What is Data Management?

There are two popular definitions:
One from DAMA
“Data Resource Management is the development and execution of architectures, policies, practices and procedures that properly manage the full data lifecycle needs of an enterprise”
Another from DMBOK
“Data management is the development, execution and supervision of plans, policies, programs and practices that control, protect, deliver and enhance the value of data and information assets.”
Companies of all size have to manage their data in order to meet their customer’s requirements in a timely manner.

Industry specific definitions

In the medical and pharmaceutical communities, Data Management is a term generally used to describe analysis of database information which has been collected during clinical trials. It also is used to define how data is identified, collected, and analyzed to establish clear evidence of outcomes.
In the modeling and simulation world, Data Management is described as "model-based", and is defined as planning organizing, and managing of data by defining and using rules, methods, tools, and respective resources to identify, clarify, define, and standardize the meaning of data as pertains to relationships.
In the information technology arena, DM is defined as a type of client/server computing where some portion of the application data is executed on two or more computers. It is also described in its IT application as control of data handling operations – such as acquisition, analysis, translation, coding, storage, retrieval, and distribution of data – but not necessarily the generation and use of data.

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