Life cycle management is needed to ensure data integrity, maintainability and usability over life time. Collecting data and data traces is a continuous process of capturing data along a vehicle’s data processing chain, merging data from many sources into a combined data base and managing the data. It needs to be ensured that these large data collections can be managed over long time in a way that keeps these data collections integral, up to date and stay maintainable and usable for long time. The international ISO Standard can be referenced as a defined state of the art (guidance) to address this (ISO/IEC/IEEE 24748-1).
Main Question
Does a strategy exist to ensure that the saved data traces and data collections stay maintainable and usable for long time ([1] Thome, G. and Sollbach, W. (2007); [2] Ball, A. (2012))?
Sub-Questions
- Are methods in place to ensure that the saved data is integral, i.e. the saved data is actually what was originally recorded?
- How is ensured that saved data is protected against data loss?
- How is ensured that data can be updated/changed – when need – and the overall structure stays intact?
- How is ensured that the saved data traces/data collections stay readable for long time?
- How is ensured that the data is saved resource efficient?
- Are definitions and procedures established to consider stored data as obsolete and safe to be deleted?
- Are specific processes needed and used when deleting data?
References
- Thome, G. and Sollbach, W. (2007) ‘Grundlagen und Modelle des Information Lifecycle Management’, Springer-Verlag, 2007
- ISO/IEC (2024) TS 24748-1: Systems and software engineering — Life cycle management. Available at: https://www.iso.org/standard/84709.html (Accessed: 09 December 2025)
- Ball, A (2012) Review of Data Management Lifecycle Models. University of Bath, Bath, UK. Available at: https://researchportal.bath.ac.uk/en/publications/review-of-data-management-lifecycle-models (Accessed: 12 February 2024)