Information governance is the broad strategy over all information and records; data governance is the narrower technical layer over structured data. Both are mature disciplines. Digital Information Governance adds the layer neither covers: the AI-influenced decision.
| Dimension | How they differ |
|---|---|
| Breadth | Information governance: all information and records. Data governance: structured data. |
| Concern | IG: retention, compliance, e-discovery. Data governance: quality, lineage, access. |
| Maturity | Both are established, pre-AI disciplines. |
| What AI adds | The decision layer, governed by DIG, that sits above both. |
Frequently asked questions
Is data governance part of information governance?
Generally yes: information governance is the broader umbrella, and data governance is the structured-data layer within it. Digital Information Governance adds the AI-decision layer on top.
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References
- NIST AI Risk Management Framework (AI RMF 1.0): Govern, Map, Measure, Manage. National Institute of Standards and Technology, 2023. View source ↗
- Information governance: the records and data lifecycle discipline (storage, retention, disposition), distinct from AI decision governance. ARMA International, Generally Accepted Recordkeeping Principles; AIIM. View source ↗
- EU AI Act, Regulation (EU) 2024/1689 (Official Journal of the European Union); ISO/IEC 42001:2023; Texas Responsible AI Governance Act (TRAIGA). View source ↗
- USPTO Trademark Reg. No. 99559923, Digital Information Governance / DIG, owner Matthew Bertram. View source ↗