What does data integrity management focus on ensuring?

Data integrity management is primarily concerned with ensuring that data remains accurate, consistent, and trustworthy throughout its lifecycle. This involves validating that the information is not only correct but also reliably maintained across different systems and uses. The focus is on maintaining the quality of the data as it is created, modified, and stored.

When we talk about data being in the proper state, it means that it conforms to expected formats, values, and constraints that have been defined for it. Accuracy ensures that the data reflects the true situation or values it is supposed to represent. For instance, if a database holds financial records, data integrity management ensures that these records are correct and reflect accurate financial transactions.

While other options do address important aspects of data handling and security, they do not capture the core focus of data integrity management like the aspect of accuracy and state of the data does. Anonymizing data, representing it with tokens for security, or scrubbing obsolete records are all related to privacy, security, and data lifecycle management, but they do not specifically emphasize the need for data accuracy and proper state, which is the essence of data integrity management.