FAIR Metadata: A Community-driven Vocabulary Application

FAIR Metadata: A Community-driven Vocabulary Application

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...

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Hauptverfasser: Rauch, Christopher B, Kelly, Mat, Kunze, John A, Greenberg, Jane
Format: Artikel
Sprache:eng
Schlagworte:
Computer Science - Digital Libraries
Computer Science - Information Retrieval
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Zusammenfassung: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.
DOI:10.48550/arxiv.2111.03910