Physical integrity deals with challenges which are associated with correctly storing and fetching the data itself. Depending on the data involved this could manifest itself as benign as a single pixel in an image appearing a different color than was originally recorded, to the loss of vacation pictures or a business-critical database, to even catastrophic loss of human life in a life-critical system. If the changes are the result of unauthorized access, it may also be a failure of data security. Data integrity is not to be confused with data security, the discipline of protecting data from unauthorized parties.Īny unintended changes to data as the result of a storage, retrieval or processing operation, including malicious intent, unexpected hardware failure, and human error, is failure of data integrity. 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). Definition 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. It is a critical aspect to the design, implementation, and usage of any system that stores, processes, or retrieves data. 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.
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