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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

    Data collection or data gathering is the process of gathering and measuring information on targeted variables in an established system, which then enables one to answer relevant questions and evaluate outcomes. Data collection is a research component in all study fields, including physical and social sciences, humanities, [2] and business ...

  4. Database normalization - Wikipedia

    en.wikipedia.org/wiki/Database_normalization

    Database normalization is the process of structuring a relational database in accordance with a series of so-called normal forms in order to reduce data redundancy and improve data integrity. It was first proposed by British computer scientist Edgar F. Codd as part of his relational model .

  5. For example: In September 2024, Facebook’s parent, Meta, ... As AI is already permeating online services, misuse will further erode trust into the integrity of data protection.

  6. Biba Model - Wikipedia

    en.wikipedia.org/wiki/Biba_model

    The Biba Model or Biba Integrity Model developed by Kenneth J. Biba in 1975, [1] is a formal state transition system of computer security policy describing a set of access control rules designed to ensure data integrity. Data and subjects are grouped into ordered levels of integrity. The model is designed so that subjects may not corrupt data ...

  7. Referential integrity - Wikipedia

    en.wikipedia.org/wiki/Referential_integrity

    Referential integrity is a property of data stating that all its references are valid. In the context of relational databases , it requires that if a value of one attribute (column) of a relation (table) references a value of another attribute (either in the same or a different relation), then the referenced value must exist.

  8. Data validation - Wikipedia

    en.wikipedia.org/wiki/Data_validation

    Their implementation can use declarative data integrity rules, or procedure-based business rules. [2] The guarantees of data validation do not necessarily include accuracy, and it is possible for data entry errors such as misspellings to be accepted as valid. Other clerical and/or computer controls may be applied to reduce inaccuracy within a ...

  9. Contextual integrity - Wikipedia

    en.wikipedia.org/wiki/Contextual_Integrity

    The concept of contextual integrity have also influenced the norms of ethics for research work using social media data. Fiesler et al. studied Twitter users' awareness and perception of research work that analyzed Twitter data, reported results in a paper, or even quoted the actual tweets. It turned out that users' concerns were largely ...