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The Open Knowledge Foundation (OKFN) and datHere have announced a new collaboration focused on advancing open, FAIR, and AI-ready data infrastructure. The work builds on existing cooperation between the two organisations and reflects a shared interest in strengthening open standards, practices, and tooling across the data ecosystem.
A central element of this collaboration is a continued commitment to CKAN, the open-source data management system used by governments, research institutions, and organisations worldwide to publish and manage data. CKAN provides a stable foundation for making data findable, accessible, interoperable, and reusable, supporting a wide range of public-interest use cases.
The collaboration is intended to support practical coordination around shared challenges, including data quality, interoperability, and readiness for reuse in analytics and emerging computational contexts. Activities described by the partners include structured exchange, joint exploration of shared services, and alignment with ongoing open-source initiatives such as the NSF-funded Pathways to Enable Open Source Ecosystems (POSE) program.
From the CKAN Project’s perspective, work that contributes to open standards, reusable infrastructure, and shared learning — when conducted in the open — helps strengthen the broader ecosystem around CKAN. As the project approaches its 20th anniversary, such collaboration reflects the continued relevance of open, community-driven infrastructure in supporting trustworthy data use across sectors.
For further details, see the original announcement from the Open Knowledge Foundation:
→ Open Knowledge Foundation and datHere Announce New Partnership to Strengthen Open, FAIR, AI-Ready Data Infrastructure Powered by CKAN
How open-source, responsible AI, and digital public infrastructure shaped the conversation in Vitoria-Gasteiz.
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