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Data Quality Dimensions

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Encyclopedia of Database Systems
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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

  1. Batini C, Scannapieco M. Data quality – concepts, methodologies and techniques. Berlin: Springer; 2006.

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  2. 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.

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  3. 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.

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  4. Naumann F. Quality-driven query answering for integrated information systems, LNCS 2261. Berlin: Springer; 2002.

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  5. Redman T. Data quality for the information age. Norwood: Artech House; 1996.

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  6. Wang R, Strong D. Beyond accuracy: what data quality means to data consumers. J Inf Syst. 1996;12(4):5–34.

    Article  Google Scholar 

  7. Wang R, Ziad M, Lee Y. Data quality. Boston: Kluwer; 2001.

    MATH  Google Scholar 

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Correspondence to Kai-Uwe Sattler .

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Sattler, KU. (2018). Data Quality Dimensions. In: Liu, L., Özsu, M.T. (eds) Encyclopedia of Database Systems. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-8265-9_108

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