Journal article
Metadata Quality Control in Digital Repositories and Collections: Criteria, Semantics, and Mechanisms
Cataloging & classification quarterly, v 48(8), pp 696-715
27 Sep 2010
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
This article evaluates practices on metadata quality control in digital repositories and collections using an online survey of cataloging and metadata professionals in the United States. The study examines (1) the perceived importance of metadata quality, (2) metadata quality evaluation criteria and issues, and (3) mechanisms for building quality assurance into the metadata creation process. The survey finds wide recognition of the essential role of metadata quality assurance. Accuracy and consistency are prioritized as the main criteria for metadata quality evaluation. Metadata semantics greatly affects consistent and accurate metadata application. Strong awareness of metadata quality correlates with the widespread adoption of various quality control mechanisms, such as staff training, manual review, metadata guidelines, and metadata generation tools. And yet, metadata guidelines are used less frequently as a quality assurance mechanism in digital collections involving multiple institutions.
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Details
- Title
- Metadata Quality Control in Digital Repositories and Collections: Criteria, Semantics, and Mechanisms
- Creators
- Jung-Ran Park - College of Information Science and Technology , Drexel UniversityYuji Tosaka - The College of New Jersey Library
- Publication Details
- Cataloging & classification quarterly, v 48(8), pp 696-715
- Publisher
- Taylor & Francis Group
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Information Science
- Web of Science ID
- WOS:000210529900005
- Scopus ID
- 2-s2.0-77957224979
- Other Identifier
- 991014878597904721
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Information Science & Library Science