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Data Quality Assessment

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Encyclopedia of Database Systems

Synonyms

Data quality measurement; Data quality benchmarking

Definition

The goal of the assessment activity in the area of data quality methodologies is to provide a precise evaluation and diagnosis of the state of databases and data flows of an information system with regard to data quality issues. In the assessment the evaluation is performed measuring the quality of data collections along relevant quality dimensions. The term (data quality) measurement is used to address the issue of measuring the value of a set of data quality dimensions. The term (data quality) assessment is used when such measurements are analyzed in order to enable a diagnosis of the quality of the data collection. The term (data quality) benchmarking is used when the output of the assessment is compared against reference indices, representing average values or best practices values in similar organizations. The term (data quality) readinessaims at assessing the overall predisposition of the organization in...

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Recommended Reading

  1. Atzeni P., Merialdo P., and Sindoni G. Web site evaluation: methodology and case study. In Proc. Int. Workshop on Data Semantics in Web Information Systems, 2001.

    Google Scholar 

  2. Batini C. and Scannapieco M. Data Quality: Concepts, Methodologies and Techniques. Springer, 2006.

    Google Scholar 

  3. De Amicis F. and Batini C. A methodology for data quality assessment on financial data. Stud. Commn. Sci., 4(2):115–136, 2004.

    Google Scholar 

  4. English L.P. Improving Data Warehouse and Business Information Quality. Wiley, 1999.

    Google Scholar 

  5. English L.P. Process management and information quality: how improving information production processes improves information (product) quality. In Proc. 7th Int. Conf. on Information Quality, 2002, pp. 206–209.

    Google Scholar 

  6. Fraternali P., Lanzi P.L., Matera M., and Maurino A. Model-driven web usage analysis for the evaluation of web application quality. J. Web Eng., 3(2):124–152, 2004.

    Google Scholar 

  7. Kahn B., Strong D.M., and Wang R.Y. Information quality benchmarks: product and service performance. Commun. ACM, 45(4):184–192, 2002.

    Google Scholar 

  8. Lee Y.W., Strong D.M., Kahn B.K., and Wang R.Y. AIMQ: a methodology for information quality assessment. Inf. Manag., 40(2):133–146, 2001.

    Google Scholar 

  9. Pipino L., Lee Y.W., and Wang R.Y. Data quality assessment. Commun. ACM, 45(4):211–218, 2002.

    Google Scholar 

  10. Redman T.C. The impact of poor data quality on the typical enterprise. Commun. ACM, 41(2):70–82, 1998.

    Google Scholar 

  11. Sheng Y.H. Exploring the mediating and moderating effects of information quality on firms? Endeavor on information systems. In Proc. 8th Int. Conf. on Information Quality, 2003, pp. 344–353.

    Google Scholar 

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Author information

Authors and Affiliations

  1. University of Milano – Bicocca, Milan, Italy

    Carlo Batini

Authors
  1. Carlo Batini
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Editor information

Editors and Affiliations

  1. College of Computing, Georgia Institute of Technology, 266 Ferst Drive, 30332-0765, Atlanta, GA, USA

    LING LIU (Professor) (Professor)

  2. Database Research Group David R. Cheriton School of Computer Science, University of Waterloo, 200 University Avenue West, N2L 3G1, Waterloo, ON, Canada

    M. TAMER ÖZSU (Professor and Director, University Research Chair) (Professor and Director, University Research Chair)

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© 2009 Springer Science+Business Media, LLC

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Batini, C. (2009). Data Quality Assessment. In: LIU, L., ÖZSU, M.T. (eds) Encyclopedia of Database Systems. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-39940-9_107

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