Data-Centric Safety: Challenges, Approaches, and Incident Investigation

Data-Centric Safety presents core concepts and principles of safety system management, and then guides the reader through the application of these techniques and measures to Data Centric and Data Intensive systems. The authors have compiled their decades of experience in industry and academia to provide guidance on the development of data intensive systems, and ensuring the safety of these systems. The content covers use of data in root cause analysis and improvement recommendations in an incident investigation. It also discusses operation and oversight of data centric or data intensive systems and organizations. Current standards do not adequately address how to manage big data (and the errors it may contain) and this leads to incidents; possibly loss of life. This book presents a toolkit based on interface contracts to create soft boundaries to help engineers facilitate the analysis, rationalization and management of large scale safety systems. This book is ideal for any engineers who are working in the field of data driven safety management. Determine what data can be used in safety systems, and what it can be used forVerify that the data being used is appropriate and has the right characteristics through use of case studiesEngineer our systems to ensure they are robust to data errors and failures INDICE: 1. Introduction (and Structure of the Book)2. A Brief History of System Safety3. Data Fundamentals4. Data Centric and Data Intensive Systems5. Data Challenges to Systems Engineering6. Data Items are System Components7. Requirements Engineering for Data8. Develop Layered System Architecture9. Acceptance and Approval10. Accepting Data into the Operational System11. Live Management and Control12. Incident, the System and its boundary13. Capturing and Impounding the Data14. The Role of Modelling15. Analysis16. Capturing the Business Model17. Organisational Boundaries18. Incident Investigation Process19. Incident Reporting20. Reference Model21. Applying the Reference Model22. Data Supply Chain23. Autonomous Flight24. Enterprise25. Healthcare

• ISBN: 978-0-12-820790-1
• Editorial: Elsevier
• Encuadernacion: Rústica
• Páginas: 540
• Fecha Publicación: 24/04/2020
• Nº Volúmenes: 1
• Idioma: Inglés