Data Governance

Table of contents

1. Front Cover
2. Half-Title Page
3. BCS, THE CHARTERED INSTITUTE FOR IT
4. Title Page
5. Copyright Page
6. Contents
7. Figures and tables
8. Authors
9. Abbreviations
10. Preface
11. Introducing the terminology used in this book
12. Introducing the authors
13. Introducing the standards referred to in this book
14. Navigating the book
15. Planning your journey
16. Part 1: The Requirement to Govern Data
    1. What is data?
    2. Data governance or data management?
17. 1. Data Collection Through The Ages
    1. Census data
    2. Health data
    3. Traditional data-heavy industries
    4. Modern day data-enabled businesses
    5. Summary
18. 2. Incentives and Disincentives for Collecting and Sharing Data
    1. A matter of trust
    2. Impact for directors
    3. Opportunities for the data-driven business
    4. Risk
    5. Regulation
    6. Summary
19. 3. The Theory Behind Governing Data
    1. 38505-1 application of ISO/IEC 38500 to the governance of data
    2. 38505-2 implementing a data strategy
    3. Summary
20. 4. Governing Data: Dealing With Connectivity
    1. Issues with a connected world
    2. Addressing issues of the connected world
    3. Summary
    4. Further reading
21. Part 2: Data Accountability
    1. Quick recap
    2. Data accountability map points
22. 5. Collect
    1. Value
    2. Risk
    3. Constraints
    4. Data collection: case study
    5. Comparison of the two cases
    6. Summary
23. 6. Store
    1. Applying the principles of governance
    2. Summary
24. 7. Decide
    1. The value of data
    2. Automated decision making
    3. The governance of decision making
    4. The data value chain
    5. Summary
25. 8. Report
    1. Report: theory
    2. Report: practice
26. 9. Distribute
    1. Models for distributing data
    2. Summary
27. 10. Dispose
    1. Why bother?
    2. Candidates for data disposal
    3. Policy for data disposal
    4. Identification through the report activity
    5. External triggers for data disposal
    6. Permanent removal
    7. Archiving data
    8. Balancing value, risk, constraint
    9. Summary
28. Afterword
29. Appendix A Governing Data: Dealing With Regulations
    1. The challenge of data governance in complex regulated environments
    2. Key ontological concepts
    3. Steps required to build the map
    4. Using ontology to improve regulatory data governance
    5. Identifying the concepts to create a map
    6. Identifying the rules
    7. Identifying the roles
    8. Identifying the inconsistencies or gaps
    9. Development of a global vision of regulatory constraints
    10. Assessing the impact of legislative change
    11. Moving forward
30. References
31. Glossary
32. Index
33. Back Cover