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  2. Data quality - Wikipedia

    en.wikipedia.org/wiki/Data_quality

    In practice, data quality is a concern for professionals involved with a wide range of information systems, ranging from data warehousing and business intelligence to customer relationship management and supply chain management. One industry study estimated the total cost to the U.S. economy of data quality problems at over U.S. $600 billion ...

  3. ISO 8000 - Wikipedia

    en.wikipedia.org/wiki/ISO_8000

    ISO 8000 is the international standard for Data Quality and Enterprise Master Data.Widely adopted internationally [1] [2] [3] it describes the features and defines the requirements for standard exchange of Master Data among business partners.

  4. FAIR data - Wikipedia

    en.wikipedia.org/wiki/FAIR_data

    The data usually need to be integrated with other data. In addition, the data need to interoperate with applications or workflows for analysis, storage, and processing. I1. (Meta)data use a formal, accessible, shared, and broadly applicable language for knowledge representation. I2. (Meta)data use vocabularies that follow FAIR principles I3.

  5. Data governance - Wikipedia

    en.wikipedia.org/wiki/Data_governance

    The risks can be financial misstatement, inadvertent release of sensitive data, or poor data quality for key decisions. Methods to manage these risks vary from industry to industry. Examples of commonly referenced best practices and guidelines include COBIT, ISO/IEC 38500, and others. The proliferation of regulations and standards creates ...

  6. Data integrity - Wikipedia

    en.wikipedia.org/wiki/Data_integrity

    An example of a data-integrity mechanism is the parent-and-child relationship of related records. If a parent record owns one or more related child records all of the referential integrity processes are handled by the database itself, which automatically ensures the accuracy and integrity of the data so that no child record can exist without a parent (also called being orphaned) and that no ...

  7. Best practice - Wikipedia

    en.wikipedia.org/wiki/Best_practice

    A best practice is a method or technique that has been generally accepted as superior to alternatives because it tends to produce superior results. Best practices are used to achieve quality as an alternative to mandatory standards. Best practices can be based on self-assessment or benchmarking. [1]

  8. Data Quality Act - Wikipedia

    en.wikipedia.org/wiki/Data_Quality_Act

    The Information Quality Act (IQA) or Data Quality Act (DQA), passed through the United States Congress in Section 515 of the Consolidated Appropriations Act, 2001 (Pub. L. 106–554 (text)). Because the Act was a two-sentence rider in a spending bill , it had no name given in the actual legislation.

  9. Investment Data Standards Organization - Wikipedia

    en.wikipedia.org/wiki/Investment_Data_Standards...

    The Investment Data Standards Organization (IDSO) [1] is a U.S.-based organization that publishes Alternative Data standards.IDSO was established to support the growth of the Alternative Data industry through the creation, development, and maintenance of industry-wide standards and best practices.