Vocabularies for Publishing Research Data. Issue 1 (2nd January 2022)

• Record Type: Journal Article
• Authors: Tomoyose, Kazumi; Arakaki, Ana Carolina Simionato
• Is Part Of: Cataloging & classification quarterly. Volume 60:Issue 1(2022)
• Page Start: 69
• Page End: 85
• Publication Date: 2022-01-02
• Subjects: Data Catalog Vocabulary (DCAT) -- controlled vocabularies -- research data -- information representation -- metadata standards; Cataloging -- Periodicals; Classification -- Books -- Periodicals; 025.3
• DOI: 10.1080/01639374.2021.2011812
• Languages: English
• ISSNs: 0163-9374

Abstract

ABSTRACT: Research data are essential for the development of science, and one of the issues to be addressed is its organization and representation. Based on these basic concepts of Information Science, we seek to explore the Data Catalog Vocabulary (DCAT) and the vocabularies used by it in the context of research data publication. We assert that the use of metadata vocabularies to represent research data is necessary to improve access, findability, interoperability, and the retrieval of datasets. We verify that DCAT enables the standardization of catalogs and datasets through specific terms for this purpose, presenting itself as an adequate vocabulary to represent the research data.