FAIR Metadata: A Community-driven Vocabulary Application
This work addresses metadata management for data sharing communities, but it appears incremental as it builds on existing concepts without introducing major new breakthroughs.
The paper tackles the problem of creating FAIR metadata by presenting YAMZ, a community-driven vocabulary application, and reviews its history, features, and innovations to support FAIR principles.
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.