Encyclopedia of Database Systems

2018 Edition
| Editors: Ling Liu, M. Tamer Özsu

Design for Data Quality

  • Carlo BatiniEmail author
  • Andrea Maurino
Reference work entry
DOI: https://doi.org/10.1007/978-1-4614-8265-9_649


Design for quality; Schema normalization


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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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.University of Milano-BicoccaMilanItaly

Section editors and affiliations

  • Alexander Borgida
    • 1
  1. 1.Rutgers UniversityNew BrunswickUSA