English

FAIR Metadata: A Community-driven Vocabulary Application

Digital Libraries 2021-11-10 v1 Information Retrieval

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.

Cite

@article{arxiv.2111.03910,
  title  = {FAIR Metadata: A Community-driven Vocabulary Application},
  author = {Christopher B. Rauch and Mat Kelly and John A. Kunze and Jane Greenberg},
  journal= {arXiv preprint arXiv:2111.03910},
  year   = {2021}
}
R2 v1 2026-06-24T07:28:55.941Z