Data Lifecycle Management
What is Data Lifecycle Management?
Policies and processes for managing data from creation through archival and deletion, ensuring appropriate protection and compliance at each stage.
Frameworks that govern data lifecycle management
What the standards actually require on data lifecycle management
Requirements naming data lifecycle management across 3 standards, quoted from the control text.
Define data lifecycle management that scales, covering how data is handled at ingestion, how sensitivity is reduced through masking or tokenisation, retention periods, provenance tracking and destruction.
SEC07-BP04 · Define scalable data lifecycle management →Data is managed across its lifecycle (creation, use, retention, archiving and disposal) under defined policy.
DCAM-8.4 · Data Lifecycle Management →Standard 5 per Section 23 + the Schedule of the Jamaica Data Protection Act 2020: Personal data shall be kept for no longer than is necessary for the purposes for which they are processed.
JM-DPA2020-Standard5-Retention-Sec23-Time-Limit-No-Longer-Than-Necessary-Erasure-Deletion-Anonymisation · Jamaica DPA 2020 Standard 5 - Retention + Section 23 + Time Limit + No Longer Than Necessary + Erasure + Deletion + Anonymisation + Retention Schedule + Legal Hold + Backup Considerations + Storage Limitation →Questions people ask about data lifecycle management
What is Data Lifecycle Management?
Why is Data Lifecycle Management important for compliance?
Which compliance frameworks address Data Lifecycle Management?
Where can I learn more about Data Lifecycle Management?
See how Data Lifecycle Management applies across compliance frameworks
Our platform maps 686 frameworks with 311K cross-framework control mappings. Explore how this concept is addressed across standards.