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Encyclopedia of Database Systems pp 1–6Cite as

Design for Data Quality

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Synonyms

Design for quality; Schema normalization

Definition

The design for data quality (DQ) is the process of designing data artifacts, such as information systems, databases, and data warehouses where data quality issues are considered relevant.

In information systems different types of data are managed; these may be structured such as relational tables in databases, semi-structured data such as XML documents, and unstructured data such as textual documents. Information manufacturing can be seen as the processing system acting on raw data of different types, whose aim is to produce information products. According to this approach, the design for data quality aims to design information-related processes (e.g., creation, updating, and delivering of information) taking into account data quality dimensions.

In the database field, the design for data quality has the objective of producing good (with respect to a given set of quality dimensions) conceptual and relational schemas and...

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Recommended Reading

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Author information

Authors and Affiliations

  1. University of Milano – Bicocca, Milan, Italy

    Carlo Batini & Andrea Maurino

Authors
  1. Carlo Batini
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  2. Andrea Maurino
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Corresponding author

Correspondence to Carlo Batini .

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. Rutgers University, New Brunswick, NJ, USA

    Alexander Borgida

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© 2016 Springer Science+Business Media New York

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Batini, C., Maurino, A. (2016). Design for Data Quality. In: Liu, L., Özsu, M. (eds) Encyclopedia of Database Systems. Springer, New York, NY. https://doi.org/10.1007/978-1-4899-7993-3_649-2

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  • DOI: https://doi.org/10.1007/978-1-4899-7993-3_649-2

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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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