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FAIR Metadata: A Community-driven Vocabulary Application

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arxiv 2111.03910 v1 pith:YUKHSTHU submitted 2021-11-06 cs.DL cs.IR

Christopher B. Rauch (1) , Mat Kelly (1) , John A. Kunze (2) , Jane Greenberg (1) ((1) Drexel University College of Computing , Informatics , Philadelphia , PA , USA
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(2) California Digital Library University of California Oakland CA USA)
This is my paper · ORCID
classification cs.DLcs.IR
keywords fairmetadataapplicationcommunity-drivensupportsvocabularyyamzanother
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FAIR metadata is critical to supporting FAIR data overall. Transparency, community engagement, and flexibility are key aspects of FAIR that apply to metadata. This paper presents YAMZ (Yet Another Metadata Zoo), a community-driven vocabulary application that supports FAIR. The history ofYAMZ and its original features are reviewed, followed by a presentation of recent innovations and a discussion of how YAMZ supports FAIR principles. The conclusion identifies next steps and key outputs.

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