Description of the specific data management goals based on the organization-wide goals and organizational strategy. Is elaborated as a specialization of a goal in the organizational strategy.

Registration of the history of the maturity scans and description of the progression of the data management activities over time.

Description of the data roadmap (list of activities) based on an elaboration of the data strategy in a number of data-specific goals.

Data or information management principles set frameworks for change in the organization, often within projects within the data roadmap. Elaborated in the selection of existing standards such as DMBoK, ArchiMate. The frameworks are developed on the basis of principles based on the principles within the enterprise architecture.

Those involved in data management, for example, the data owner, steward and other roles involved.

Developing and managing a framework and guidelines register, such as a list of data principles, standards and possibly data requirements related to the enterprise principles.

Elaboration of the conceptual data entities including names, definition and synonyms. Can be grouped into a domain.

Elaborated Conceptual data model in a (meta data) register in a representation accessible to stakeholders.

Regularly carrying out a maturity scan and analyzing the results to determine a roadmap and adjust the goals and frameworks within data governance. For example, with the maturity scan from DaMa(NL).

RASCI matrix for elaborating which data subjects participate in the data entities and how. This is based on RASCI in a matrix.

Aggregation of the various registers, administration and metamodels for data management (knowledge areas).