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Building a Disciplinary, World-Wide Data Infrastructure
2017
Data Science Journal
Sharing scientific data, with the objective of making it fully discoverable, accessible, assessable, intelligible, usable, and interoperable, requires work at the disciplinary level to define in particular how the data should be formatted and described. Each discipline has its own organization and history as a starting point, and this paper explores the way a range of disciplines, namely materials science, crystallography, astronomy, earth sciences, humanities and linguistics get organized at
doi:10.5334/dsj-2017-016
fatcat:6mk3q6qqsvclrc3rmwuhp25x74