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What is Data Governance Framework

Definition

A data governance framework is the structured set of principles, policies, roles, processes, and standards that operationalises data governance, providing a repeatable model for how an organisation defines, manages, protects, and measures its data across its lifecycle.

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Provides a repeatable structure so governance is consistent rather than ad hoc
Defines decision rights and escalation paths for data issues and policy changes
Links governance activities to measurable outcomes and compliance requirements
Gives leadership a clear model to assess and improve governance maturity over time

Real World Example

A healthcare network adopts a governance framework that defines a data council, steward roles, classification standards, and review cadences, turning scattered governance efforts into an auditable, repeatable operating model.

FAQs

What does a governance framework include?

It typically includes guiding principles, policies, defined roles, processes, standards, and metrics for managing data.

How is a framework different from governance itself?

Governance is the broad goal of controlling data; the framework is the concrete, repeatable structure that makes governance operational.

Are there established framework models?

Yes, models such as DAMA-DMBOK provide reference structures organisations adapt to their own context.