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What is FAIR?
FAIR principles make research Findable, Accessible, Interoperable, and Reusable. Each output includes DataCite metadata for findability, MLCommons Croissant specs for ML frameworks, Schema.org JSON-LD for the semantic web, and full provenance for reproducibility.
