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Stories about the FAIR principles in practice, for scientists who want to compound their impacts, not their errors.
I interview Shreyas Cholia, currently at the Lawrence Berkeley National Laboratory in Berkeley, California.
Topics we spoke about included: data lifecycles, edge computing for data firehoses, provenance,
standards, broad versus detailed domain vocabularies, scope for common APIs, and identifier
leveling.
Machine-Centric Science
Stories about the FAIR principles in practice, for scientists who want to compound their impacts, not their errors.
