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Data integrity

A telegram from 1896 reporting astronomical observations of two comets. The random words represent numbers, taken from a predefined list, in order to prevent transcription errors during transmission.

Data integrity is the maintenance of, and the assurance of, data accuracy and consistency over its entire life-cycle and is a critical aspect to the design, implementation, and usage of any system that stores, processes, or retrieves data. The term is broad in scope and may have widely different meanings depending on the specific contextVijayan Prabhakaran (2006). "IRON FILE SYSTEMS" (PDF). Doctor of Philosophy in Computer Sciences. University of Wisconsin-Madison. Archived (PDF) from the original on 2022-10-09. Retrieved 9 June 2012.

  • "Impact of Disk Corruption on Open-Source DBMS" (PDF). Archived (PDF) from the original on 2022-10-09.
  • Yupu Zhang; Abhishek Rajimwale; Andrea Arpaci-Dusseau; Remzi H. Arpaci-Dusseau (2010). "End-to-end data integrity for file systems: a ZFS case study" (PDF). USENIX Conference on File and Storage Technologies. CiteSeerX 10.1.1.154.3979. S2CID 5722163. Wikidata Q111972797. Retrieved 2014-01-02.{{cite journal}}: Cite uses deprecated parameter |citeseerx= (help)
  • "Industry 4.0 and Cyber-Physical Systems Raise the Data Integrity Imperative". Nymi Blog. Nymi, Inc. 24 October 2017. Archived from the original on 20 January 2018. Retrieved 20 January 2018.
  • Federal Standard 1037C. General Services Administration. Archived from the original on 2022-01-22. (in support of MIL-STD-188).
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