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FAIR for Machine Learning (FAIR4ML) IG rev-002

FAIR for Machine Learning (FAIR4ML) IG

Group Details
The idea of FAIR (findable, accessible, interoperable, and reusable) in the context of scientific data management and stewardship was developed in 2014 and turned into specific principles in 2016[1]. Along the way, the idea was generalized in concept to apply to both data and other digital scholarly objects, but it has become clear in practice…
March 27, 2024