FAIR Metadata: A Community-driven Vocabulary Application

التفاصيل البيبلوغرافية
العنوان: FAIR Metadata: A Community-driven Vocabulary Application
المؤلفون: Rauch, Christopher B., Kelly, Mat, Kunze, John A., Greenberg, Jane
سنة النشر: 2021
المجموعة: Computer Science
مصطلحات موضوعية: Computer Science - Digital Libraries, Computer Science - Information Retrieval, H.3.7
الوصف: 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.
نوع الوثيقة: Working Paper
URL الوصول: http://arxiv.org/abs/2111.03910
رقم الأكسشن: edsarx.2111.03910
قاعدة البيانات: arXiv