Data Management and Data Description
eBook - ePub

Data Management and Data Description

  1. 360 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Data Management and Data Description

About this book

Published in 1992. The author sets out the main issues in Data Management, from the first principles of meta modelling and data description through the comprehensive management exploitation, re-use, valuation, extension and enhancement of data as a valuable organizational resource.

Using his recent in-depth experience of a major trans-European project, he highlights data value metrics and provides examples of extended data analysis to assist readers to produce corporate data architectures. The book considers how the techniques of data management can be applied in the wider community of business, institutional and organizational settings and considers how new types of data (from the EDIFACT world) can be integrated into the existing data management environments of large data processing functions.

This wide-ranging text considers existing work in the field of data resource management and extends the concepts of data resource valuation. References are made to new aspects of metrics for data value and how they can be applied.

It will interest strategic business planners, information systems, and DP managers and executives, data-management personnel and data analysts, and academics involved in MSc and BSc courses on Dara Analysis, CASE repositories and structured methods.

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Yes, you can access Data Management and Data Description by Richard Williams in PDF and/or ePUB format, as well as other popular books in Social Sciences & Sociology. We have over one million books available in our catalogue for you to explore.

Information

Table of contents

  1. Cover
  2. Half Title
  3. Title Page
  4. Copyright Page
  5. Dedication Page
  6. Table of Contents
  7. Acknowledgements
  8. 1: Introduction
  9. 2: Data Management and Data Modelling
  10. 3: Data Management and Data Documentation
  11. 4: Data Management Tools
  12. 5: Managing Data in an Organisation
  13. 6: Data Management Functionality: 1
  14. 7: Data Management Functionality: 2
  15. 8: Data Management Functionality: 3
  16. 9: Data Management in the Business
  17. 10: Data Management Issues
  18. 11: Data Management and the Future
  19. Index