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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.

Privacy and Data Protection

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

Questions people ask about 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.
Why is Data Lifecycle Management important for compliance?
Data Lifecycle Management is a key concept in Privacy and Data Protection. Understanding data lifecycle management helps organizations meet regulatory requirements, reduce risk, and demonstrate due diligence during audits. Our compliance platform maps 686 frameworks with 311K cross-framework control mappings.
Which compliance frameworks address Data Lifecycle Management?
Data Lifecycle Management appears in the requirement text of AWS Well-Architected Security Pillar, EDM Council DCAM - Data Management Capability Assessment Model, Jamaica Data Protection Act 2020. Across these standards we have identified 3 controls that name it directly, each linked to the control text on the compliance platform.
Where can I learn more about Data Lifecycle Management?
Explore our compliance framework pages to see how data lifecycle management applies across different standards and regulations. Our implementation guides provide step-by-step guidance, and the compliance platform offers AI-powered analysis of how this concept maps across 686 frameworks.

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.

Written and maintained by Gerard Blokdyk, The Art of Service.