In short, data integrity aims to prevent unintentional changes to information. Moreover, upon later retrieval, ensure the data is the same as when it was originally recorded. The overall intent of any data integrity technique is the same: ensure data is recorded exactly as intended (such as a database correctly rejecting mutually exclusive possibilities). ĭata integrity is the opposite of data corruption. It is at times used as a proxy term for data quality, while data validation is a prerequisite for data integrity. 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. Maintenance of data over its entire life-cycleĭata 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.
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