Value-based metadata quality assessment

Besiki Stvilia, Les Gasser

Research output: Contribution to journalArticlepeer-review

Abstract

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.

Original languageEnglish (US)
Pages (from-to)67-74
Number of pages8
JournalLibrary and Information Science Research
Volume30
Issue number1
DOIs
StatePublished - Mar 2008

ASJC Scopus subject areas

  • Information Systems
  • Library and Information Sciences

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