How It Works

Get Your Membership Today


  • Networking and contacts in the leading professional association world-wide
  • Access to our DAMA Denmark Members Network Community for knowledgesharing
  • Train yourself and/or your staff through CDMP Certification
  • Influence locations / sectorisations of Global standards
  • Shape the future of Data Management in Denmark
  • Access to standard Data Management Body of Knowledge
  • Download DMBoK images
  • Access to DAMA EMEA Full-day conference

Membership

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Do you have questions, before signing up, please contact us at info@dama-dk.org

Individual Membership


This membership is an Individual Membership at DAMA Denmark
Annual fee 300 Dkk.

Corporate Membership


This is a Corporate Membership at DAMA Denmark a membership in bulk for 5 members
Annual fee 1200 Dkk.

Emails will be sent to sub-members, when these are created in the systems.


Student Membership


The student membership fee is free, during your study period.
Documentation of your study is a prerequisite.

Certified Data Management Professional (CDMP) Certification Program


Why Data Management Certification?

Professional certification is an indication of knowledge, skills and experience in a field. DAMA International has constructed the Certified Data Management Professional (CDMP) designation. The certification program gives data management professionals the opportunity to show professional growth that can enhance their personal and career goals.


Professionals participate in continuing education to stay current with best practices and to further develop specialised skills. Most data management training is generally focused on developing skills with specific technology products. The focus on technical training can mask the fact that Data Management is a business function.


The Certified Data Management Professional (CDMP) credential is awarded to those who qualify based on a combination of criteria including education, experience and test-based examination of professional level knowledge. This credential is offered at the Mastery or Practitioner level. To maintain certified status and continued use of the credential, an annual re-certification fee along with a 3-year cycle of continuing education and professional activity is required.

More info at DAMA International

To complete certain certification steps, you’ll be directed to the official website of DAMA International.


DAMA DK is part of a global network, and all exams, certification standards, and Master-level applications are managed directly by the international organization. When you continue, you’ll access their secure platform to explore certification details, book exams, review FAQs, or submit your application.


You can return to DAMA DK at any time, and we’re here if you need guidance along the way.

About Certification

Learn how DAMA International defines and maintains global standards for data management professionals.

Book an Exam

Choose your exam date and take the next step toward becoming a certified data professional.

FAQs

Find clear answers about eligibility, exam structure, preparation, and certification levels.

Submit Master

Submit your documentation and advance toward the highest level of professional recognition.

Publications


The DAMA DMBOK Framework


What is the DMBOK?


Data Management Body of Knowledge (DAMA-DMBOK Guide) is a collection of processes and best practices within the Data Management and Data Goverance area. The DMBOK contains generally accepted as best practices and references for each Data Management discipline.

Data Management (DM) is an overarching term that describes the processes used to plan, specify, enable, create, acquire, maintain, use, archive, retrieve, control, and purge data. These processes overlap and interact within each data management knowledge area.


THE PURPOSE OF THE DMBOK


The current DM environment can be a confusing combination of terms, methods, tools, opinion, and hype.


To mature this discipline, DAMA International’s Guide to the Data Management Body of Knowledge (DAMA-DMBOK) provides concepts and capability maturity models for the standardization of:


  • Activities, processes, and best practices
  • Roles and responsibilities
  • Deliverables and metrics
  • A maturity model


Standardization of data management disciplines will help data management professionals perform more effectively and consistently.

Data Management Knowledge Areas

The 11 Data Management Knowledge Areas are:

  • Data Governance
    Planning, oversight, and control over management of data and the use of data and data-related resources. While we understand that governance covers ‘processes’, not ‘things’, the common term is Data Governance.
  • Data Architecture
    The overall structure of data and data-related resources as an integral part of the enterprise architecture
  • Data Modeling & Design
    Analysis, design, building, testing, and maintenance
  • Data Storage & Operations
    Structured physical data assets storage deployment and management
  • Data Security
    Ensuring privacy, confidentiality and appropriate access to PII, PHI and an individuals private data. Ensuring network security as well
  • Data Integration & Interoperability
    Acquisition, extraction, transformation, movement, delivery, replication, federation, virtualization and operational support
  • Documents & Content
    Storing, protecting, indexing, and enabling access to data found in unstructured sources (electronic files and physical records), and making this data available for integration and interoperability with structured (database) data.
  • Reference & Master Data
    Managing shared data to reduce redundancy and ensure better data quality through standardized definition and use of data values.
  • Data Warehousing & Business Intelligence
    Managing analytical data processing and enabling access to decision support data for reporting and analysis.
  • Metadata
    Collecting, categorizing, maintaining, integrating, controlling, managing, and delivering metadata.
  • Data Quality
    Defining, monitoring, maintaining data integrity, and improving data quality.

Today’s organizations recognize that managing data is central to their success. They recognize the value of their data and seek to leverage that value. As human capacity to create and exploit data has increased, so too has the need for reliable data management practices.


This is what the DAMA-DMBOK is all about, among also the theory for the CMDP certification

Navigating the Labyrinth


Navigating the Labyrinth is a concise guide to data management, providing an executive’s overview to the DMBOK2. If you are leading an organization or if you need to communicate with leaders about data management, Navigating the Labyrinth is your guide.

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