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Full Description
Data-Centric Safety presents core concepts and principles of system safety management, and then guides the reader through the application of these techniques and measures to Data-Centric Systems (DCS). The authors have compiled their decades of experience in industry and academia to provide guidance on the management of safety risk. Data Safety has become increasingly important as many solutions depend on data for their correct and safe operation and assurance. The book's content covers the definition and use of data. It recognises that data is frequently used as the basis of operational decisions and that DCS are often used to reduce user oversight. This data is often invisible, hidden. DCS analysis is based on a Data Safety Model (DSM). The DSM provides the basis for a toolkit leading to improvement recommendations. It also discusses operation and oversight of DCS and the organisations that use them. The content covers incident management, providing an outline for incident response. Incident investigation is explored to address evidence collection and management.Current standards do not adequately address how to manage data (and the errors it may contain) and this leads to incidents, possibly loss of life. The DSM toolset is based on Interface Agreements to create soft boundaries to help engineers facilitate proportionate analysis, rationalisation and management of data safety. Data-Centric Safety is ideal for engineers who are working in the field of data safety management.
Contents
I. Data-Centric Safety
1. Introduction
2. System Safety Management
3. Challenges to Systems Engineering
II. Data-Centric Fundamentals
4. Data Fundamentals
5. Data-Centric Systems
6. System Context
7. System Definition
III. Data-Centric Design
8. Data-Centric Architecture
9. Development
10. Acceptance and Approval
IV. Operational Management and Maintenance
11. Operational Matters
12. Live Management and Control
V. Incident Investigation
13. Major Incident Response
14. Investigation Management
15. DCI Investigation Methods
16. Incident Investigation
17. Investigation Methodology Maturity
18. Analysis as Part of a DCI
19. Incident Report
VI. Data Safety Model
20. Data Safety Model
21. Using the DSM
22. Validation
VII. Application Areas
23. Autonomous Flight
24. Enterprise
25. Healthcare
VIII. References
