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Book chapter
FAIR Metadata: A Community-Driven Vocabulary Application
Metadata and Semantic Research
01 Apr 2022
Featured in Collection : UN Sustainable Development Goals @ Drexel
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 of YAMZ 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.
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Details
- Title
- FAIR Metadata: A Community-Driven Vocabulary Application
- Creators
- Christopher B. Rauch - Drexel UniversityMat Kelly - Drexel UniversityJohn A. Kunze - California Digital LibraryJane Greenberg - Drexel University
- Publication Details
- Metadata and Semantic Research
- Series
- Communications in Computer and Information Science
- Publisher
- Springer International Publishing; Cham
- Resource Type
- Book chapter
- Language
- English
- Academic Unit
- Information Science
- Web of Science ID
- WOS:000934018400016
- Scopus ID
- 2-s2.0-85128490647
- Other Identifier
- 991019173776404721
UN Sustainable Development Goals (SDGs)
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Computer Science, Artificial Intelligence
- Computer Science, Information Systems
- Computer Science, Theory & Methods
- Information Science & Library Science