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  2. 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 ...

  3. Data collection - Wikipedia

    en.wikipedia.org/wiki/Data_collection

    The goal for all data collection is to capture evidence that allows data analysis to lead to the formulation of credible answers to the questions that have been posed. Regardless of the field of or preference for defining data ( quantitative or qualitative ), accurate data collection is essential to maintain research integrity.

  4. Generalizability theory - Wikipedia

    en.wikipedia.org/wiki/Generalizability_theory

    The answers to these questions will vary from one researcher to the next, and will drive the design of a G study in different ways. In addition to deciding which facets the researcher generally wishes to examine, it is necessary to determine which facet will serve as the object of measurement (e.g. the systematic source of variance) for the ...

  5. Intelligence source and information reliability - Wikipedia

    en.wikipedia.org/wiki/Intelligence_source_and...

    The source reliability is rated between A (history of complete reliability) to E (history of invalid information), with F for source without sufficient history to establish reliability level. The information content is rated between 1 (confirmed) to 5 (improbable), with 6 for information whose reliability can not be evaluated.

  6. Data quality - Wikipedia

    en.wikipedia.org/wiki/Data_quality

    All data sourced from a third party to organization's internal teams may undergo accuracy (DQ) check against the third party data. These DQ check results are valuable when administered on data that made multiple hops after the point of entry of that data but before that data becomes authorized or stored for enterprise intelligence.

  7. Records management - Wikipedia

    en.wikipedia.org/wiki/Records_management

    The ISO 15489-1: 2001 standard ("ISO 15489-1:2001") defines records management as "[the] field of management responsible for the efficient and systematic control of the creation, receipt, maintenance, use and disposition of records, including the processes for capturing and maintaining evidence of and information about business activities and ...

  8. Information quality - Wikipedia

    en.wikipedia.org/wiki/Information_quality

    Accuracy can be seen as just one element of IQ but, depending upon how it is defined, can also be seen as encompassing many other dimensions of quality. If not, it is perceived that often there is a trade-off between accuracy and other dimensions, aspects or elements of the information determining its suitability for any given tasks.

  9. Research data archiving - Wikipedia

    en.wikipedia.org/wiki/Research_data_archiving

    Research data archiving is the long-term storage of scholarly research data, including the natural sciences, social sciences, and life sciences.The various academic journals have differing policies regarding how much of their data and methods researchers are required to store in a public archive, and what is actually archived varies widely between different disciplines.