Encyclopedia of Database Systems

2018 Edition
| Editors: Ling Liu, M. Tamer Özsu

Data Quality Dimensions

  • Kai-Uwe Sattler
Reference work entry
DOI: https://doi.org/10.1007/978-1-4614-8265-9_108

Synonyms

Data quality attributes; Data quality criteria; Data quality measurement

Definition

Data quality (DQ) is usually understood as a multi-dimensional concept. The dimensions represent the views, criteria, or measurement attributes for data quality problems that can be assessed, interpreted, and possibly improved individually. By assigning scores to these dimensions, the overall data quality can be determined as an aggregated value of individual dimensions relevant in the given application context.

Historical Background

Since the mid-1990s data quality issues have been addressed by systematic research studies. In this context, relevant dimensions of data quality have also been investigated. One of the first empirical studies by Wang and Strong [6] has identified 15 relevant dimensions out of 179 gathered criteria. This list was later supplemented by other researchers. Initially, there were proposed divergent definitions of the same dimensions, mostly due to different views, e.g.,...

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Recommended Reading

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    Batini C, Scannapieco M. Data quality – concepts, methodologies and techniques. Berlin: Springer; 2006.zbMATHGoogle Scholar
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    Gertz M, Özsu MT, Saake G, Sattler K. Report on the Dagstuhl Seminar: data quality on the Web. ACM SIGMOD Rec. 2004;33(1):127–32.CrossRefGoogle Scholar
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    Liu L, Chi L. Evolutional data quality: a theory-specific view. In: Proceedings of the 7th International Conference on Information Quality; 2002. p. 292–304.Google Scholar
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    Naumann F. Quality-driven query answering for integrated information systems, LNCS 2261. Berlin: Springer; 2002.CrossRefzbMATHGoogle Scholar
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    Redman T. Data quality for the information age. Norwood: Artech House; 1996.Google Scholar
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    Wang R, Strong D. Beyond accuracy: what data quality means to data consumers. J Inf Syst. 1996;12(4):5–34.CrossRefGoogle Scholar
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    Wang R, Ziad M, Lee Y. Data quality. Boston: Kluwer; 2001.zbMATHGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Technische Universität IlmenauIlmenauGermany

Section editors and affiliations

  • Felix Naumann
    • 1
  1. 1.Information SystemsHasso-Plattner-InstitutePotsdamGermany