[{"data":1,"prerenderedAt":152},["ShallowReactive",2],{"blogposts:es":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_es\u002Fes\u002Fblogposts\u002Fadvancing-data-governance-for-ai-innovation-insights-from-the-2025-new-commons-challenge-event.json","Entrada de blog","https:\u002F\u002Fcms.thegovlab.com\u002Fassets\u002F6b3ea4ea-0679-43f0-a266-148da15ab830","2025-10-09",null,"json","Impulsar la gobernanza de los datos para la innovación en IA: conclusiones del evento «New Commons Challenge 2025»","\u003Cp dir=\"ltr\">En el mundo actual, impulsado por los datos, el potencial de la inteligencia artificial para el bien público no depende solo de los algoritmos, sino también de la calidad y la gestión de los datos en los que se basan. Para las comunidades que se enfrentan a crisis —ya sea en materia de respuesta ante desastres, salud pública o planificación local—, disponer de los datos adecuados puede permitir una toma de decisiones más rápida, justa y responsable. \u003C\u002Fp>\n\u003Cp dir=\"ltr\">Sin embargo, con demasiada frecuencia, esta información permanece aislada, fragmentada o inaccesible. La idea de los datos comunes ofrece una vía de avance: poner en común conjuntos de datos bajo una gobernanza compartida para garantizar que la innovación en IA no solo sea técnicamente sólida, sino también fiable, equitativa y alineada con las necesidades de la comunidad.\u003C\u002Fp>\n\u003Cp dir=\"ltr\">El 25 de septiembre de 2025 —en un evento celebrado en la ciudad de Nueva York— el \u003Ca href=\"https:\u002F\u002Fopendatapolicylab.org\u002F\">Open Data Policy Lab\u003C\u002Fa>, en colaboración con \u003Ca href=\"https:\u002F\u002Fwww.microsoft.com\u002Fen-us\u002F\">Microsoft\u003C\u002Fa> y en asociación con \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> y la \u003Ca href=\"https:\u002F\u002Fhls.harvard.edu\u002Flibrary\u002Fabout-the-library\u002Flibrary-staff\u002Finstitutional-data-initiative\u002F\">Iniciativa de Datos Institucionales de la Biblioteca de la Facultad de Derecho de Harvard\u003C\u002Fa>, con la participación \u003Ca href=\"https:\u002F\u002Fwww.unesco.org\u002Fen\">UNESCO\u003C\u002Fa> como observador internacional, anunció los ganadores del \u003Ca href=\"https:\u002F\u002Fwww.newcommons.ai\u002F\">2025 New Commons Challenge\u003C\u002Fa>. La iniciativa otorgó a dos proyectos 100 000 dólares cada uno para impulsar la creación de datos comunes que aceleren la innovación responsable en IA en la respuesta ante desastres y la toma de decisiones localizada.\u003C\u002Fp>\n\u003Cp dir=\"ltr\">El evento reunió a líderes mundiales, responsables políticos, tecnólogos y profesionales de la comunidad para explorar cómo el intercambio de datos puede abrir nuevas oportunidades para la IA en beneficio del interés público. A continuación, ofrecemos un resumen de los ganadores y de los debates que tuvieron lugar durante el evento.\u003C\u002Fp>\n\u003Ch3 dir=\"ltr\">Discurso de apertura: Creación de un repositorio común de datos para el bien público\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, vicepresidenta corporativa del Trusted Technology Group de Microsoft, inauguró el evento subrayando la importancia de contar con datos diversos y de alta calidad para una innovación responsable en IA. Señaló que los datos no tienen valor intrínseco por sí mismos, sino que cobran relevancia cuando se comparten y reutilizan de forma responsable. Destacando la campaña Open Data de Microsoft y las colaboraciones con The GovLab, la Iniciativa de Datos Institucionales de Harvard y proyectos liderados por Europa, hizo hincapié en la necesidad de ampliar el acceso a conjuntos de datos que reflejen la diversidad cultural y lingüística.\u003C\u002Fp>\n\u003Cp dir=\"ltr\">A pesar de estos avances, Hutson advirtió que muchos modelos de IA siguen estando limitados por datos sesgados o fragmentados, especialmente en idiomas y regiones con escasos recursos. Argumentó que la solución reside en desarrollar «bienes comunes de datos» (data commons): conjuntos de datos compartidos gestionados para su reutilización, interoperabilidad y rendición de cuentas. \u003C\u002Fp>\n\u003Cp dir=\"ltr\">Enmarcando el nuevo reto de los datos comunes como un paso adelante, invitó a los participantes a verse a sí mismos como guardianes de datos que pueden impulsar soluciones de IA para la respuesta ante desastres, la toma de decisiones localizada y el bien público en general.\u003C\u002Fp>\n\u003Ch3 dir=\"ltr\">Enmarcando el reto: los datos comunes como infraestructura ausente\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, cofundador y director de Investigación y Desarrollo de The GovLab, tomó la palabra a continuación para sentar las bases del New Commons Challenge. Describió los datos comunes como la «infraestructura que falta» para la IA de interés público, esencial para ampliar las soluciones destinadas a la respuesta humanitaria, la toma de decisiones a nivel local y otras necesidades sociales urgentes. \u003C\u002Fp>\n\u003Cp dir=\"ltr\">Aunque el mundo está inundado de datos, gran parte de ellos siguen siendo inaccesibles o inutilizables para el bien público. Los datos comunes, argumentó, proporcionan tanto los marcos de gobernanza como los técnicos para que los datos de alta calidad y específicos del contexto estén disponibles de formas que respeten las expectativas de la comunidad. Sin esos bienes comunes, la promesa de la «IA para el bien» corre el riesgo de ser limitada o insostenible.\u003C\u002Fp>\n\u003Cp dir=\"ltr\">Continuó explicando cómo esta constatación llevó a The GovLab, en colaboración con Microsoft, Direct Relief\u002FCrisisReady, la Iniciativa de Datos Institucionales de Harvard y la UNESCO, a lanzar el primer New Commons Challenge seis meses antes. El objetivo era identificar y apoyar a los pioneros que impulsan los datos comunes en la práctica. \u003C\u002Fp>\n\u003Cp dir=\"ltr\">La respuesta, señaló, fue abrumadora: 170 candidaturas de 51 países, de las cuales más de 150 se revisaron en detalle y 44 fueron invitadas a una fase de evaluación más exhaustiva. De este proceso surgieron dos ganadores y varias menciones honoríficas, lo que demuestra que la idea de los datos comunes no es abstracta, sino que ya la está construyendo una comunidad global cada vez mayor.\u003C\u002Fp>\n\u003Ch3 dir=\"ltr\">La ceremonia de entrega de premios\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\">Tras estas palabras, Teresa y Stefaan anunciaron a los ganadores del New Commons Challenge.\u003C\u002Fp>\n\u003Cp dir=\"ltr\">El Instituto CERTI Amazônia recibió el premio a la Mejora de un conjunto de datos comunes. Su Índice de Evolución de la Selva Amazónica transforma datos medioambientales en herramientas preparadas para la IA con el fin de realizar un seguimiento de la deforestación y el cambio en el uso del suelo en la Amazonia Legal de Brasil —una región que abarca nueve estados y aproximadamente el 61 % del territorio brasileño—, lo que permite tomar decisiones de desarrollo sostenible.\u003C\u002Fp>\n\u003Cp dir=\"ltr\">El Programa de Investigación y Educación para la Paz de la Universidad de Nueva York (NYU) es el ganador del premio en la categoría de Desarrollo de un repositorio de datos. Su iniciativa, Malawi Voice Data Commons, desarrollada en colaboración con Ushahidi, el PNUD y la Fundación Mozilla, permite a los habitantes de las zonas rurales de Malaui informar de emergencias en sus lenguas nativas, creando conjuntos de datos multilingües y preparados para la IA destinados a la respuesta humanitaria y la preservación de las lenguas. La fase piloto se llevará a cabo en Malaui, con planes de ampliarla a toda el África subsahariana.\u003C\u002Fp>\n\u003Cp dir=\"ltr\">Los dos equipos presentaron sus propuestas ganadoras y debatieron cómo utilizarían la financiación para apoyar sus iniciativas de bases de datos compartidas.\u003C\u002Fp>\n\u003Cp dir=\"ltr\">El Desafío también anunció varias menciones honoríficas, entre las que se incluyen:\u003C\u002Fp>\n\u003Cul>\n\u003Cli dir=\"ltr\" aria-level=\"1\">\n\u003Cp dir=\"ltr\" role=\"presentation\">\u003Ca href=\"#\">Querido Diário, de Open Knowledge Brasil\u003C\u002Fa>: La iniciativa de Open Knowledge Brasil convierte los boletines oficiales municipales en conjuntos de datos legibles por IA, lo que fomenta la transparencia, la supervisión ciudadana y la gobernanza inclusiva en todo Brasil.\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 y Arkology Studio están creando un repositorio de datos para más de 5000 asentamientos informales en 18 países africanos, integrando historias orales y datos estructurados para promover el aprendizaje entre pares y las prácticas de datos inclusivas.\u003C\u002Fp>\n\u003C\u002Fli>\n\u003Cli dir=\"ltr\" aria-level=\"1\">\n\u003Cp dir=\"ltr\" role=\"presentation\">\u003Ca href=\"#\">PLACE Hub de la Fundación PLACE en Nigeria\u003C\u002Fa>: Financiado por ThisisPLACE, PLACE está replicando su modelo probado en otras regiones en Abuja, Nigeria, para ampliar su infraestructura de datos espaciales impulsada por la comunidad y permitir una IA responsable para la planificación urbana, la respuesta ante desastres y el desarrollo de infraestructuras en Nigeria.   \u003C\u002Fp>\n\u003C\u002Fli>\n\u003Cli dir=\"ltr\" aria-level=\"1\">\n\u003Cp dir=\"ltr\" role=\"presentation\">\u003Ca href=\"#\">«Advancing Climate Justice» del Consejo Global de Litigios Estratégicos\u003C\u002Fa>: La base de datos de casos sobre movilidad climática: decenas de millones de personas se ven desplazadas cada año por la crisis climática. La Base de datos de casos de movilidad climática utiliza la inteligencia artificial para sintetizar la compleja jurisprudencia mundial sobre el desplazamiento climático en conocimiento accesible y multilingüe. Al sintetizar las lecciones aprendidas de los tribunales de todo el mundo, esta plataforma abierta dota a las comunidades, los profesionales y los responsables políticos de las herramientas necesarias para defender los derechos, reforzar la defensa de los intereses y impulsar la reforma de las políticas en favor de las personas en situación de riesgo y desplazadas por el clima en todo el mundo. Desarrollada por el Consejo Global de Litigios Estratégicos, en colaboración con Earth Refuge, el Instituto Raoul Wallenberg y el Instituto Zolberg.\u003C\u002Fp>\n\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Cp dir=\"ltr\">Puede encontrar más información sobre cada galardonado y participante distinguido \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\">aquí\u003C\u002Fa>.\u003C\u002Fp>\n\u003Ch3 dir=\"ltr\">Charla informal: bienes comunes de datos para la innovación en IA y el impacto global\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\">Tras la ceremonia de entrega de premios tuvo lugar una charla informal entre Stefaan G. Verhulst, cofundador y director de Investigación y Desarrollo de The GovLab, e Isabel De Sola Criado, jefa de la Unidad de Coordinación de la Oficina de las Naciones Unidas para las Tecnologías Digitales y Emergentes. En su conversación se exploró cómo los datos comunes pueden acelerar la innovación en IA, ampliar el impacto en el interés público y respaldar las estrategias digitales globales. \u003C\u002Fp>\n\u003Cp dir=\"ltr\">A continuación se presenta un resumen de los principales temas tratados.\u003C\u002Fp>\n\u003Ch4 dir=\"ltr\">(1) Los datos comunes como infraestructura global\u003C\u002Fh4>\n\u003Cp dir=\"ltr\">Verhulst abrió el debate situando los datos comunes como la «infraestructura que falta» para la IA de interés público. Hizo hincapié en su papel a la hora de hacer accesibles datos de alta calidad y específicos del contexto, de formas que respeten las expectativas de la comunidad. Criado se mostró de acuerdo, situando los datos comunes dentro del marco más amplio del Pacto Digital Global (GDC) de la ONU, que describió como un hito en la renovación de la agenda digital global. Destacó que la gobernanza de datos —uno de los cinco pilares del GDC— hace referencia explícita a los datos comunes como herramienta para cerrar las brechas digitales y prevenir una futura brecha de IA.\u003C\u002Fp>\n\u003Ch4 dir=\"ltr\">(2) El Pacto Digital Global y la gobernanza de datos\u003C\u002Fh4>\n\u003Cp dir=\"ltr\">Criado explicó que el GDC establece prioridades interrelacionadas: salvar las brechas digitales, fortalecer la economía digital, promover un espacio en línea seguro y abierto, impulsar la gobernanza de datos y garantizar una IA responsable. Los bienes comunes de datos, argumentó, son una forma concreta de alcanzar estos objetivos, especialmente el cuarto pilar sobre la gobernanza de datos. Señaló que la construcción de una IA ética requiere una gobernanza ética de los datos y que los bienes comunes ofrecen un ejemplo de cómo gestionar los datos de forma responsable al tiempo que se crea un amplio valor social.\u003C\u002Fp>\n\u003Ch4 dir=\"ltr\">(3) Necesidades diversas en los Estados miembros\u003C\u002Fh4>\n\u003Cp dir=\"ltr\">Verhulst invitó a Criado a compartir lo que le transmiten los Estados miembros de la ONU y la sociedad civil sobre los retos que plantea el avance de la gobernanza de datos. Ella explicó que las necesidades varían ampliamente en función de los contextos políticos, económicos y de desarrollo. Algunos países se centran en reforzar la infraestructura básica de datos o en aprobar leyes de privacidad, mientras que otros se enfrentan a retos de desarrollo de capacidades y rendición de cuentas. Muchos países en desarrollo, señaló, se sienten abrumados por prioridades digitales contrapuestas, desde la conectividad hasta el desarrollo de competencias, lo que justifica comenzar con una gobernanza de datos sólida como base para una transformación digital más amplia.\u003C\u002Fp>\n\u003Ch4 dir=\"ltr\">(4) Armonización de la gobernanza de los datos y la IA\u003C\u002Fh4>\n\u003Cp dir=\"ltr\">El debate también puso de relieve la profunda interconexión entre la gobernanza de los datos y la gobernanza de la IA. Verhulst subrayó que la gobernanza de la IA no puede avanzar sin sistemas sólidos de acceso a los datos y supervisión. Criado se hizo eco de este punto, señalando iniciativas en curso de las Naciones Unidas, como el Diálogo Global sobre la Gobernanza de la IA y el Órgano Consultivo de Alto Nivel del Secretario General sobre la IA. Ambas iniciativas reconocen que los datos comunes son esenciales para garantizar que los sistemas de IA sean equitativos, transparentes y responsables.\u003C\u002Fp>\n\u003Ch4 dir=\"ltr\">(5) Incentivos, confianza y el papel de los intermediarios\u003C\u002Fh4>\n\u003Cp dir=\"ltr\">Criado concluyó subrayando la importancia de los incentivos y la confianza para construir datos comunes sostenibles. Señaló que las organizaciones y los gobiernos suelen preguntarse: «¿Qué gano yo con esto?», por lo que resulta fundamental articular claramente los beneficios de compartir datos. Según argumentó, los intermediarios de confianza pueden desempeñar un papel vital a la hora de reunir a las diversas partes interesadas, garantizando que las decisiones se tomen de forma transparente y equitativa. También destacó la necesidad de crear espacios comunes que aborden cuestiones urgentes como los derechos humanos, la seguridad en línea y la protección de las mujeres y las niñas, señalando que estas áreas siguen estando poco desarrolladas a pesar de su importancia.\u003C\u002Fp>\n\u003Ch3 dir=\"ltr\">Palabras de clausura: Celebrando el progreso digital y las alianzas\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\">El evento concluyó con las reflexiones de Alex Wong, asesor principal de Compromiso Estratégico e Iniciativas de la Unión Internacional de Telecomunicaciones (UIT), y Robert Opp, director digital del Programa de las Naciones Unidas para el Desarrollo (PNUD). Wong destacó que, en medio de los debates actuales sobre los riesgos de gobernanza, es igualmente importante celebrar el poder de la innovación digital. \u003C\u002Fp>\n\u003Cp dir=\"ltr\">Señaló la amplitud de las iniciativas presentadas durante el programa «Digital at UNGA» de la Asamblea General de las Naciones Unidas —que abarcan la agricultura, la sanidad, la juventud y el cambio climático— como prueba de cómo la tecnología está transformando las sociedades. Destacó el New Commons Challenge como parte de este impulso, subrayando el papel de empresas como Microsoft a la hora de comprometer nuevas inversiones significativas en competencias y formación en IA.\u003C\u002Fp>\n\u003Cp dir=\"ltr\">Opp partió de estas reflexiones para subrayar que los datos son la base fundamental de la transformación digital. Señaló que, a medida que los países invierten en infraestructura digital, la interoperabilidad y la gobernanza de datos fiables son lo que permite prestar mejores servicios públicos, fundamentar la formulación de políticas y fomentar la innovación del sector privado. En la era de la IA, argumentó, esto se vuelve aún más crítico: los datos deben ser precisos, representativos y estar gestionados de forma responsable para que los modelos impulsen el desarrollo sostenible de manera segura. Opp concluyó haciendo hincapié en la importancia de la colaboración y las alianzas, destacando cómo los esfuerzos conjuntos de la UIT y el PNUD demuestran el valor de combinar los conocimientos técnicos con una perspectiva de desarrollo humano. Situó esta labor en el contexto de un año repleto de hitos —entre los que se incluyen los aniversarios de la UIT, las Naciones Unidas, el PNUD y la Cumbre Mundial sobre la Sociedad de la Información— y recordó a los participantes que los esfuerzos colectivos de hoy darán forma al futuro digital de las próximas décadas.\u003C\u002Fp>\n\u003Cp dir=\"ltr\">***\u003C\u002Fp>\n\u003Cp dir=\"ltr\">¿Tiene alguna pregunta o está interesado en colaborar? Póngase en contacto con nosotros en \u003Ca href=\"mailto:newcommons@opendatapolicylab.org\">newcommons@opendatapolicylab.org\u003C\u002Fa>. \u003C\u002Fp>\n\u003Cp>\u003Cem>Este contenido se tradujo automáticamente con DeepL.\u003C\u002Fem>\u003C\u002Fp>",{},"advancing-data-governance-for-ai-innovation-insights-from-the-2025-new-commons-challenge-event","es\u002Fblogposts\u002Fadvancing-data-governance-for-ai-innovation-insights-from-the-2025-new-commons-challenge-event","4IvLMwhSVjzRlqx8Q40AI_G-P6MX1ylVN6s3WAGMTPw",{"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_es\u002Fes\u002Fblogposts\u002Fbuilding-the-future-of-public-interest-ai-certi-amazonia-institute-and-nyu-peace-research-announced-as-winners-of-the-new-commons-challenge.json","Comunicado de prensa","https:\u002F\u002Fcms.thegovlab.com\u002Fassets\u002Fb667ce08-93c5-4849-a1d4-6a42a9f2ebed","2025-09-26","Construyendo el futuro de la IA de interés público: el Instituto Certi Amazônia y el Centro de Investigación para la Paz de la Universidad de Nueva York, ganadores del New Commons Challenge","\u003Cp dir=\"ltr\">\u003Cstrong>Nueva York, 25 de septiembre de 2025\u003C\u002Fstrong>—La inteligencia artificial es tan buena como los datos en los que se basa. Para usos de interés público —desde la respuesta a emergencias hasta la toma de decisiones a nivel local— es esencial contar con conjuntos de datos de alta calidad, representativos y gestionados de forma responsable. Sin embargo, con demasiada frecuencia, los datos necesarios para las intervenciones humanitarias o la resolución de problemas locales están fragmentados, son inaccesibles o no se ajustan a las necesidades y expectativas de la comunidad.\u003C\u002Fp>\n\u003Cp dir=\"ltr\">Los datos comunes abordan esta brecha. Al agrupar conjuntos de datos bajo normas de gobernanza claras —con un propósito, una gestión y unas salvaguardias compartidos— crean una infraestructura de confianza para una IA responsable. A diferencia de los proyectos de datos ad hoc, los comunes están diseñados para la reutilización, la interoperabilidad y la rendición de cuentas, lo que garantiza que las soluciones de IA no solo sean técnicamente sólidas, sino que también cuenten con la aceptación social.\u003C\u002Fp>\n\u003Cp style=\"margin-left: 40px;\">«El futuro de la IA en el interés público depende de algo más que de los algoritmos: depende de los datos que decidamos compartir, de cómo gestionemos esos datos y de si las comunidades ven valor en su reutilización.» — Stefaan Verhulst, The GovLab\u003C\u002Fp>\n\u003Cp style=\"margin-left: 40px;\">«Desde la ayuda en casos de catástrofes hasta la salud pública, la vía más rápida para lograr un impacto es hacer que los datos de primera línea sean localizables, fiables y reutilizables.» — Andrew Schroeder, vicepresidente de Investigación y Análisis, Direct Relief\u003C\u002Fp>\n\u003Cp dir=\"ltr\">Ese es precisamente el objetivo del \u003Ca href=\"https:\u002F\u002Fwww.newcommons.ai\u002F'\">New Commons Challenge\u003C\u002Fa>: acelerar la creación de datos comunes que impulsen soluciones basadas en la IA, respetando al mismo tiempo las expectativas de la comunidad y maximizando el valor público.\u003C\u002Fp>\n\u003Cp dir=\"ltr\">El Challenge premia a dos iniciativas con 100 000 dólares cada una para desarrollar datos comunes que impulsen la innovación responsable en IA en lo que se refiere a la respuesta ante desastres y la toma de decisiones localizada. Se trata de una iniciativa del \u003Ca href=\"https:\u002F\u002Fopendatapolicylab.org\u002F\">Open Data Policy Lab\u003C\u002Fa> (una colaboración entre Microsoft y The GovLab) y se llevó a cabo en colaboración con \u003Ca href=\"https:\u002F\u002Fwww.directrelief.org\u002F\">Direct Relief\u003C\u002Fa>\u002F\u003Ca href=\"http:\u002F\u002Fcrisisready.io\">CrisisReady\u003C\u002Fa>, la \u003Ca href=\"https:\u002F\u002Fhls.harvard.edu\u002Flibrary\u002Fabout-the-library\u002Flibrary-staff\u002Finstitutional-data-initiative\u002F\">Iniciativa de Datos Institucionales de la Biblioteca de la Facultad de Derecho de Harvard\u003C\u002Fa> y la \u003Ca href=\"https:\u002F\u002Fwww.unesco.org\u002Fen\">UNESCO\u003C\u002Fa> (observador internacional).\u003C\u002Fp>\n\u003Cp dir=\"ltr\">El jueves 25 de septiembre, en un acto celebrado en Nueva York, se anunciaron los ganadores del New Commons Challenge 2025. \u003C\u002Fp>\n\u003Cp dir=\"ltr\">El Instituto Certi Amazônia y el Programa de Investigación y Educación para la Paz de la Universidad de Nueva York han sido nombrados ganadores del 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\">El Instituto CERTI Amazonia recibió el premio a la Mejora de un Repositorio Común de Datos. Su \u003Ca href=\"#\" target=\"_blank\" rel=\"noopener\">Índice de Evolución de la Selva Amazónica\u003C\u002Fa> transforma los datos medioambientales en herramientas preparadas para la IA con el fin de realizar un seguimiento de la deforestación y el cambio en el uso del suelo en la Amazonía Legal de Brasil —una región que abarca nueve estados y aproximadamente el 61 % del territorio brasileño—, lo que permite tomar decisiones de desarrollo sostenible.\u003C\u002Fp>\n\u003Cp dir=\"ltr\">«La Amazonía está cambiando ante nuestros ojos. Con el Índice de Evolución de la Selva Amazónica, estamos transformando datos dispares en un conjunto de datos compartidos que pueden utilizar las comunidades, los científicos y los responsables políticos. Nuestro objetivo es potenciar opciones sostenibles que protejan tanto el bosque como a las personas que dependen de él.” — \u003Cem>Director Ejecutivo, Instituto 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\">El Programa de Investigación y Educación para la Paz de la Universidad de Nueva York (NYU) es el ganador del premio en la categoría «Desarrollo de un repositorio común de datos». Su iniciativa, \u003Ca href=\"#\" target=\"_blank\" rel=\"noopener\">Malawi Voice Data Commons\u003C\u002Fa>, desarrollada en colaboración con Ushahidi, el PNUD y la Fundación Mozilla, permite a los habitantes de las zonas rurales de Malaui informar de emergencias en sus lenguas nativas, creando conjuntos de datos multilingües y preparados para la IA con fines de respuesta humanitaria y preservación lingüística. La prueba piloto se llevará a cabo en Malaui, con planes de ampliarla a toda el África subsahariana.\u003C\u002Fp>\n\u003Cp dir=\"ltr\">«Cuando se avecinan inundaciones o estalla la violencia, las barreras lingüísticas pueden ser mortales. El Malawi Voice Data Commons permite a los habitantes de las zonas rurales de Malaui informar de emergencias en sus propios idiomas, al tiempo que se preserva el patrimonio cultural. Al hacer que estas voces sean compatibles con la IA, garantizamos que la respuesta humanitaria sea más rápida e inclusiva.” — \u003Cem>Katerina Siira y Marine Collins Ragnet, codirectoras del Programa de Investigación y Educación para la Paz de la NYU\u003C\u002Fem>\u003C\u002Fp>\n\u003Cp dir=\"ltr\">El \u003Ca href=\"#\">jurado\u003C\u002Fa>, compuesto por diversos expertos del ámbito de la tecnología, la sociedad civil, el mundo académico y las organizaciones internacionales, también otorgó cuatro distinciones honoríficas. Entre ellas se incluyen:\u003C\u002Fp>\n\u003Cp dir=\"ltr\">\u003Cem>\u003Cstrong>Desarrollo de un repositorio común de datos:\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 de Open Knowledge Brasil\u003C\u002Fa>: \u003C\u002Fstrong>La iniciativa de Open Knowledge Brasil convierte los boletines oficiales municipales en conjuntos de datos legibles por IA, lo que fomenta la transparencia, la supervisión ciudadana y la gobernanza inclusiva en todo Brasil.\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 y Arkology Studio están creando un repositorio de datos para más de 5000 asentamientos informales en 18 países africanos, integrando historias orales y datos estructurados para promover el aprendizaje entre pares y las prácticas de datos inclusivas.\u003C\u002Fp>\n\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Cp>\u003Cstrong> \u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp dir=\"ltr\">\u003Cstrong>\u003Cem>Mejora de un repositorio común de datos\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\">El PLACE Hub de la Fundación PLACE en Nigeria\u003C\u002Fa>: \u003C\u002Fstrong>Con financiación de ThisisPLACE, PLACE está replicando su modelo de eficacia probada en otras regiones en Abuja (Nigeria) para ampliar su infraestructura de datos espaciales impulsada por la comunidad y hacer posible una IA responsable para la planificación urbana, la respuesta ante desastres y el desarrollo de infraestructuras en 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» del Consejo Global de Litigios Estratégicos\u003C\u002Fa>: T\u003C\u002Fstrong>La base de datos de casos sobre movilidad climática: decenas de millones de personas se ven desplazadas cada año por la crisis climática. La Base de datos de casos de movilidad climática utiliza la inteligencia artificial para sintetizar la compleja jurisprudencia mundial sobre el desplazamiento climático en conocimiento accesible y multilingüe. Al sintetizar las lecciones aprendidas de los tribunales de todo el mundo, esta plataforma abierta dota a las comunidades, los profesionales y los responsables políticos de las herramientas necesarias para defender los derechos, reforzar la defensa de los intereses y impulsar la reforma de las políticas en favor de las personas en situación de riesgo y desplazadas por el clima en todo el mundo. Desarrollada por el Consejo Global de Litigios Estratégicos, en colaboración con Earth Refuge, el Instituto Raoul Wallenberg y el Instituto Zolberg.\u003Cstrong>\u003Cbr>\u003C\u002Fstrong>\u003C\u002Fp>\n\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Ch3 dir=\"ltr\">Próximos pasos\u003C\u002Fh3>\n\u003Cp dir=\"ltr\">El New Commons Challenge no solo consiste en reconocer a los innovadores, sino también en construir un ecosistema más amplio para los datos comunes. La siguiente fase incluirá:\u003C\u002Fp>\n\u003Cul>\n\u003Cli dir=\"ltr\" aria-level=\"1\">\n\u003Cp dir=\"ltr\" role=\"presentation\">\u003Cstrong>Apoyo de la incubadora: \u003C\u002Fstrong>Proporcionar a los equipos ganadores tutoría, asistencia técnica y oportunidades de aprendizaje entre pares para perfeccionar y ampliar sus datos comunes.\u003C\u002Fp>\n\u003C\u002Fli>\n\u003Cli dir=\"ltr\" aria-level=\"1\">\n\u003Cp dir=\"ltr\" role=\"presentation\">\u003Cstrong>Repositorio de ejemplos: \u003C\u002Fstrong>Ampliar nuestra biblioteca abierta y en constante evolución de proyectos de datos comunes en todo el mundo, ofreciendo a los responsables políticos, profesionales y financiadores un recurso para aprender de modelos probados.\u003C\u002Fp>\n\u003C\u002Fli>\n\u003Cli dir=\"ltr\" aria-level=\"1\">\n\u003Cp dir=\"ltr\" role=\"presentation\">\u003Cstrong>Plan de acción para el desarrollo de un conjunto de datos comunes:\u003C\u002Fstrong> Poner en práctica una guía práctica sobre cómo diseñar, gestionar y mantener conjuntos de datos comunes de manera que se ajusten a las expectativas de la comunidad y sirvan al interés público.\u003Cbr>\u003Cbr>\u003C\u002Fp>\n\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Cp dir=\"ltr\">En conjunto, estas iniciativas garantizarán que el Desafío vaya más allá de los premios, sentando las bases para un movimiento global de datos comunes que impulse una IA responsable en beneficio de la sociedad.\u003C\u002Fp>\n\u003Cp dir=\"ltr\">Para obtener más información sobre el New Commons Challenge y los galardonados de 2025, visite \u003Ca href=\"http:\u002F\u002Fnewcommons.ai\">newcommons.ai\u003C\u002Fa> o envíenos un correo electrónico a \u003Ca href=\"mailto:newcommons@opendatapolicylab.org\">newcommons@opendatapolicylab.org\u003C\u002Fa>. \u003C\u002Fp>\n\u003Cp>\u003Cem>Este contenido se tradujo automáticamente con 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","es\u002Fblogposts\u002Fbuilding-the-future-of-public-interest-ai-certi-amazonia-institute-and-nyu-peace-research-announced-as-winners-of-the-new-commons-challenge","NjVRAZllvdETauumV015hrHCo7LoJh7xC9xQ4CiPCn0",{"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_es\u002Fes\u002Fblogposts\u002Fsignals-of-demand-what-the-new-commons-challenge-tells-us-about-the-need-and-opportunity-of-data-commons.json","Fase 1","https:\u002F\u002Fcms.thegovlab.com\u002Fassets\u002Fb6d6aaa1-ef2c-499b-b2db-fc9b7dd0f139","2025-06-12","Señales de demanda: lo que nos revela el New Commons Challenge sobre la necesidad y la oportunidad de los bienes comunes de datos","\u003Cp dir=\"ltr\">La semana pasada cerramos el plazo de inscripción para nuestro \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 concurso de innovación abierta cuyo objetivo es fomentar el uso de los datos comunes para el desarrollo de la IA aplicada a la toma de decisiones a nivel local y a la respuesta humanitaria.\u003C\u002Fp>\n\u003Cp dir=\"ltr\">La respuesta al New Commons Challenge ha sido una clara señal del creciente interés por los datos comunes como catalizador de la IA de interés público y del impacto a nivel local. Entre abril y junio, recibimos \u003Cstrong>173 propuestas\u003C\u002Fstrong> de todo el mundo. \u003C\u002Fp>\n\u003Cp dir=\"ltr\">Aunque el Desafío se centró en dos áreas prioritarias —la respuesta humanitaria y la toma de decisiones a nivel local—, las propuestas abarcaron una amplia gama de tipos de datos y casos de uso.\u003C\u002Fp>\n\u003Cp dir=\"ltr\">A medida que avanzamos hacia la Fase Dos, estamos aprovechando el proceso de revisión actual como un ejercicio de escucha, lo que nos ayuda a evaluar el interés y el potencial de los datos comunes en todo el mundo. ¿Qué tipo de iniciativas están teniendo mayor repercusión entre los profesionales de la IA, los datos y otros ámbitos? ¿De dónde proviene este impulso y qué nos puede decir sobre el futuro emergente de la gobernanza colaborativa de los datos?\u003C\u002Fp>\n\u003Cp>\u003Cstrong> \u003C\u002Fstrong>\u003C\u002Fp>\n\u003Ch3 dir=\"ltr\">Geografía\u003C\u002Fh3>\n\u003Cp dir=\"ltr\">De las 173 propuestas presentadas, 154 cumplen los requisitos para la actual fase de revisión. Estas propuestas abarcan 51 países de todo el mundo y reflejan el amplio interés global en las iniciativas de datos comunes. \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>Resumen de las regiones de las que proceden las propuestas presentadas\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>Un mapa de las ciudades desde las que los solicitantes indicaron que presentaban propuestas\u003C\u002Fem>\u003C\u002Fp>\n\u003Cp>\u003Cem>\u003Cstrong> \u003C\u002Fstrong>\u003C\u002Fem>\u003C\u002Fp>\n\u003Cp dir=\"ltr\">Tipo de premio\u003C\u002Fp>\n\u003Cp dir=\"ltr\">Las candidaturas se dividen en dos categorías: 103 candidaturas (67 %) para el Premio 1, centrado en la creación de un nuevo conjunto de datos comunes, y 51 candidaturas (33 %) para el Premio 2, centrado en la mejora de un conjunto de datos comunes ya existente. \u003C\u002Fp>\n\u003Cp dir=\"ltr\">Todos los solicitantes deben estar afiliados a una organización consolidada, y las candidaturas proceden principalmente de organizaciones sin ánimo de lucro, empresas emergentes y organizaciones de investigación (universidades o instituciones de investigación).\u003C\u002Fp>\n\u003Ch3 dir=\"ltr\">Solicitantes \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>Desglose de los tipos de entidades que presentaron propuestas\u003C\u002Fem>\u003C\u002Fp>\n\u003Ch3 dir=\"ltr\">Datos y tipo de propuesta\u003C\u002Fh3>\n\u003Cp dir=\"ltr\">Casi todas las propuestas incluyen varios tipos de datos, pero los tipos de conjuntos de datos más comunes fueron:\u003C\u002Fp>\n\u003Cul>\n\u003Cli dir=\"ltr\" aria-level=\"1\">\n\u003Cp dir=\"ltr\" role=\"presentation\">Datos de texto o no estructurados (lenguaje y lingüística, datos jurídicos, investigación y educación, noticias y medios de comunicación, datos biomédicos)\u003C\u002Fp>\n\u003C\u002Fli>\n\u003Cli dir=\"ltr\" aria-level=\"1\">\n\u003Cp dir=\"ltr\" role=\"presentation\">Datos estructurados (p. ej., estadísticas nacionales, redes de sensores, datos administrativos)\u003C\u002Fp>\n\u003C\u002Fli>\n\u003Cli dir=\"ltr\" aria-level=\"1\">\n\u003Cp dir=\"ltr\" role=\"presentation\">Imágenes (p. ej., grafos de conocimiento, imágenes espaciales, obras de arte, visualizaciones de datos, conjuntos de datos geoespaciales)\u003C\u002Fp>\n\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Cp dir=\"ltr\">Muchas propuestas también incorporaban datos de audio y vídeo, lo que indica una clara ampliación de los tipos de datos que se están considerando para su uso en los datos comunes. Esta tendencia refleja un creciente reconocimiento de que los datos multimodales pueden ofrecer información valiosa, especialmente a la hora de diseñar sistemas de IA que respondan a las necesidades y contextos locales.\u003C\u002Fp>\n\u003Cp dir=\"ltr\">El New Commons Challenge está especialmente interesado en los datos comunes que apoyan la respuesta ante desastres o la toma de decisiones a nivel local. Alrededor de \u003Cstrong>75 propuestas \u003C\u002Fstrong>se centraron exclusivamente en apoyar la toma de decisiones a nivel local. De las\u003Cstrong> 69 propuestas presentadas en total\u003C\u002Fstrong> centradas en la respuesta humanitaria, la gran mayoría también abordaba cómo sus datos comunes apoyarían la toma de decisiones locales en la respuesta o prevención de crisis. \u003C\u002Fp>\n\u003Cp>\u003Cstrong> \u003C\u002Fstrong>\u003C\u002Fp>\n\u003Ch3 dir=\"ltr\">Próximos pasos: Fase dos\u003C\u002Fh3>\n\u003Cp dir=\"ltr\">Una vez concluida nuestra revisión de las notas conceptuales de la Fase Uno, se invitará a los solicitantes seleccionados a presentar una propuesta completa en la que describan su caso de uso y su implementación. Un \u003Ca href=\"#\">grupo interdisciplinario\u003C\u002Fa> evaluará las propuestas en cuanto a viabilidad, innovación y potencial de impacto. \u003C\u002Fp>\n\u003Cp dir=\"ltr\">De entre las candidaturas preseleccionadas, dos equipos recibirán cada uno una financiación de 100 000 dólares, además de tutoría, oportunidades de networking y visibilidad global para apoyar la ejecución de sus datos comunes.\u003C\u002Fp>\n\u003Cp dir=\"ltr\">Las decisiones se tomarán en los próximos meses. Para obtener más información sobre The New Commons Challenge, puede visitar \u003Ca href=\"http:\u002F\u002Fnewcommons.ai\">newcommons.ai\u003C\u002Fa>. \u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>\n\u003Cp>\u003Cem>Este contenido se tradujo automáticamente con DeepL.\u003C\u002Fem>\u003C\u002Fp>",{},"signals-of-demand-what-the-new-commons-challenge-tells-us-about-the-need-and-opportunity-of-data-commons","es\u002Fblogposts\u002Fsignals-of-demand-what-the-new-commons-challenge-tells-us-about-the-need-and-opportunity-of-data-commons","Con más de 170 candidatos repartidos por seis continentes y un sinfín de sectores, queda claro que existe una necesidad urgente de recursos para desarrollar bases de datos compartidas.","9ozps4_sXyjbUOeK8lBr06bsHhmlvIOaagYoCmdyyNs",{"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_es\u002Fes\u002Fblogposts\u002Fdata-commons-the-missing-infrastructure-for-public-interest-artificial-intelligence.json","Artículo de opinión","https:\u002F\u002Fcms.thegovlab.com\u002Fassets\u002Fa4e98f26-c3b5-49f2-9ea3-e5252b3916ae","2025-04-29","Bienes comunes de datos: la infraestructura que falta para una inteligencia artificial de interés público","\u003Cp id=\"ember53\" class=\"ember-view reader-text-block__paragraph\">\u003Cem>Stefaan Verhulst (cofundador de The GovLab y The Data Tank, profesor investigador \u003C\u002Fem>\u003Ca class=\"IfLmRNJWDKWJahDEmDaCEOnDSeXHtBgyBFDsa \" tabindex=\"0\" href=\"https:\u002F\u002Fwww.linkedin.com\u002Fschool\u002Fnyutandonschoolofengineering\u002F\" data-test-app-aware-link=\"\"> de la Escuela de Ingeniería Tandon de la Universidad de Nueva York \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>(vicepresidente y consejero general adjunto del Grupo de Propiedad Intelectual de \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>(Vicepresidente de Investigación y Análisis de \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\">La inteligencia artificial es \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=\"\">aclamada\u003C\u002Fa> como la tecnología definitoria de nuestra época. Desde ChatGPT hasta Copilot y más allá, los sistemas de IA generativa están transformando la forma en que trabajamos, aprendemos y gobernamos. Pero detrás de los avances que acaparan los titulares se esconde un problema fundamental: Los datos de los que dependen estos sistemas para producir resultados útiles que sirvan al interés público están cada vez más fuera de nuestro alcance.\u003C\u002Fp>\n\u003Cp id=\"ember59\" class=\"ember-view reader-text-block__paragraph\">Sin acceso a conjuntos de datos diversos y de alta calidad, los modelos de IA corren el riesgo de reforzar los sesgos, agravar la desigualdad y ofrecer resultados menos precisos y más imprecisos. Sin embargo, el acceso a los datos sigue estando fragmentado, aislado y cada vez más restringido. Lo que antes era abierto —\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=\"\">registros gubernamentales\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=\"\">investigación científica\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=\"\">medios de comunicación públicos\u003C\u002Fa>— ahora está bloqueado por condiciones de propiedad, políticas obsoletas o simple negligencia. Estamos entrando en 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=\"\">invierno de datos\u003C\u002Fa> justo cuando la influencia de la IA en la vida pública se está intensificando.\u003C\u002Fp>\n\u003Cp id=\"ember60\" class=\"ember-view reader-text-block__paragraph\">Esto no es solo un fallo técnico. Es un fallo estructural. Lo que necesitamos urgentemente es una nueva infraestructura: \u003Cstrong>bienes comunes de datos (data commons)\u003C\u002Fstrong>.\u003C\u002Fp>\n\u003Cp id=\"ember61\" class=\"ember-view reader-text-block__paragraph\">Un «bien común de datos» es un conjunto compartido de recursos de datos —gobernado de forma responsable, gestionado mediante enfoques participativos y puesto a disposición para su reutilización en interés público. Si se hace correctamente, los bienes comunes pueden garantizar que las comunidades y otras redes \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=\"\">tengan voz y voto\u003C\u002Fa> sobre cómo se utilizan sus datos, que las organizaciones de interés público puedan acceder a los datos que necesitan y que los beneficios de la IA se puedan aplicar para hacer frente a los retos sociales.\u003C\u002Fp>\n\u003Cp id=\"ember62\" class=\"ember-view reader-text-block__paragraph\">Los bienes comunes ofrecen una respuesta práctica a la paradoja de la escasez de datos en medio de la abundancia. Al poner en común conjuntos de datos entre organizaciones —gobiernos, universidades, bibliotecas y otras— hacen coincidir la oferta de datos con la demanda del mundo real, lo que facilita la creación de una IA que responda a las necesidades públicas.\u003C\u002Fp>\n\u003Cp id=\"ember63\" class=\"ember-view reader-text-block__paragraph\">Ya estamos viendo los primeros indicios de cómo podría ser ese futuro. Proyectos como \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> y la \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> muestran cómo diversas instituciones pueden colaborar para que los datos sean accesibles y responsables. Estas iniciativas hacen hincapié en los estándares abiertos, la gobernanza participativa y la reutilización responsable. Cuestionan la idea de que los datos deban estar bloqueados o dejarse desprotegidos, ofreciendo una tercera vía basada en el valor compartido y el interés público.\u003C\u002Fp>\n\u003Cp id=\"ember64\" class=\"ember-view reader-text-block__paragraph\">Pero el ritmo del progreso no se ajusta a la urgencia del momento. Mientras los responsables políticos debaten la regulación de la IA, a menudo ignoran la infraestructura que hace posible, en primer lugar, las aplicaciones de interés público. Sin un mejor acceso a datos de alta calidad y gestionados de forma responsable, la IA para el bien común seguirá siendo más una aspiración que una realidad.\u003C\u002Fp>\n\u003Cp id=\"ember65\" class=\"ember-view reader-text-block__paragraph\">Por eso lanzamos \u003Ca class=\"IfLmRNJWDKWJahDEmDaCEOnDSeXHtBgyBFDsa \" tabindex=\"0\" href=\"https:\u002F\u002Fnewcommons.ai\u002F\" target=\"_self\" data-test-app-aware-link=\"\">\u003Cstrong>El New Commons Challenge\u003C\u002Fstrong>\u003C\u002Fa>—una llamada a la acción dirigida a universidades, bibliotecas, la sociedad civil y los tecnólogos para crear ecosistemas de datos que impulsen la IA de interés público. La iniciativa financiará dos proyectos ganadores con 100 000 dólares cada uno para crear prototipos de bienes comunes centrados en áreas críticas como la respuesta ante desastres y la toma de decisiones a nivel local. Ha conseguido un apoyo fundamental de líderes en estos campos, con \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> y la \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 Biblioteca de la Facultad de Derecho de Harvard como socios y \u003Ca class=\"IfLmRNJWDKWJahDEmDaCEOnDSeXHtBgyBFDsa \" tabindex=\"0\" href=\"https:\u002F\u002Fwww.unesco.org\u002Fen\" target=\"_self\" data-test-app-aware-link=\"\">UNESCO\u003C\u002Fa> como observador.\u003C\u002Fp>\n\u003Cp id=\"ember66\" class=\"ember-view reader-text-block__paragraph\">El New Commons Challenge tiene como objetivo poner en primer plano este enfoque estructural y guiado por la comunidad. Imaginemos herramientas de IA que puedan ayudar a las ciudades a planificar ante inundaciones, mejorar la respuesta a las crisis o proporcionar orientación contextual a organizaciones de interés público, no solo en capitales prósperas, sino también en regiones desatendidas de todo el mundo. Estas aplicaciones son posibles, pero solo si se dispone de los datos adecuados para entrenarlas y mantenerlas.\u003C\u002Fp>\n\u003Cp id=\"ember67\" class=\"ember-view reader-text-block__paragraph\">Por eso son tan esenciales los datos comunes y el New Commons Challenge.\u003C\u002Fp>\n\u003Cp id=\"ember68\" class=\"ember-view reader-text-block__paragraph\">Si queremos una IA que funcione en interés del público, debemos invertir en la infraestructura que lo haga posible. Un patrimonio común de datos no es una idea utópica. Es una base práctica para la innovación que refleja —y sirve a— la diversidad de la experiencia humana. El patrimonio común no se construirá solo. Pero juntos, podemos construirlo a tiempo.\u003C\u002Fp>\n\u003Cp>\u003Cem>Este contenido se tradujo automáticamente con DeepL.\u003C\u002Fem>\u003C\u002Fp>",{},"data-commons-the-missing-infrastructure-for-public-interest-artificial-intelligence","es\u002Fblogposts\u002Fdata-commons-the-missing-infrastructure-for-public-interest-artificial-intelligence","El «invierno de los datos» no es solo un problema técnico. Es un fallo estructural. Lo que necesitamos con urgencia es una nueva infraestructura: los bienes comunes de datos.","0nLIVNj83-o7v7Me3Mm7u3PppuJMSTHKgWb9O6yqfrk",{"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_es\u002Fes\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","New Commons Challenge: impulsar la IA para el bien público a través de los bienes comunes de datos","\u003Cp>\u003Cstrong id=\"docs-internal-guid-cfd79097-7fff-cb4f-2c82-1906a0ff7c5c\">PARA SU PUBLICACIÓN INMEDIATA\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp dir=\"ltr\">\u003Cstrong>200 000 dólares de financiación disponibles para iniciativas innovadoras de datos compartidos que mejoren la toma de decisiones a nivel local y la respuesta ante desastres\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp dir=\"ltr\">\u003Cstrong>CIUDAD DE NUEVA YORK, Nueva York\u003C\u002Fstrong>—El Open Data Policy Lab, una colaboración entre The GovLab de la Universidad de Nueva York y Microsoft, ha lanzado el \u003Cstrong>New Commons Challenge\u003C\u002Fstrong>, una iniciativa para promover la reutilización responsable de datos en soluciones basadas en IA que mejoren la toma de decisiones a nivel local y la respuesta humanitaria. \u003C\u002Fp>\n\u003Cp dir=\"ltr\">El Challenge otorgará a las dos instituciones ganadoras \u003Cstrong>100 000 dólares cada una \u003C\u002Fstrong>para desarrollar datos comunes que impulsen la innovación responsable en IA en estas áreas críticas.\u003C\u002Fp>\n\u003Cp dir=\"ltr\">Con el uso cada vez mayor de la IA generativa en la gestión de crisis, la preparación ante desastres y la toma de decisiones a nivel local, el acceso a datos diversos y de alta calidad nunca ha sido tan esencial. \u003C\u002Fp>\n\u003Cp dir=\"ltr\">El New Commons Challenge busca apoyar a organizaciones —incluidas empresas emergentes, organizaciones sin ánimo de lucro, ONG, universidades, bibliotecas y desarrolladores de IA— para crear ecosistemas de datos compartidos que mejoren los resultados en el mundo real, desde la salud pública hasta la respuesta ante emergencias.\u003C\u002Fp>\n\u003Cp dir=\"ltr\">\u003Cstrong>Tendiendo puentes entre la investigación y el impacto en el mundo real\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp dir=\"ltr\">«El New Commons Challenge consiste en poner los datos en práctica», afirmó Stefaan Verhulst, cofundador y director de Investigación y Desarrollo de The GovLab. «Al facilitar nuevos modelos de gestión de datos, nuestro objetivo es apoyar aplicaciones de IA que salven vidas, fortalezcan las comunidades y mejoren la toma de decisiones a nivel local donde más importa».\u003C\u002Fp>\n\u003Cp dir=\"ltr\">El Desafío se basa en el reciente informe del Open Data Policy Lab, «\u003Cstrong>Plan para desbloquear nuevos bienes comunes de datos para la IA\u003C\u002Fstrong>», que aboga por la creación de ecosistemas de datos gobernados de forma colaborativa que apoyen el desarrollo responsable de la IA.\u003C\u002Fp>\n\u003Cp dir=\"ltr\">\u003Cstrong>Cómo funciona el Desafío\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp dir=\"ltr\">El desafío se desarrolla en dos fases: \u003Cstrong>Fase uno: convocatoria abierta de notas conceptuales (14 de abril – 2 de junio de 2025)\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp dir=\"ltr\">Se invita a innovadores de todo el mundo a presentar notas conceptuales en las que describan sus ideas. \u003Cstrong>Fase dos: Presentación de propuestas completas y revisión por expertos (junio de 2025)\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cul>\n\u003Cli dir=\"ltr\" aria-level=\"1\">\n\u003Cp dir=\"ltr\" role=\"presentation\">Se invitará a los solicitantes seleccionados a presentar una propuesta completa\u003C\u002Fp>\n\u003C\u002Fli>\n\u003Cli dir=\"ltr\" aria-level=\"1\">\n\u003Cp dir=\"ltr\" role=\"presentation\">Un panel interdisciplinario evaluará las propuestas en función de su potencial de impacto, viabilidad y gobernanza ética.\u003C\u002Fp>\n\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Cp dir=\"ltr\">\u003Cstrong>Anuncio de los ganadores a finales del verano de 2025\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp dir=\"ltr\">Los dos proyectos seleccionados recibirán cada uno una financiación de 100 000 dólares, además de apoyo técnico, tutoría y reconocimiento mundial.\u003C\u002Fp>\n\u003Cp dir=\"ltr\">«La IA generativa solo puede ser tan potente como los datos en los que se basa. Microsoft se compromete a promover un acceso equitativo a los datos públicos que permita soluciones de IA eficaces y representativas en todo el mundo», afirmó Burton Davis, vicepresidente y consejero general adjunto de Microsoft.\u003C\u002Fp>\n\u003Cp dir=\"ltr\">\u003Cstrong>Una coalición de apoyo en expansión\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp dir=\"ltr\">El desafío cuenta con el respaldo de instituciones líderes comprometidas con la IA ética y los datos abiertos. Entre los socios se incluyen \u003Cstrong>Direct Relief \u002F CrisisReady,\u003C\u002Fstrong> y \u003Cstrong>la Biblioteca de la Facultad de Derecho de Harvard\u003C\u002Fstrong>, y \u003Cstrong>la UNESCO \u003C\u002Fstrong>como observador internacional, que aportará conocimientos especializados y apoyo en la evaluación.\u003C\u002Fp>\n\u003Cp dir=\"ltr\">«Estamos asistiendo a un auge de las herramientas basadas en la IA para la respuesta ante desastres y la resiliencia climática», afirmó \u003Cstrong>Andrew Schroeder, vicepresidente de Investigación y Análisis de Direct Relief y codirector del proyecto CrisisReady con la Iniciativa de Ciencia de Datos de Harvard\u003C\u002Fstrong>. «Para que estas herramientas generen un beneficio público real, requieren \u003Cstrong>conjuntos de datos diversos y de alta calidad\u003C\u002Fstrong>, que es precisamente lo que impulsa el New Commons Challenge».\u003C\u002Fp>\n\u003Cp dir=\"ltr\">La Biblioteca de la Facultad de Derecho de Harvard \u003Cstrong>Greg Leppert, director ejecutivo de la Iniciativa de Datos Institucionales\u003C\u002Fstrong>, añadió: «Ampliar el acceso a los datos es clave para garantizar que, a medida que crece el potencial de la IA, toda la humanidad se vea empoderada con ello. Nuestro trabajo con las bibliotecas para publicar vastas colecciones de datos de conocimiento nace de los mismos principios de interés público que animan este Desafío.”\u003C\u002Fp>\n\u003Cp dir=\"ltr\">La UNESCO \u003Cstrong>Guilherme Canela de Souza Godoi, director de la División de Inclusión Digital, Políticas y Transformación Digital\u003C\u002Fstrong>, destacó las implicaciones más amplias: «Tal y como hemos venido subrayando en varias recomendaciones y directrices multilaterales, la innovación debe guiarse por enfoques éticos y basados en los derechos humanos. El New Commons Challenge ofrece un marco concreto sobre cómo la colaboración en materia de datos puede alinear la IA con las necesidades de la sociedad.”\u003C\u002Fp>\n\u003Ch3 dir=\"ltr\">Únete al desafío\u003C\u002Fh3>\n\u003Cp dir=\"ltr\">El New Commons Challenge ya está abierto a inscripciones. Los participantes interesados pueden encontrar más detalles, incluidas las directrices completas del desafío, en\u003Cstrong> \u003Ca href=\"http:\u002F\u002Fnewcommons.ai\">newcommons.ai\u003C\u002Fa>.\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp dir=\"ltr\">Para cualquier consulta, ponte en contacto con: \u003Cstrong>newcommons@opendatapolicylab.org.\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp>\u003Cem>Este contenido se tradujo automáticamente con DeepL.\u003C\u002Fem>\u003C\u002Fp>",{},"the-new-commons-challenge-advancing-ai-for-public-good-through-data-commons","es\u002Fblogposts\u002Fthe-new-commons-challenge-advancing-ai-for-public-good-through-data-commons","El Open Data Policy Lab —una iniciativa conjunta de Microsoft y The GovLab— busca ideas interesantes sobre cómo se podrían utilizar los datos abiertos para impulsar la inteligencia artificial en la toma de decisiones a nivel local y la inteligencia artificial generativa.","gv4IZwTROtRH6uheOVFwZXsEHPP-Bj9nEx0pa3NWhwk",{"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_es\u002Fes\u002Fblogposts\u002Flaunch-a-blueprint-to-unlock-new-data-commons-for-artificial-intelligence.json","Nueva publicación","https:\u002F\u002Fcms.thegovlab.com\u002Fassets\u002F9250c6dd-f1ea-420f-9bb0-cce6a4b619e0","2025-03-11","Lanzamiento: un plan para crear nuevos repositorios de datos compartidos para la inteligencia artificial","\u003Cp dir=\"ltr\">En el panorama actual de la IA, en rápida evolución, es fundamental ampliar el acceso a datos diversos y de alta calidad para garantizar que las aplicaciones de IA puedan servir a todas las comunidades de manera equitativa. Sin embargo, nos encontramos al borde de un posible «\u003Ca href=\"https:\u002F\u002Fsverhulst.medium.com\u002Fare-we-entering-a-data-winter-f654eb8e8663\">invierno de datos\u003C\u002Fa>», en el que los valiosos activos de datos que podrían impulsar el bien público están cada vez más bloqueados o son inaccesibles. \u003C\u002Fp>\n\u003Cp dir=\"ltr\">Los datos comunes —ecosistemas gestionados de forma colaborativa que permiten el intercambio responsable de conjuntos de datos diversos entre sectores— ofrecen una solución prometedora. Al poner en común los datos bajo normas claras y una gobernanza compartida, los datos comunes pueden liberar el potencial de la IA en beneficio del bien público, al tiempo que garantizan que su desarrollo refleje la diversidad de experiencias y necesidades de toda la sociedad.\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\">Para acelerar la creación de datos comunes, The Open Data Policy Lab publica hoy «\u003Ca href=\"https:\u002F\u002Fincubator.opendatapolicylab.org\u002Ffiles\u002Fdata-commons-for-ai-blueprint.pdf\">Un plan para desbloquear nuevos datos comunes para la IA\u003C\u002Fa>”—una guía sobre cómo gestionar los datos para crear datos comunes que permitan casos de uso de la IA de interés público. \u003C\u002Fp>\n\u003Cp dir=\"ltr\">El documento, escrito conjuntamente por Hannah Chafetz, Andrew J. Zahuranec y Stefaan Verhulst, tiene como objetivo apoyar a bibliotecas, universidades, centros de investigación y otros poseedores de datos (por ejemplo, gobiernos y organizaciones sin ánimo de lucro) a través de cuatro módulos:\u003C\u002Fp>\n\u003Cul>\n\u003Cli dir=\"ltr\" aria-level=\"1\">\n\u003Cp dir=\"ltr\" role=\"presentation\">\u003Cstrong>Mapeo de la demanda y la oferta\u003C\u002Fstrong>: Comprender por qué los sistemas de IA necesitan datos, qué datos pueden ponerse a disposición para entrenar, adaptar o mejorar la IA, y cómo podría ser un prototipo viable de datos comunes que incorpore las necesidades y los valores de las partes interesadas;\u003C\u002Fp>\n\u003C\u002Fli>\n\u003Cli dir=\"ltr\" aria-level=\"1\">\n\u003Cp dir=\"ltr\" role=\"presentation\">\u003Cstrong>Impulsar la gobernanza participativa\u003C\u002Fstrong>: Diseñar conjuntamente los aspectos clave de los datos comunes con las principales partes interesadas y documentar dichos aspectos en un acuerdo formal;\u003C\u002Fp>\n\u003C\u002Fli>\n\u003Cli dir=\"ltr\" aria-level=\"1\">\n\u003Cp dir=\"ltr\" role=\"presentation\">\u003Cstrong>Creación de los bienes comunes\u003C\u002Fstrong>: Establecer los bienes comunes de datos desde una perspectiva práctica y garantizar que todas las partes interesadas tengan incentivos para implementarlos; y\u003C\u002Fp>\n\u003C\u002Fli>\n\u003Cli dir=\"ltr\" aria-level=\"1\">\n\u003Cp dir=\"ltr\" role=\"presentation\">\u003Cstrong>Evaluación y iteración\u003C\u002Fstrong>: Evaluar cómo funciona el patrimonio común e iterar según sea necesario.\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\">Estos módulos se complementan con dos \u003Ca href=\"https:\u002F\u002Fincubator.opendatapolicylab.org\u002Ffiles\u002Fappendix%20b.pdf\">taxonomías suplementarias\u003C\u002Fa>. «La taxonomía de tipos de datos» ofrece una lista de tipos de datos que pueden resultar valiosos para casos de uso de IA generativa de interés público. La «Taxonomía de casos de uso» describe aplicaciones de IA generativa de interés público que pueden desarrollarse utilizando un enfoque de datos comunes, junto con los posibles resultados y las partes interesadas implicadas. \u003C\u002Fp>\n\u003Cp dir=\"ltr\">Se puede utilizar un conjunto independiente de \u003Ca href=\"https:\u002F\u002Fincubator.opendatapolicylab.org\u002Ffiles\u002Fappendix%20a_fillable.pdf\">hojas de trabajo\u003C\u002Fa> para orientar aún más a las organizaciones en la implementación de estas herramientas.\u003C\u002Fp>\n\u003Cp dir=\"ltr\">Esperamos que estos recursos ofrezcan un punto de partida significativo para las organizaciones que deseen aprovechar los datos que pueden utilizarse para la IA generativa en pro del bien público. El plan de acción pretende ser un documento vivo que se actualizará con el tiempo para reflejar los nuevos avances y conocimientos en este panorama en rápida evolución.\u003C\u002Fp>\n\u003Cp dir=\"ltr\">Póngase en contacto con nosotros en \u003Ca href=\"mailto:datastewards@thegovlab.org\">datastewards@thegovlab.org\u003C\u002Fa> si utiliza alguno de estos materiales o cualquiera de nuestras otras \u003Ca href=\"https:\u002F\u002Ftools.opendatapolicylab.org\u002F\">herramientas\u003C\u002Fa> para apoyar su trabajo o si tiene alguna pregunta. ¿Quiere mantenerse al día de futuros lanzamientos? Regístrese \u003Ca href=\"https:\u002F\u002Fthegovlab.us6.list-manage.com\u002Fsubscribe?u=1a990feb5c&id=bc6d09925f\">AQUÍ\u003C\u002Fa>.\u003C\u002Fp>\n\u003Cp data-block-key=\"ap6d3\"> \u003C\u002Fp>\n\u003Cp>\u003Cem>Este contenido se tradujo automáticamente con DeepL.\u003C\u002Fem>\u003C\u002Fp>",{},"launch-a-blueprint-to-unlock-new-data-commons-for-artificial-intelligence","es\u002Fblogposts\u002Flaunch-a-blueprint-to-unlock-new-data-commons-for-artificial-intelligence","Con el fin de acelerar la creación de recursos de datos compartidos, The Open Data Policy Lab publica hoy «Un plan para impulsar nuevos recursos de datos compartidos para la IA», una guía sobre cómo gestionar los datos para crear recursos de datos compartidos que permitan casos de uso de la IA en interés público. ","x-7THjAHBet94A7INezUdUB4-VhVul42VvUcHDR5BL0",{"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]