u002Fa>\u003C\u002Fp>\n\u003Cp dir=\"ltr\">\u003Cem>The New Commons Incubator seeks not only to support individual projects, but also to advance a broader vision of digital self-determination; one in which Indigenous communities collectively govern the data, knowledge, and cultural resources that increasingly shape our shared digital future.\u003C\u002Fem>\u003C\u002Fp>",{},"new-commons-incubator-launches-to-support-indigenous-led-language-and-cultural-data-commons-in-the-age-of-ai","blogposts\u002Fnew-commons-incubator-launches-to-support-indigenous-led-language-and-cultural-data-commons-in-the-age-of-ai","e-cS8RKfVoDHub5wbazHn8mfSK-_5OP06eQE5aXkB0U",1788450604296]