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The FAIR (Findable, Accessible, Interoperable, Reusable) principles are widely endorsed, but many research projects still struggle to turn them into concrete, repeatable implementation steps that scale beyond a single dataset, tool, or team. This two-part workshop convenes experts and practitioners working on FAIR-enabling infrastructure to compare approaches and jointly draft a reference implementation aspiring to address the challenges of our timeābe it in Biodiversity, AI & Health or beyond.
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