DAMA-DMBOK2: every control, and what you already have

136 controls 299 frameworks share controls with it Global (DAMA International; data management profession) verified against its source document

Every control below is one this framework asks for. The right hand column counts how many other frameworks in our corpus carry the same control, which is the difference between doing this work once and doing it again for the next standard.

DAMA-DMBOK2 Data Management Body of Knowledge Evidence & Implementation Kit

136 controls is the documentation set somebody has to write. This is that set, already written: an adopt-ready artifact for every control in policy and procedure text you edit rather than draft, and the evidence checklist an auditor asks for against each.

See what is in it, $249

The same set every buyer of this kit receives. Nothing here is produced on request.

What you already have

Frameworks whose controls overlap this one, most first. If you run any of them, the count is roughly what you have already evidenced.

If you run	Shared controls
Switzerland New Federal Act on Data Protection (nFADP/nDSG, 2023)	8	measure it →
Nebraska Data Privacy Act	7	measure it →
ISO/IEC 27011:2024	6	measure it →
ISO/IEC 27043:2015	6	measure it →
ISO/SAE 21434	6	measure it →
Nigeria Data Protection Act 2023 (NDPA)	6	measure it →
OWASP SAMM	6	measure it →
SIG (Shared Assessments)	6	measure it →
Singapore Government Instruction Manual on ICT&SS Management (IM8)	6	measure it →
SLSA	6	measure it →
SOC 2	6	measure it →
South Korea ISMS-P	6	measure it →

Every control

Code	Control	Also in
`DA-1`	Enterprise Data Architecture	153
`DA-2`	Data Modeling and Design	0
`DA-3`	Data Architecture Standards	0
`DCB-1`	Document and Content Management	0
`DCB-2`	Data Warehousing	0
`DCB-3`	Business Intelligence and Analytics	0
`DEM-1`	Data Ethics	0
`DEM-2`	Data Management Maturity Assessment	0
`DEM-3`	Big Data and Data Science	0
`DG-1`	Data Governance Strategy	0
`DG-2`	Data Stewardship	0
`DG-3`	Data Policies and Standards	0
`DIQ-1`	Data Integration and Interoperability	146
`DIQ-2`	Data Quality Management	224
`DIQ-3`	Metadata Management	58
`DMBOK-DA-01`	Enterprise Data Architecture	0
`DMBOK-DA-02`	Data Architecture Governance	0
`DMBOK-DG-01`	Data Governance Strategy and Operating Model	0
`DMBOK-DG-02`	Data Policies and Standards	0
`DMBOK-DG-03`	Data Stewardship Network	0
`DMBOK-DG-04`	Data Management Maturity Assessment	0
`DMBOK-DI-01`	Data Integration Architecture	0
`DMBOK-DI-02`	Data Lineage and Movement	0
`DMBOK-DM-01`	Conceptual, Logical, and Physical Data Models	0
`DMBOK-DM-02`	Modeling Standards and Naming Conventions	0
`DMBOK-DOC-01`	Document and Content Management	0
`DMBOK-DQ-01`	Data Quality Management Program	0
`DMBOK-DQ-02`	Data Profiling and Monitoring	0
`DMBOK-DQ-03`	Data Quality Issue Resolution	0
`DMBOK-DS-01`	Database Design and Operations	0
`DMBOK-DS-02`	Database Performance and Capacity Management	0
`DMBOK-DSec-01`	Data Security Classification	0
`DMBOK-DSec-02`	Access Controls and Privileged Access	0
`DMBOK-DSec-03`	Data Masking and Encryption	1
`DMBOK-DW-01`	Data Warehouse and BI Architecture	0
`DMBOK-DW-02`	Analytical Data Quality and Reconciliation	0
`DMBOK-META-01`	Metadata Management Strategy	0
`DMBOK-META-02`	Business Glossary and Data Dictionary	0
`DMBOK-RMD-01`	Reference Data Management	0
`DMBOK-RMD-02`	Master Data Management	0
`DSO-1`	Data Storage and Operations	0
`DSO-2`	Data Security	116
`DSO-3`	Data Access Management	160
`RMD-1`	Reference Data Management	116
`RMD-2`	Master Data Management	18
`RMD-3`	Data Matching and Linking	0
`BDDS.2.1`	BDDS.2.1 Define big data strategy and business needs	0
`BDDS.2.2`	BDDS.2.2 Choose data sources	0
`BDDS.2.3`	BDDS.2.3 Acquire and ingest data sources	0
`BDDS.2.4`	BDDS.2.4 Develop data hypotheses and methods	0
`BDDS.2.5`	BDDS.2.5 Integrate and align data for analysis	0
`BDDS.2.6`	BDDS.2.6 Explore data using models	0
`BDDS.2.7`	BDDS.2.7 Deploy and monitor	0
`BOK`	DAMA-DMBOK2: what it is, its editions, and what is held	0
`CDMP`	The CDMP certification and the DMBOK2 as its examination reference	0
`CONTEXT`	The context chapters of the second edition	0
`CTX-BDDS`	Big data and data science	0
`CTX-ETHICS`	Data handling ethics	0
`CTX-MAT`	Data management maturity assessment	0
`CTX-OCM`	Data management and organizational change management	0
`CTX-ORG`	Data management organization and role expectations	0
`DA.2.1`	DA.2.1 Establish data architecture practice	0
`DA.2.2`	DA.2.2 Integrate with enterprise architecture	0
`DG.2.1`	DG.2.1 Define data governance for the organization	0
`DG.2.10`	DG.2.10 Engage in issue management	0
`DG.2.11`	DG.2.11 Assess regulatory compliance requirements	0
`DG.2.12`	DG.2.12 Implement data governance	0
`DG.2.13`	DG.2.13 Sponsor data standards and procedures	0
`DG.2.14`	DG.2.14 Develop a business glossary	0
`DG.2.15`	DG.2.15 Coordinate with architecture groups	0
`DG.2.16`	DG.2.16 Sponsor data asset valuation	0
`DG.2.17`	DG.2.17 Embed data governance	0
`DG.2.2`	DG.2.2 Perform readiness assessment	0
`DG.2.3`	DG.2.3 Perform discovery and business alignment	0
`DG.2.4`	DG.2.4 Develop organizational touch points	0
`DG.2.5`	DG.2.5 Develop data governance strategy	0
`DG.2.6`	DG.2.6 Define the data governance operating framework	0
`DG.2.7`	DG.2.7 Develop goals, principles and policies	0
`DG.2.8`	DG.2.8 Underwrite data management projects	0
`DG.2.9`	DG.2.9 Engage change management	0
`DII.2.1`	DII.2.1 Plan and analyze	0
`DII.2.2`	DII.2.2 Design data integration solutions	0
`DII.2.3`	DII.2.3 Develop data integration solutions	0
`DII.2.4`	DII.2.4 Implement and monitor	0
`DMD.2.1`	DMD.2.1 Plan for data modeling	0
`DMD.2.2`	DMD.2.2 Build the data model	0
`DMD.2.3`	DMD.2.3 Review the data models	0
`DMD.2.4`	DMD.2.4 Maintain the data models	0
`DOC.2.1`	DOC.2.1 Plan for lifecycle management	0
`DOC.2.2`	DOC.2.2 Manage the lifecycle	0
`DOC.2.3`	DOC.2.3 Publish and deliver content	0
`DQ.2.1`	DQ.2.1 Define high quality data	0
`DQ.2.2`	DQ.2.2 Define a data quality strategy	0
`DQ.2.3`	DQ.2.3 Identify critical data and business rules	0
`DQ.2.4`	DQ.2.4 Perform an initial data quality assessment	0
`DQ.2.5`	DQ.2.5 Identify and prioritize potential improvements	0
`DQ.2.6`	DQ.2.6 Define goals for data quality improvement	0
`DQ.2.7`	DQ.2.7 Develop and deploy data quality operations	0
`DS.2.1`	DS.2.1 Identify data security requirements	0
`DS.2.2`	DS.2.2 Define data security policy	0
`DS.2.3`	DS.2.3 Define data security standards	0
`DSO.2.1`	DSO.2.1 Manage database technology	0
`DSO.2.2`	DSO.2.2 Manage databases	0
`DWBI.2.1`	DWBI.2.1 Understand requirements	0
`DWBI.2.2`	DWBI.2.2 Define and maintain the DW/BI architecture	0
`DWBI.2.3`	DWBI.2.3 Develop the data warehouse and data marts	0
`DWBI.2.4`	DWBI.2.4 Populate the data warehouse	0
`DWBI.2.5`	DWBI.2.5 Implement the business intelligence portfolio	0
`DWBI.2.6`	DWBI.2.6 Maintain data products	0
`ELEMENTS`	The framework elements: the DAMA wheel, context diagrams, activity groups and environmental elements	0
`FIRST-EDITION`	The first edition (2009) as the held ancestor of four knowledge areas	0
`HOLDINGS-2`	What the second crawl added: the complete table of contents of the second edition and chapter 1 in translation	0
`KA-DA`	Data architecture	0
`KA-DG`	Data governance	0
`KA-DII`	Data integration and interoperability	0
`KA-DMD`	Data modeling and design	0
`KA-DOC`	Document and content management	0
`KA-DQ`	Data quality	0
`KA-DS`	Data security	0
`KA-DSO`	Data storage and operations	0
`KA-DWBI`	Data warehousing and business intelligence	0
`KA-META`	Metadata management	0
`KA-RMD`	Reference and master data	0
`MAT.2.1`	MAT.2.1 Plan assessment activities	0
`MAT.2.2`	MAT.2.2 Perform maturity assessment	0
`MAT.2.3`	MAT.2.3 Interpret results	0
`MAT.2.4`	MAT.2.4 Create a targeted improvement programme	0
`MAT.2.5`	MAT.2.5 Re-assess maturity	0
`META.2.1`	META.2.1 Define metadata strategy	0
`META.2.2`	META.2.2 Understand metadata requirements	0
`META.2.3`	META.2.3 Define metadata architecture	0
`META.2.4`	META.2.4 Create and maintain metadata	0
`META.2.5`	META.2.5 Query, report and analyze metadata	0
`RMD.2.1`	RMD.2.1 Master data management activities	0
`RMD.2.2`	RMD.2.2 Reference data management activities	0
`WHEEL`	The DAMA wheel: eleven knowledge areas around data governance	0

Tell me when DAMA-DMBOK2 files something new

One email when a public company newly discloses something this framework governs, naming the company and what our corpus says it puts in scope. Nothing else, and one click to stop.

What an auditor will ask you to produce

The artefacts named on the failure modes this framework speaks to.

monitoring evidence
Supplier contracts
Due diligence records
Monitoring evidence
backup policy
recovery test report
security charter
board reporting pack
risk register
policy library

How programmes fail on this

Failure modes named by this framework and others. Each opens the full record.

no monitoring named by 5 frameworks
stale policies named by 4 frameworks
Thresholds not defined named by 3 frameworks
weak governance named by 3 frameworks
no governance named by 3 frameworks
Uncontrolled documents named by 3 frameworks

What this page is

A control-level reference for DAMA-DMBOK2, drawn from our framework corpus. Control codes and titles are references to the standard, not reproductions of it. The overlap counts and the auditor artefacts are our own work and are the part you will not find elsewhere.

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