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Information and Database Quality

  • Book
  • © 2002

Overview

Editors:
  1. Mario G. Piattini

    1. University of Castilla-La Mancha, Spain

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    You can also search for this editor in PubMed   Google Scholar

  2. Coral Calero

    1. University of Castilla-La Mancha, Spain

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    You can also search for this editor in PubMed   Google Scholar

  3. Marcela Genero

    1. University of Castilla-La Mancha, Spain

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Advances in Database Systems (ADBS, volume 25)

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Table of contents (9 chapters)

  1. Front Matter

    Pages i-xvii
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  2. The Organization’s Most Important Data Issues

    • Robert W. Pautke, Thomas C. Redman
    Pages 1-12

  3. Quality in Conceptual Modelling

    • Marcela Genero, Mario Piattini
    Pages 13-44

  4. Information quality in internet commerce design

    • Pairin Katerattanakul, Keng Siau
    Pages 45-56

  5. Metrics for databases: a way to assure the quality

    • Coral Calero, Mario Piattini
    Pages 57-83

  6. Total Quality data Management (TQdM)

    • Larry P. English
    Pages 85-109

  7. Data Quality and Business Rules

    • David Loshin
    Pages 111-133

  8. A NEAT Approach for Data Quality Assessment

    • Mónica Bobrowski, Martina Marré, Daniel Yankelevich
    Pages 135-162

  9. Quality in Data Warehousing

    • Mokrane Bouzeghoub, Zoubida Kedad
    Pages 163-198

  10. Where is Information Quality in Information Systems Education?

    • Beverly K. Kahn, Diane M. Strong
    Pages 199-222

  11. Back Matter

    Pages 223-227
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Keywords

About this book

In a global and increasingly competitive market, where organizations are driven by information, the search for ways to transform data into true knowledge is critical to a business's success. Few companies, however, have effective methods of managing the quality of this information. Because quality is a multidimensional concept, its management must consider a wide variety of issues related to information and data quality. Information and Database Quality is a compilation of works from research and industry that examines these issues, covering both the organizational and technical aspects of information and data quality.
Information and Database Quality is an excellent reference for both researchers and professionals involved in any aspect of information and database research.

Editors and Affiliations

  • University of Castilla-La Mancha, Spain

    Mario G. Piattini, Coral Calero, Marcela Genero

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