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Information Quality Assessment

  • Living reference work entry
  • First Online:
Encyclopedia of Database Systems

  • 68 Accesses

Synonyms

Data; Information

Definition

This entry uses the terms data and information interchangeably. The classical distinction is that data are raw facts whereas information is data in context or data that have been processed. Nevertheless, other than at an abstract level, it is a distinction that is often not made and one finds that the terms are used interchangeably. It is important to note that one individual’s information can be data to another individual. This entry will also use the terms information quality dimension and information quality variable interchangeably.

Further, this chapter defines information of quality as information that is fit for use (or data of quality as data that is fit for use). This means that context and use plays an important role in evaluating information quality. For example, the instantaneous changes in a stock’s price may be of importance to the stock trader who may trade stocks on a minute by minute basis. This instantaneous information, however,...

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Author information

Authors and Affiliations

  1. University of Massachusetts, Lowell, MA, USA

    Leo L. Pipino

Authors
  1. Leo L. Pipino
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Corresponding author

Correspondence to Leo L. Pipino .

Editor information

Editors and Affiliations

  1. Georgia Institute of Technology College of Computing, Atlanta, Georgia, USA

    Ling Liu

  2. University of Waterloo School of Computer Science, Waterloo, Ontario, Canada

    M. Tamer Özsu

Section Editor information

  1. College of Business Administration, Northeastern Univ., 360 Huntington Ave., 2115, Boston, MA, USA

    Yang W. Lee

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© 2016 Springer Science+Business Media LLC

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Pipino, L.L. (2016). Information Quality Assessment. In: Liu, L., Özsu, M. (eds) Encyclopedia of Database Systems. Springer, New York, NY. https://doi.org/10.1007/978-1-4899-7993-3_496-2

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  • DOI: https://doi.org/10.1007/978-1-4899-7993-3_496-2

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  • Publisher Name: Springer, New York, NY

  • Online ISBN: 978-1-4899-7993-3

  • eBook Packages: Springer Reference Computer SciencesReference Module Computer Science and Engineering

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