What is the primary concern of data integrity in data management?

The primary concern of data integrity in data management revolves around data correctness. Data integrity refers to the accuracy, consistency, and reliability of data throughout its lifecycle. Ensuring data correctness means that the information stored and processed is accurate and free from errors, which is crucial for making informed decisions and maintaining trust in the data's reliability.

Achieving data integrity involves implementing measures such as validation rules, error-checking mechanisms, and regular audits. These practices help safeguard the data from being corrupted, lost, or misrepresented, thus ensuring that it remains a trustworthy resource for users and systems. This emphasis on correctness underpins all other aspects of data management, as reliable data is essential for effective data storage, accessibility, and analysis.