High-level journey
How the pieces connect
- 1Policy & standards
Set expectations for how data is defined, managed and protected.
- 2Ownership
Data owners are accountable for fitness for purpose.
- 3Stewardship
Stewards manage definitions, quality rules and issues day to day.
- 4Quality management
Measure, report and fix data against agreed thresholds.
- 5Issue management
Log, prioritise and remediate data issues to root cause.
- 6Assurance
Show evidence that controls run and are effective.
Four lenses
Questions worth asking
Accountability
Who decides, and who answers for it?
Standards
What does 'good' data look like here?
Operations
How do issues get found and fixed?
Assurance
How do we prove it's working?
Public Sources & Further Reading
External references for further learning. Content on this page is original educational interpretation.
- Regulator · APRACPG 235 Managing Data RiskTopic: Data quality and controls · Last reviewed 2026-10-07
- Industry body · DAMA InternationalDAMA-DMBOKTopic: Governance, ownership and stewardship · Last reviewed 2026-10-07
- Government guidance · Office of the National Data CommissionerData governance resourcesTopic: Public sector data governance · Last reviewed 2026-10-07
This educational overview is available now. Further content and interactive journeys are in development.