Editing Data integrity (section)

{{Short description|Maintenance of data over its entire life-cycle}}
'''Data integrity''' is the maintenance of, and the assurance of, data accuracy and consistency over its entire [[Information Lifecycle Management|life-cycle]].<ref>{{cite web|last=Boritz |first=J. |title=IS Practitioners' Views on Core Concepts of Information Integrity |url=http://www.fdewb.unimaas.nl/marc/ecais_new/files/boritz.doc |work=International Journal of Accounting Information Systems |publisher=Elsevier |access-date=12 August 2011 |url-status=dead |archive-url=https://web.archive.org/web/20111005085820/http://www.fdewb.unimaas.nl/marc/ecais_new/files/boritz.doc |archive-date=5 October 2011 }}</ref> 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]],<ref>[https://www.veracode.com/blog/2012/05/what-is-data-integrity What is Data Integrity? Learn How to Ensure Database Data Integrity via Checks, Tests, & Best Practices]</ref> while [[data validation]] is a prerequisite for data integrity.<ref>[https://digitalguardian.com/blog/what-data-integrity-data-protection-101 What is Data Integrity? Data Protection 101]</ref>