Learn · Data Governance
Data Governance
Frameworks
A data governance framework is the structure of policies, roles, processes, and standards an organisation uses to manage its data as an asset — keeping it accurate, owned, secure, and compliant.
The common reference models are DAMA-DMBOK and DCAM — and in India, the DPDP Act now turns much of data governance into a legal requirement, not just best practice.
Plain-English explainer · DAMA-DMBOK · DCAM · DPDP / GDPR-aligned · Last reviewed June 2026
A data governance framework is a structured way to manage data as an organisational asset. It sets out the policies, roles, processes, and standards that decide who owns which data, how its quality is maintained, how it’s classified and secured, and how it’s retained and disposed of — so the organisation can trust its data and use it responsibly. The most widely used reference models are DAMA-DMBOK (a complete body of knowledge) and DCAM (a maturity model). For Indian organisations, data governance is no longer optional good practice: the DPDP Act makes consent, purpose limitation, retention limits, and breach handling legal obligations. Its security side overlaps directly with your ISMS, and the whole discipline sits under GRC.
The Pillars
What a Framework Covers
Ownership & stewardship
Named owners and stewards accountable for each data domain — who decides, who maintains, who answers for it.
Data quality
Standards and checks for accuracy, completeness, and consistency, so the data people rely on is trustworthy.
Security & privacy
Classification, access control, and protection of personal data — the overlap with your ISMS and with DPDP/GDPR.
Lifecycle & metadata
How data is created, catalogued, retained, and disposed of — with metadata so people can find and understand it.
The Major Frameworks
Reference Models, Compared
DAMA-DMBOK
DAMA Data Management Body of Knowledge
The most widely used reference. Its “DAMA wheel” organises data management into knowledge areas (data quality, metadata, security, architecture, etc.) with governance at the centre. A comprehensive vocabulary and operating model.
Best for: A complete, standard reference model to structure a data governance programme.
DCAM
Data Management Capability Assessment Model (EDM Council)
A capability-maturity model for assessing and benchmarking how mature your data management and governance are, and planning improvement. Strong in financial services.
Best for: Measuring maturity and building a roadmap, especially in regulated finance.
Regulatory-driven
DPDP / GDPR-aligned governance
In India, the DPDP Act makes core data-governance practices — consent, purpose limitation, retention, breach handling — legal obligations, not just good practice. Governance here is shaped by the regulation you must meet.
Best for: Organisations whose primary driver is privacy-law compliance (DPDP, GDPR).
Data Governance — Common Questions
The questions people ask most about data governance frameworks.
What is a data governance framework?
A data governance framework is the structure of policies, roles, processes, and standards an organisation uses to manage data as an asset — defining ownership, quality, security, privacy, and lifecycle so data is trustworthy and used responsibly.
What is the difference between data governance and data management?
Data management is the broad practice of handling data (storage, integration, architecture, quality, and more). Data governance is the part that sets the rules, roles, and accountability that direct how data management is done. Governance decides the policy; management executes it.
What is DAMA-DMBOK?
DAMA-DMBOK (the Data Management Body of Knowledge) is the most widely used reference. It organises data management into knowledge areas — data quality, metadata, security, architecture, and more — with governance at the centre, giving a common vocabulary and operating model.
How does data governance relate to the DPDP Act?
India’s DPDP Act turns core data-governance practices into legal obligations: lawful consent, purpose limitation, retention limits, data-principal rights, and breach notification. A data governance framework is how you operationalise and evidence DPDP compliance.
How does data governance relate to ISO 27001?
The security and access-control side of data governance overlaps directly with an ISO 27001 ISMS — classification, access control, and protection of personal data are common to both. Many organisations run data governance and their ISMS as one coordinated programme.
Related reading: the Learn hub, what GRC is, access control, and the DPDP Act. More terms in the compliance glossary.
Written By Expert Auditors
Get in touch
Book a free consultation or send us your requirements. We respond within 24 hours.
Quick Call
Pick a time slot
Send Requirements
Get a custom quote in 24 hours