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      • Computing and Mathematical Sciences
      • Computer Science Working Paper Series
      • 2008 Working Papers
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      •   Research Commons
      • University of Waikato Research
      • Computing and Mathematical Sciences
      • Computer Science Working Paper Series
      • 2008 Working Papers
      • View Item
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      Metadata tools for institutional repositories

      Nichols, David M.; Paynter, Gordon W.; Chan, Chu-Hsiang; Bainbridge, David; McKay, Dana; Twidale, Michael B.; Blandford, Ann
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      Nichols, 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.
      Permanent Research Commons link: https://hdl.handle.net/10289/972
      Abstract
      Current 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.
      Date
      2008-08
      Type
      Working Paper
      Series
      Computer Science Working Papers
      Report No.
      10/2008
      Publisher
      University of Waikato, Department of Computer Science
      Collections
      • 2008 Working Papers [14]
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