Journal article
Metadata Quality in Digital Repositories: A Survey of the Current State of the Art
Cataloging & classification quarterly, v 47(3-4), pp 213-228
09 Apr 2009
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
This study presents the current state of research and practice on metadata quality through focus on the functional perspective on metadata quality, measurement, and evaluation criteria coupled with mechanisms for improving metadata quality. Quality metadata reflect the degree to which the metadata in question perform the core bibliographic functions of discovery, use, provenance, currency, authentication, and administration. The functional perspective is closely tied to the criteria and measurements used for assessing metadata quality. Accuracy, completeness, and consistency are the most common criteria used in measuring metadata quality in the literature. Guidelines embedded within a Web form or template perform a valuable function in improving the quality of the metadata. Results of the study indicate a pressing need for the building of a common data model that is interoperable across digital repositories.
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Details
- Title
- Metadata Quality in Digital Repositories: A Survey of the Current State of the Art
- Creators
- Jung-Ran Park - Drexel University
- Publication Details
- Cataloging & classification quarterly, v 47(3-4), pp 213-228
- Publisher
- Taylor & Francis Group
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Information Science
- Web of Science ID
- WOS:000210517400002
- Scopus ID
- 2-s2.0-70350041234
- Other Identifier
- 991014877953704721
UN Sustainable Development Goals (SDGs)
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- Web of Science research areas
- Information Science & Library Science