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  2. Data Management Association - Wikipedia

    en.wikipedia.org/wiki/Data_Management_Association

    The Data Management Association (DAMA), formerly known as the Data Administration Management Association, [citation needed] is a global not-for-profit organization which aims to advance concepts and practices about information management and data management.

  3. Data governance - Wikipedia

    en.wikipedia.org/wiki/Data_governance

    The key focus areas of data governance include availability, usability, consistency, data integrity and security, and standards compliance. The practice also includes establishing processes to ensure effective data management throughout the enterprise, such as accountability for the adverse effects of poor data quality, and ensuring that the ...

  4. Data management - Wikipedia

    en.wikipedia.org/wiki/Data_management

    Data management comprises all disciplines related to handling data as a valuable resource, it is the practice of managing an organization's data so it can be analyzed for decision making. [ 1 ] Concept

  5. Enterprise data management - Wikipedia

    en.wikipedia.org/wiki/Enterprise_data_management

    Enterprise data management (EDM) is the ability of an organization to precisely define, easily integrate and effectively retrieve data for both internal applications and external communication. EDM focuses on the creation of accurate, consistent, and transparent content.

  6. FAIR data - Wikipedia

    en.wikipedia.org/wiki/FAIR_data

    Guides on implementing FAIR data practices state that the cost of a data management plan in compliance with FAIR data practices should be 5% of the total research budget. [14] In 2019 the Global Indigenous Data Alliance (GIDA) released the CARE Principles for Indigenous Data Governance as a complementary guide. [15]

  7. Master data management - Wikipedia

    en.wikipedia.org/wiki/Master_data_management

    Master data management (MDM) is a discipline in which business and information technology collaborate to ensure the uniformity, accuracy, stewardship, semantic consistency, and accountability of the enterprise's official shared master data assets.

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