What does data integrity ensure in a computing context?

Data integrity ensures the accuracy, consistency, and trustworthiness of data within a computing context. This concept is crucial in various fields, especially in databases and information systems, where it is essential that the information is correct and that it remains reliable over time.

When data integrity is maintained, it means that the information has not been altered or corrupted in any unauthorized way, and it aligns with the expected value throughout its lifecycle. This ensures that users can depend on the data for analysis, reporting, and decision-making, as any discrepancies could lead to erroneous conclusions and potentially harmful outcomes.

While the other options touch on important aspects of data management, they do not specifically define data integrity. High-speed data transfer rates relate to performance rather than the correctness of the data itself. Accessibility addresses how easily data can be obtained across platforms, which is separate from whether that data is trustworthy. Lastly, data redundancy focuses on having backup copies to prevent data loss but does not inherently ensure the integrity of the data in terms of its accuracy or consistency.