Loading content
Data governance roles define the responsibilities and accountabilities for handling data in organizations. They include positions such as data stewards, data owners, and data use teams to ensure that data is managed correctly and securely.
Use this profile to understand the building block briefly, place it in the model, and switch to the 360° assessment when needed.
Theoretical construct: explains a term, principle, or mental model.
What organizes, connects, or makes decisions possible.
Data governance roles assign responsibility for data, rules, quality, and decisions to named people or bodies.
The roles evolved from data management, information management, and compliance. No single author owns them; frameworks such as the Data Governance Institute’s make recurring responsibilities explicit.
Data owners decide business rules, data stewards maintain definitions and quality, and governance bodies resolve conflicts. Names depend on the organization and regulation.
Owns business decisions and risks.
Maintains definitions, quality, and daily rules.
Decides standards and conflicts.
Clear roles prevent accountability gaps and make data decisions traceable.
Where this building block is located in the topic model.
Explore how this building block connects to concepts, methods, technologies, and tools.
These sources establish the term and its professional meaning.
All direct connections of the current building block in a compact text view.
This classification shows where the building block typically matters, how demanding it is, and what kind of impact it has in the model.
The level within the organization (enterprise, domain, team) at which the AssetBlock is applied.