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dc.contributor.authorNichols, David M.
dc.contributor.authorPaynter, Gordon W.
dc.contributor.authorChan, Chu-Hsiang
dc.contributor.authorBainbridge, David
dc.contributor.authorMcKay, Dana
dc.contributor.authorTwidale, Michael B.
dc.contributor.authorBlandford, Ann
dc.date.accessioned2008-09-09T21:21:12Z
dc.date.available2008-09-09T21:21:12Z
dc.date.issued2008-08
dc.identifier.citationNichols, D.M., Paynter, G.W., Chan, C., Bainbridge, D., McKay, D., Twidale, M.B. & Blandford, A. (2008). Metadata tools for institutional repositories. (Working paper 10/2008). Hamilton, New Zealand: University of Waikato, Department of Computer Science.en_US
dc.identifier.issn1177-777X
dc.identifier.urihttps://hdl.handle.net/10289/972
dc.description.abstractCurrent institutional repository software provides few tools to help metadata librarians understand and analyse their collections. In this paper 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 while the other is part of a wider access tool; one gives a holistic view of the metadata while the other looks for specific problems; one seeks patterns in the data values while 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 summarise the findings from both tools’ deployment into a checklist of requirements for metadata analysis tools.en_US
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.publisherUniversity of Waikato, Department of Computer Scienceen_NZ
dc.relation.ispartofseriesComputer Science Working Papers
dc.subjectcomputer scienceen_US
dc.subjectmetadata qualityen_US
dc.subjectinstitutional repositoriesen_US
dc.titleMetadata tools for institutional repositoriesen_US
dc.typeWorking Paperen_US
uow.relation.series10/2008
pubs.elements-id53664
pubs.place-of-publicationHamilton, New Zealanden_NZ


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