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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. 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 ...

  4. Parkerian Hexad - Wikipedia

    en.wikipedia.org/wiki/Parkerian_Hexad

    Integrity refers to being correct or consistent with the intended state of information. Any unauthorized modification of data, whether deliberate or accidental, is a breach of data integrity. For example, data stored on disk are expected to be stable – they are not supposed to be changed at random by problems with a disk controller. Similarly ...

  5. Digital preservation - Wikipedia

    en.wikipedia.org/wiki/Digital_preservation

    The cornerstone of digital preservation, "data integrity" refers to the assurance that the data is "complete and unaltered in all essential respects"; a program designed to maintain integrity aims to "ensure data is recorded exactly as intended, and upon later retrieval, ensure the data is the same as it was when it was originally recorded".

  6. Clark–Wilson model - Wikipedia

    en.wikipedia.org/wiki/Clark–Wilson_model

    Clark and Wilson argue that the existing integrity models such as Biba (read-up/write-down) were better suited to enforcing data integrity rather than information confidentiality. The Biba models are more clearly useful in, for example, banking classification systems to prevent the untrusted modification of information and the tainting of ...

  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. Information security - Wikipedia

    en.wikipedia.org/wiki/Information_security

    Information security is the practice of protecting information by mitigating information risks. It is part of information risk management. [1] It typically involves preventing or reducing the probability of unauthorized or inappropriate access to data or the unlawful use, disclosure, disruption, deletion, corruption, modification, inspection, recording, or devaluation of information.

  9. Five safes - Wikipedia

    en.wikipedia.org/wiki/Five_safes

    The Five Safes is a framework for helping make decisions about making effective use of data which is confidential or sensitive. It is mainly used to describe or design research access to statistical data held by government and health agencies, and by data archives such as the UK Data Service.