What is a key purpose of maintaining 'Integrity' in data management?

Maintaining 'Integrity' in data management primarily focuses on ensuring that the data is accurate, consistent, and trustworthy throughout its lifecycle. When referring to data integrity, the key purpose is to verify that data is not altered or tampered with, either accidentally or maliciously. This means that any changes made to the data should be authorized and follow established protocols, thus protecting the authenticity of the information.

Data integrity involves implementing checks, validations, and controls to guarantee that the data remains accurate and uncorrupted as it is stored, processed, and retrieved. This is critical for decision-making processes, analytical outcomes, and maintaining the overall reliability of any system that uses the data.

While the other options mention important aspects of data management, such as security, accessibility, and encryption, these do not specifically relate to the core concept of integrity, which is about preserving the original state and correctness of the data.