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Data resource management is the work of planning, governing, protecting, maintaining, and enabling the useful, responsible use of an organization’s data throughout its lifecycle. Contemporary guidance more often calls this broader discipline data management; “data resource management” is an alternate or historical name for it.
What does data resource management mean?
DAMA International defines data management as “the development, execution, and supervision of plans, policies, programs, and practices that deliver, control, protect, and enhance the value of data and information assets throughout their lifecycles.” In practical terms, it means deciding who is responsible for data, setting rules for how it is structured and handled, protecting it, maintaining its quality and context, and making it available for legitimate operational and analytical use.
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The phrase is not best understood as a separate modern discipline with a sharply different scope. An older DAMA functional framework says the function may be called Data Management, Data Resource Management, or Enterprise Information Management. DAMA’s current definition uses “data management.” DAMA International’s definition and its functional framework support that distinction.
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What work does it include?
Data resource management is broader than storing files, running databases, or maintaining IT systems. DAMA organizes data management into 11 knowledge areas, including governance, data quality, security, architecture, metadata, and integration and interoperability. Related areas cover data modeling, storage and operations, documents and content, reference and master data, and warehousing and analytics. These practices connect across the lifecycle rather than operating as isolated tasks.
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- Governance: Establish accountability, decision rights, policies, planning, monitoring, and control.
- Architecture and modeling: Define how data is organized and how systems and processes use it.
- Quality and metadata: Maintain data’s reliability, definitions, and context so people can interpret and use it appropriately.
- Security and operations: Protect data and manage its storage and day-to-day handling.
- Integration and use: Make data work across systems and support operational and analytical needs.
DAMA’s overview of data management and DMBOK reference page describe this breadth.
Why does it involve both data and information?
Data management deals with more than raw values. The Government of Canada describes data as representations of facts in forms such as text, numbers, graphics, images, sound, or video, and information as “data in context.” Context includes definitions, relationships, and the circumstances needed to interpret data correctly. Managing those meanings is part of making data usable and responsible, not an optional layer added after storage.
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Organizations may treat data as a valuable resource or information asset, but that does not make it interchangeable with a financial asset or give it one universal measurable value. Its usefulness depends on context, quality, stewardship, and the purposes for which it can legitimately be used. The Government of Canada definitions and DAMA’s definition help distinguish data from information in context.
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Who is responsible for managing data?
Responsibility is shared across business and technical roles. Business teams understand what data means and how it supports work; technical teams build and operate the systems that store, protect, and move it. The older DAMA framework describes business data stewards and technical stewards, while governance clarifies authority and control across the connected practices. Data management is therefore not solely an IT department’s database-administration responsibility.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Is a framework the same as an implementation plan?
No. DAMA describes its Data Management Body of Knowledge (DMBOK) as a structured, consensus-based reference—not an exhaustive inventory of everything a data professional needs to know, a prescriptive implementation recipe, or a guarantee of compliance or business outcomes. Organizations can use a framework to organize decisions, then adapt responsibilities and practices to their legal, operational, and business context.
DAMA identifies DAMA-DMBOK 2.0 Revision as its current reference framework. The organization describes the 2024 revision as a maintenance release that improved terminology, diagrams, and organization without materially changing the framework’s foundational structure, scope, knowledge areas, or definitions. DAMA says version 3.0 is in development, not already released. See the DAMA DMBOK Revision page for its status description.
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