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  2. 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 ...

  3. Internet governance - Wikipedia

    en.wikipedia.org/wiki/Internet_governance

    Internet governance consists of a ... several key technical and policy aspects of the underlying core infrastructure and the ... especially in the aspect of data ...

  4. Data management - Wikipedia

    en.wikipedia.org/wiki/Data_management

    However, data has to be of high quality to be used as a business asset for creating a competitive advantage. Therefore, data governance is a critical element of data collection and analysis since it determines the quality of data while integrity constraints guarantee the reliability of information collected from data sources.

  5. Data steward - Wikipedia

    en.wikipedia.org/wiki/Data_steward

    A data steward ensures that each assigned data element: Has clear and unambiguous data element definition; Does not conflict with other data elements in the metadata registry (removes duplicates, overlap etc.) Has clear enumerated value definitions if it is of type Code; Is still being used (remove unused data elements)

  6. Principles for a Data Economy - Wikipedia

    en.wikipedia.org/wiki/Principles_for_a_Data_Economy

    The Principles for a Data Economy – Data Rights and Transactions is a transatlantic legal project carried out jointly by the American Law Institute (ALI) and the European Law Institute (ELI). [1] The Principles for a Data Economy deals with a range of different legal questions that arise in the data economy. [2]

  7. Data quality - Wikipedia

    en.wikipedia.org/wiki/Data_quality

    Data Quality (DQ) is a niche area required for the integrity of the data management by covering gaps of data issues. This is one of the key functions that aid data governance by monitoring data to find exceptions undiscovered by current data management operations.

  8. Data sovereignty (data management) - Wikipedia

    en.wikipedia.org/wiki/Data_sovereignty_(data...

    Data sovereignty is the ability of a legal person or an organisation to control the conditions that data is shared under, and how that shared data is used, as if it were an economic asset. [ 1 ] [ 2 ] It can apply to both primary data and secondary data derived from data, or metadata . [ 3 ]

  9. Data sovereignty - Wikipedia

    en.wikipedia.org/wiki/Data_sovereignty

    Discussions of Indigenous data sovereignty for Indigenous peoples of Canada, New Zealand, Australia, and the United States of America are currently underway. [18] Data sovereignty is seen by Indigenous peoples and activists as a key piece to self-governance structures and an important pillar of Indigenous sovereignty as a whole. [8]