The term validation goes hand-in-hand in any consideration or discussion about data integrity. In order for data to remain accurate and reliable, it must be validated adequately at key points along its lifecycle. Even systems with a moderate tolerance for an occasional data integrity issue may require non-repudiation for some types of data transactions. Non-repudiation means a user not being able to deny having performed an action or activity, or being able to verify a user’s action of an event’s origin. If a data system has very low tolerance for integrity issues, it will require a very high number of controls, and the concept of non-repudiation is a critical feature for the system. The number and type of controls implemented to preserve integrity must be adequate to the level of the data’s importance or tolerance for a mistake. It must be accounted for in the design, implementation, and usage of data in any system by implementing controls for data’s validity in processing, transit, and storage. Protecting data integrity means assuring the accuracy and reliability of data during its immediate involvement in processing, as well as over its longer term lifecycle.
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