Metadata quality problems in federated collections

Besiki Stvilia, Les Gasser, Michael B. Twidale

Research output: Chapter in Book/Report/Conference proceedingChapter


This chapter presents results from our empirical studies of metadata quality in large corpuses of metadata harvested under open archives initiative (OAI) protocols. Along with a discussion of why and how metadata quality is important, an approach to conceptualizing, and assessing metadata quality is presented. The approach is based on a more general model of information quality 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 chapter presents a number of statistical characterizations of samples of metadata from a large corpus built as part of the Institute of Museum and Library Services Digital Collections and Contents project containing OAI-harvested metadata, interprets these statistical assessments and links to the quality measures. Finally the chapter discusses several approaches to quality improvement for metadata based on the study findings.

Original languageEnglish (US)
Title of host publicationChallenges of Managing Information Quality in Service Organizations
EditorsLatif Al-Hakim
PublisherIGI Global
Number of pages32
ISBN (Print)9781599044200
StatePublished - 2006

ASJC Scopus subject areas

  • General Business, Management and Accounting


Dive into the research topics of 'Metadata quality problems in federated collections'. Together they form a unique fingerprint.

Cite this