Data integrity

Data integrity is the maintenance of, and the assurance of, data accuracy and consistency over its entire life-cycle.^[1] It 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 context even under the same general umbrella of computing. It is at times used as a proxy term for data quality,^[2] while data validation is a prerequisite for data integrity.^[3]

^ Boritz, J. "IS Practitioners' Views on Core Concepts of Information Integrity". International Journal of Accounting Information Systems. Elsevier. Archived from the original on 5 October 2011. Retrieved 12 August 2011.
^ What is Data Integrity? Learn How to Ensure Database Data Integrity via Checks, Tests, & Best Practices
^ What is Data Integrity? Data Protection 101

[1] Boritz, J. "IS Practitioners' Views on Core Concepts of Information Integrity". International Journal of Accounting Information Systems. Elsevier. Archived from the original on 5 October 2011. Retrieved 12 August 2011.

[2] What is Data Integrity? Learn How to Ensure Database Data Integrity via Checks, Tests, & Best Practices

[3] What is Data Integrity? Data Protection 101

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