DAMA-DMBOK, the Data Management Body of Knowledge, is DAMA International’s reference guide to what data management covers, organized into 11 knowledge areas with data governance at the center. It matters because it gives business and technical people one shared map of the work, and because its 11 areas make a ready-made scope for a data maturity assessment. This post covers the 2024 revised edition, its 17 chapters and how to use the book without reading all of it. It also answers the question the search results keep raising, whether there is a free PDF: there isn’t a legitimate one.
Key takeaways
- The current edition is the revised second edition, DMBOK2, which DAMA released in 2024 as a maintenance update of the 2017 second edition.
- DAMA says the 2024 revision made no material changes to the framework, the knowledge areas or their definitions; it redrew the 12 context diagrams, unified terminology and added a currency dimension to data quality (dama.org, checked November 2026).
- The book has 17 chapters: the 11 knowledge areas plus an introduction to data management and chapters on data handling ethics, big data and data science, maturity assessment, organization and roles, and change management (Technics Publications contents list).
- The DMBOK is a body of knowledge, not a method. Its chapter on maturity assessment has six levels but no way to score them, so you bring your own questions and scoring rules to its areas (Steenbeek, Data Crossroads, April 19, 2021).
- DAMA started the DMBOK 3.0 project with a kick-off on June 25, 2025, and its project page gives no publication date yet.
Updated November 2026
What is DAMA-DMBOK?
The DMBOK is a large reference book, written by practitioners, that describes the whole discipline of data management. For each part it covers the purpose, the activities, the roles, the deliverables and the techniques. Its best-known picture is the DAMA Wheel, which puts data governance in the hub and the other ten knowledge areas around the rim, to show that governance holds the rest together.
People search for it under several names. “DMBOK”, “DAMA-DMBOK”, “DMBOK2” and “the DAMA framework” all point to the same thing. DAMA is the organization; DMBOK is the book. When someone says their governance program is “DAMA-aligned”, ask what they mean. The useful answer is that they have used the DMBOK’s knowledge areas and role definitions as their structure. Its closest alternative is the EDM Association’s DCAM, which we set side by side with it in DAMA-DMBOK vs DCAM.
Our description here is in our own words. DAMA, DAMA-DMBOK, DMBOK and CDMP are trademarks of DAMA International, and Level Up Your Data is not affiliated with or endorsed by DAMA International or the EDM Council.
Who publishes it and which edition is current?
DAMA International publishes it. DAMA (the Data Management Association) is a not-for-profit, vendor-independent association of data management professionals, founded in Los Angeles in 1980 and run largely by volunteers through chapters around the world. The DMBOK itself is printed and sold by Technics Publications.
| Edition | Year | What changed |
|---|---|---|
| DAMA-DMBOK (first edition) | 2009 | The first body of knowledge for the discipline |
| DAMA-DMBOK2 (second edition) | 2017 | The 11 knowledge areas and the DAMA Wheel as the current edition still has them |
| DAMA-DMBOK2, revised edition | 2024 | A maintenance release: corrections, unified terminology, redrawn context diagrams, more on data quality, AI governance and ethics |
| DAMA-DMBOK 3.0 | In progress (kick-off June 2025) | DAMA says it will bring in AI, cloud and modern data platforms; no publication date announced |
So the revised DMBOK2 is the one to read now. If you own the 2017 printing, DAMA’s own summary of the revision is reassuring:
“No material changes were made to the overarching data management framework, knowledge areas, or their definitions.”
DAMA International, DAMA-DMBOK revision page
The detail did change, though. According to the revision page, the “data governance program” became the “data governance function” and data scientists are now named as data consumers. Critical data elements are defined, and the data quality chapter gained an appendix and a new dimension, currency. If you build an assessment on the DMBOK, use the revised terms, so your questions ask about a governance function rather than a program.
What is in it: the 11 knowledge areas at a glance
Eleven of the book’s 17 chapters are the knowledge areas. The descriptions below are ours, written for people who don’t own the book, with one sign you would see in an organization that does each area well.
| Knowledge area | What it covers | A sign it is working |
|---|---|---|
| Data governance (the hub) | Decision rights, accountability, policies and the forums that make them stick | Named owners and stewards, and a forum that actually decides things |
| Data architecture | The blueprint for how data flows, tied to the business strategy | Projects are checked against a current and target architecture |
| Data modeling and design | Conceptual, logical and physical models of the business’s data | Models kept in step with what is deployed |
| Data storage and operations | Running databases: backup, recovery, performance, retention | Recovery is tested, not assumed |
| Data security | Privacy, confidentiality and appropriate access | Data classified by sensitivity, access granted by role and reviewed |
| Data integration and interoperability | Moving data between systems and organizations, in batch, real time or by API | Shared patterns and monitored pipelines, fewer one-off interfaces |
| Document and content management | Documents, records, email and media | Records kept and disposed of on schedule |
| Reference and master data | Shared data everyone must agree on: customers, products, locations, code sets | One trusted version of each key entity, with an owner |
| Data warehousing and business intelligence | Decision-support data and the reports built on it | Certified data sets that leaders use to decide |
| Metadata management | Data about data: definitions, lineage, ownership, usage | A maintained glossary and lineage for critical reports |
| Data quality | Defining, measuring and improving fitness for use | Quality rules on critical data, with root causes fixed |
The other six chapters frame the areas. The first introduces data management itself. The rest cover data handling ethics, big data and data science, and data management maturity assessment. The last two are about people: how to organize a data management function and its roles, and how to manage the organizational change that comes with it. Both are worth reading early if you are setting up a governance program, because governance changes how people work, and that part is easy to underestimate.
What the DMBOK is not
Four things people expect the DMBOK to be, and it isn’t:
- A method. It tells you what good data management involves, but gives you no project plan or order of work, so every organization decides its own sequence.
- A ready-made assessment. The book lays out six maturity levels and what to judge each area on, without saying how to score or combine the results (Steenbeek, Data Crossroads, 2021). When we searched dama.org, we found no DAMA questionnaire either. Anyone selling “a DAMA maturity assessment” has written their own questions and scoring rules against DAMA’s areas.
- A product standard. It names no tools, which is why it travels well between platforms.
- Free. The PDFs that appear in search results for “dama dmbok pdf” are pirated copies; Technics Publications sells the PDF for US$79.95 and the print edition for US$99.95 (prices checked November 2026).
How to use the DMBOK in practice
It isn’t written to be read cover to cover: it runs to more than 500 pages and works as a reference. These are the uses that repay the effort.
- As the area list for an assessment. The 11 knowledge areas are a ready-made scope, recognized by anyone who knows the DMBOK. The next section shows how.
- As a checklist for a strategy or charter. Before you sign off a data strategy or a governance charter, walk the wheel. If an area has nothing in your plan, that should be a decision, not an oversight.
- As shared vocabulary. When finance, IT and risk argue about what a “data owner” or a “steward” is, the DMBOK’s role descriptions give you a neutral starting point that nobody in the room wrote.
- As a scoping tool for one area. Each knowledge area has a context diagram, a one-page summary of its goals, inputs, activities, deliverables and the people involved. For illustration: a team asked to “sort out master data” can use that one page to agree what is in and out of scope before the work starts.
- As a study text. DAMA calls the revised edition the reference for CDMP certification preparation, and Level Up Your Data covers the exams in its guide to mastering the CDMP exam.
One caution. The DMBOK describes the destination for each area in full. Treating every chapter as a requirement leads to programs that try to do everything at once. Score the areas, pick the two weakest that matter most, and use the chapters for those two.
Using the DMBOK for a maturity assessment
DAMA gives you the areas, and the book gives you six levels to describe them. You supply the questions and decide how answers become a score. This is how the 11 knowledge areas become a data maturity assessment that a leadership team can act on.
- Fix the scope. Each knowledge area becomes one assessment area with its own score. Keep data governance in scope even when the rest is narrowed, because it is the hub every other area depends on. Write down any area you leave out and why.
- Write questions people can answer. Ask about something people can see, with five answer states from 1 Initial to 5 Optimized and a “Don’t know” option. (The book’s chapter has six levels; we use five, and either works if you keep it fixed between assessments.) We use two questions per area for a quick baseline and six per area for a detailed one.
- Ask for the evidence. A level is only as good as what someone can show you. The table below lists the kind of evidence we would ask for in five of the areas.
- Score each area from 1 to 5. Average each person’s answers in the area, leaving “Don’t know” out, then average across the people. A score from 2.5 up to 3.5 is level 3, for example; our guide to running a data maturity assessment gives the full bands.
- Report the areas, not just the total. An overall score is the mean of the area scores; show it beside the 11 area scores, never instead of them.
| Knowledge area | Evidence to ask for | What it suggests |
|---|---|---|
| Data governance | Minutes of the last three governance meetings | Decisions recorded with an owner point to level 3 or above; meetings with no decisions, to level 2 |
| Metadata management | The business glossary, with an owner and a last-reviewed date per term | Terms with no owner or no recent review keep the area at level 2 at best |
| Data quality | Quality rules on critical data elements, with thresholds and a trend | A trend reviewed by the data owner is level 4 evidence |
| Data security | The last access review for a sensitive data set | No review on record means access is granted but never checked |
| Data storage and operations | The date and result of the last recovery test | Untested backups are level 1 or 2, whatever the policy says |
To score the areas with the team in one room, our guide to a DAMA maturity assessment sets out a one-day workshop. And for what each of the five levels looks like, see the rubric in our post on the data maturity model.
Frequently asked questions
What does DMBOK stand for?
DMBOK stands for Data Management Body of Knowledge. DAMA-DMBOK is the full name of the guide published by DAMA International, and DMBOK2 is its second edition, revised in 2024.
Is DMBOK2 still current?
Yes. The revised second edition, released in 2024, is the current version. DAMA began work on DMBOK 3.0 in 2025, but its project page gives no publication date.
Is DAMA-DMBOK a maturity model?
Not on its own. It is a body of knowledge that describes what data management covers. The book’s maturity chapter sets out six levels without a scoring method, so an assessment needs its own questions and scoring rules for the 11 knowledge areas. A DAMA maturity assessment workshop does exactly that.
Is there a free DMBOK PDF?
Not a legitimate one. The free PDFs in search results are pirated. The publisher, Technics Publications, sells the PDF and print editions, and DAMA’s website links to the official translations.
What is the difference between DAMA and DMBOK?
DAMA International is the not-for-profit professional association. The DMBOK is the reference book it publishes. DAMA’s members meet through local chapters in more than 70 countries.
Summary
DAMA-DMBOK is the reference map of data management: 11 knowledge areas around a governance hub, in a book now in its revised second edition. It tells you what good looks like and describes six maturity levels, but not how to get there or how to score yourself. Pair it with fixed questions and scoring rules, and start with the two areas where you are weakest.