Which of the following terms describes data that has not been altered or destroyed intentionally?

Data integrity refers to the accuracy, consistency, and reliability of data throughout its lifecycle. It ensures that the data remains unchanged unless intended alterations are made, thereby preserving the authenticity and quality of the information. When data is described as having integrity, it indicates that it has not been modified or destroyed in a way that would compromise its original state, making it trustworthy for analysis and decision-making.

In contrast to data integrity, system integrity relates more to the functioning and security of the entire information system rather than individual data sets. Data redundancy refers to the duplication of data within a database, which can sometimes lead to inconsistencies rather than integrity. Risk control involves strategies and measures put in place to mitigate potential threats to data or systems, instead of focusing on the preservation or fidelity of the data itself. Therefore, data integrity is the most accurate term to characterize data that remains unaltered or undamaged intentionally.