Handbook of Data Quality

Research and Practice

Editors: Sadiq, Shazia (Ed.)

  • Presents a comprehensive framework based on organizational, architectural, and computational techniques and solutions
  • Includes a separate section devoted to successful data quality approaches in industry
  • Combines contributions from leading researchers, recognized industry thought leaders, and experienced practitioners
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eBook $89.00
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  • ISBN 978-3-642-36257-6
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Hardcover $119.00
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  • ISBN 978-3-642-36256-9
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  • Usually dispatched within 3 to 5 business days.
Softcover $119.00
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  • ISBN 978-3-642-44184-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

The issue of data quality is as old as data itself. However, the proliferation of diverse, large-scale and often publically available data on the Web has increased the risk of poor data quality and misleading data interpretations. On the other hand, data is now exposed at a much more strategic level e.g. through business intelligence systems, increasing manifold the stakes involved for individuals, corporations as well as government agencies. There, the lack of knowledge about data accuracy, currency or completeness can have erroneous and even catastrophic results.

With these changes, traditional approaches to data management in general, and data quality control specifically, are challenged. There is an evident need to incorporate data quality considerations into the whole data cycle, encompassing managerial/governance as well as technical aspects.

Data quality experts from research and industry agree that a unified framework for data quality management should bring together organizational, architectural and computational approaches. Accordingly, Sadiq structured this handbook in four parts: Part I is on organizational solutions, i.e. the development of data quality objectives for the organization, and the development of strategies to establish roles, processes, policies, and standards required to manage and ensure data quality. Part II, on architectural solutions, covers the technology landscape required to deploy developed data quality management processes, standards and policies. Part III, on computational solutions, presents effective and efficient tools and techniques related to record linkage, lineage and provenance, data uncertainty, and advanced integrity constraints. Finally, Part IV is devoted to case studies of successful data quality initiatives that highlight the various aspects of data quality in action. The individual chapters present both an overview of the respective topic in terms of historical research and/or practice and state of the art, as well as specific techniques, methodologies and frameworks developed by the individual contributors.

Researchers and students of computer science, information systems, or business management as well as data professionals and practitioners will benefit most from this handbook by not only focusing on the various sections relevant to their research area or particular practical work, but by also studying chapters that they may initially consider not to be directly relevant to them, as there they will learn about new perspectives and approaches.

About the authors

Shazia Sadiq is professor of computer science at the University of Queensland where she teaches and conducts research on information systems with a particular focus on business processes management, governance, risk and compliance, and data quality. Shazia is a keen advocate of cross-disciplinary and industry relevant research, and she has published her results in more than 100 scientific papers so far.

Reviews

From the reviews:

“The book is suitable for academics and students in computer science, information systems, and management. Practitioners should find matters related to their practice areas in one division or another. … This book goes a long way toward providing an integrative view of data quality, and is a useful addition to the body of literature in this area.” (R. M. Malyankar, Computing Reviews, May, 2014)

Table of contents (17 chapters)

  • Prologue: Research and Practice in Data Quality Management

    Sadiq, Shazia

    Pages 1-11

  • Data Quality Management Past, Present, and Future: Towards a Management System for Data

    Redman, Thomas C.

    Pages 15-40

  • Data Quality Projects and Programs

    McGilvray, Danette

    Pages 41-73

  • Cost and Value Management for Data Quality

    Ge, Mouzhi (et al.)

    Pages 75-92

  • On the Evolution of Data Governance in Firms: The Case of Johnson & Johnson Consumer Products North America

    Otto, Boris

    Pages 93-118

Buy this book

eBook $89.00
price for USA (gross)
  • ISBN 978-3-642-36257-6
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $119.00
price for USA
  • ISBN 978-3-642-36256-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $119.00
price for USA
  • ISBN 978-3-642-44184-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Handbook of Data Quality
Book Subtitle
Research and Practice
Editors
  • Shazia Sadiq
Copyright
2013
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-642-36257-6
DOI
10.1007/978-3-642-36257-6
Hardcover ISBN
978-3-642-36256-9
Softcover ISBN
978-3-642-44184-4
Edition Number
1
Number of Pages
XII, 438
Topics