Value-based metadata quality assessment

نویسندگان

  • Besiki Stvilia
  • Les Gasser
چکیده

This article proposes a method that allows a value-based assessment of metadata quality and construction of a baseline quality model. The method is illustrated on a large-scale, aggregated collection of simple Dublin core metadata records. An analysis of the collection suggests that metadata providers and end users may have different value structures for the same metadata. To promote better use of the metadata collection, value models for metadata in the collection should be made transparent to end users and end users should be allowed to participate in content creation and quality control processes. © 2007 Elsevier Inc. All rights reserved.

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تاریخ انتشار 2008