# FAIR Metadata: A Community-driven Vocabulary Application

arXiv: https://arxiv.org/abs/2111.03910 · HTML: https://mlsanity.com/paper/2111.03910/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 6 Nov 2021.

## Built on by (most cited first, 1 of 1)

- [Human-in-the-Loop and AI: Crowdsourcing Metadata Vocabulary for Materials Science](https://mlsanity.com/paper/2512.09895/) (2025)

## Abstract (arXiv)

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.