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Experiences in deploying metadata analysis tools for institutional repositories

Nichols, DM; Chan, C-H; Paynter, GW; Bainbridge, D; McKay, D; Twidale, MB; Blandford, A; (2009) Experiences in deploying metadata analysis tools for institutional repositories. Cataloging and Classification Quarterly , 47 (3-4) 229 - 248. 10.1080/01639370902737281. Green open access

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Abstract

Current institutional repository software provides few tools to help metadata librarians understand and analyze their collections. In this article, we compare and contrast metadata analysis tools that were developed simultaneously, but independently, at two New Zealand institutions during a period of national investment in research repositories: the Metadata Analysis Tool (MAT) at The University of Waikato, and the Kiwi Research Information Service (KRIS) at the National Library of New Zealand. The tools have many similarities: they are convenient, online, on-demand services that harvest metadata using OAI-PMH; they were developed in response to feedback from repository administrators; and they both help pinpoint specific metadata errors as well as generating summary statistics. They also have significant differences: one is a dedicated tool wheres the other is part of a wider access tool; one gives a holistic view of the metadata whereas the other looks for specific problems; one seeks patterns in the data values whereas the other checks that those values conform to metadata standards. Both tools work in a complementary manner to existing Web-based administration tools. We have observed that discovery and correction of metadata errors can be quickly achieved by switching Web browser views from the analysis tool to the repository interface, and back. We summarize the findings from both tools' deployment into a checklist of requirements for metadata analysis tools.

Type:Article
Title:Experiences in deploying metadata analysis tools for institutional repositories
Open access status:An open access version is available from UCL Discovery
DOI:10.1080/01639370902737281
UCL classification:UCL > School of BEAMS > Faculty of Engineering Science > Computer Science

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