Metadata quality for federated collections

Besiki Stvilia, Les Gasser, Michael B. Twidale, Timothy W. Cole, Sarah L. Shreeves

Research output: Contribution to conferencePaperpeer-review


This paper presents early results from our empirical studies of metadata quality
in large corpuses of metadata harvested under Open Archives Initiative (OAI) protocols. Along with some discussion of why and how metadata quality is important, an approach to conceptualizing, measuring, and assessing metadata quality is presented. The approach given in this paper is based on a more general model of information quality (IQ) for many kinds of information beyond just metadata. A key feature of the general model is its ability to condition quality assessments by context of information use, such as the types of activities that use the information, and the typified norms and values of relevant information-using communities. The paper presents a number of statistical characterizations of analyzed samples of metadata from a large corpus built as part of the Institute of Museum and Library Services Digital Collections and Contents (IMLS DCC)2 project containing OAI-harvested metadata and links these statistical assessments to the quality measures, and interprets them. Finally the paper discusses several approaches to quality improvement for metadata based on the study findings.
Original languageEnglish (US)
StatePublished - 2004
Externally publishedYes
EventNinth International Conference on Information Quality - Massachusetts Institute of Technology, Cambridge, United States
Duration: Nov 5 2004Nov 7 2004


ConferenceNinth International Conference on Information Quality
Country/TerritoryUnited States


  • Information quality
  • Metadata aggregation

ASJC Scopus subject areas

  • Library and Information Sciences

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