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FAIR Metadata: A Community-driven Vocabulary Application

Authors :
Rauch, Christopher B.
Kelly, Mat
Kunze, John A.
Greenberg, Jane
Publication Year :
2021

Abstract

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.

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2111.03910
Document Type :
Working Paper