Technical Whitepaper Series No. 1
Data Flow Governance & Compliance Evidence Review Framework
This framework is decision-support & evidence organization. It is not a legal opinion, regulatory interpretation, privacy impact assessment, cybersecurity certification, or approval mechanism.
Requirements
- RequirementIdentification, provenance & lineage, rights & permissions, classification & sensitivity, movement & transfer, controls & evidence
- RequirementData classification based on observable attributes including personal data status, confidentiality, regulatory context, use limitation, re-identification risk, & AI relevance
- RequirementCross-boundary & multi-party data movement records covering entities, jurisdictions, categories, purpose, mechanism, controls, onward transfer, retention, incident response, & auditability
- RequirementDecision outcomes: proceed, proceed with controls, escalate for professional review, redesign use case, or do not use
Deliverables
- Data inventory & classification record
- Lineage & provenance map
- Rights & permissions assessment
- Data flow & transfer record
- Risk review & control register
- Approval & monitoring record
How this standard has evolved
01Consultation Draft
This version is open for review and may change before release.
02Bounded Use
Use the framework within its stated limits and professional context.
03Stakeholder Review
Feedback from members and subject experts informs revisions before publication.
04Revision Discipline
Updates are tracked so readers can see what changed and why.