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Encyclopedia of Database Systems pp 1502–1508Cite as

Information Quality: Managing Information as a Product

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Definition

Traditionally, information has been viewed as a by-product of a computer system or an event. From this viewpoint, the focus is on designing and delivering computer systems, rather than designing and delivering information. To increase the quality of information available to information consumers, organizations need to treat information as a product being intentionally produced for those who will use that information. This means actively managing information and its quality. Such an information product (IP) approach focuses attention on information quality, i.e., delivering high-quality information that is fit for use by information consumers, rather than solely on data quality, i.e., maintaining the quality of the data stored in databases or data warehouses. While the terms “data” and “information” are often used interchangeably in the information and data quality literature, the term information quality is more often used in studies that take an IP approach and explicitly...

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  • DOI: 10.1007/978-0-387-39940-9_497
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Recommended Reading

  1. Ballou D.P., Wang R.Y., Pazer H., and Tayi G.K. Modeling information manufacturing systems to determine information product quality. Manage. Sci., 44(4):462–484, 1998.

    CrossRef  MATH  Google Scholar 

  2. Davidson B., Lee Y.W., and Wang R.Y. Developing data production maps: meeting patient discharge data submission requirements. Int. J. Healthc. Technol. Manag., 6(2):223–240, 2004.

    CrossRef  Google Scholar 

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

    CrossRef  Google Scholar 

  4. Lee Y.W., Pipino L., Funk J., and Wang R.Y. Journey to information quality. MIT Press, Cambridge, MA, 2006.

    Google Scholar 

  5. Lee Y.W. and Strong D.M. Knowing-why about data processes and data quality. J. Manage. Inf. Syst., 20(3):13–39, 2004.

    Google Scholar 

  6. Lee Y.W., Strong D.M., Kahn B.K., and Wang R.Y. AIMQ: a methodology for information quality assessment. Inf. Manage., 40(2):133–146, 2002.

    CrossRef  Google Scholar 

  7. Pipino L.L., Lee Y.W., and Wang R.Y. Data quality assessment. Commun. ACM, 45(4ve):38–46, 2002.

    CrossRef  Google Scholar 

  8. Proceedings of the International Conference on Information Quality (ICIQ). (1996 and yearly since then), available at: http://mitiq.mit.edu and at http://mitiq.mit.edu/ICIQ.

  9. Scannapieco M., Pernici B., and Pierce E. IP-UML: towards a methodology for quality improvement based on the ip-map framework. In Proc. Int. Conf. on Information Systems, 2002, pp. 279–291.

    Google Scholar 

  10. Shankaranarayan G., Ziad M., and Wang R.Y. Managing data quality in dynamic decision environment: an information product approach. J. Database Manage., 14(4):14–32, 2003.

    Google Scholar 

  11. Strong D.M., Lee Y.W., and Wang R.Y. Data quality in context. Commun. ACM, 40(5):103–110, 1997.

    CrossRef  Google Scholar 

  12. Strong D.M., Lee Y.W., and Wang R.Y. Ten potholes in the road to information quality. IEEE Comput., 30(8):38–46, 1997.

    Google Scholar 

  13. Wang R.Y. A product perspective on total data quality management. Commun. ACM, 41(2):58–65, 1998.

    CrossRef  Google Scholar 

  14. Wang R.Y., Lee Y.W., Pipino L.L., and Strong D.M. Manage your information as a product. Sloan Manage. Rev., 39(4):95–105, 1998.

    Google Scholar 

  15. Wang R.Y. and Strong D.M. Beyond accuracy: what data quality means to data consumers. J. Manage. Inf. Syst., 12(4):5–34.

    Google Scholar 

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Author information

Authors and Affiliations

  1. Worcester Polytechnic Institute, Worcester, MA, USA

    Diane M. Strong

Authors
  1. Diane M. Strong
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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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Strong, D.M. (2009). Information Quality: Managing Information as a Product. In: LIU, L., ÖZSU, M.T. (eds) Encyclopedia of Database Systems. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-39940-9_497

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