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Interest Group
FAIR for Machine Learning (FAIR4ML) IG rev-002
Co-Chair(s): Fotis Psomopoulos, Daniel S. Katz, Daniel Garijo, Beatriz Serrano-Solano, Leyla Jael Castro, Anne Fouilloux, Curtis Sharma, Gnana Bharathy, Line Pouchard
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 20161 . 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…
May 13, 2024
Interest Group
FAIR for Machine Learning (FAIR4ML) IG
Co-Chair(s): Fotis Psomopoulos, Daniel S. Katz, Daniel Garijo, Beatriz Serrano-Solano, Leyla Jael Castro, Anne Fouilloux, Curtis Sharma, Gnana Bharathy, Line Pouchard
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