Integrity in data management seeks to ensure which of the following?

Integrity in data management is primarily concerned with the accuracy and completeness of data. This means that the information stored, processed, or transmitted is reliable and truthful, with no unauthorized alterations or omissions. Ensuring data integrity involves implementing measures that prevent data corruption and ensure that any changes made to the data are tracked and documented.

When data integrity is maintained, organizations can make informed decisions based on reliable data, which is critical for operational efficiency and compliance with regulations. The focus on ensuring that data is accurate reflects a commitment to quality in data management practices.

The other options, while relevant in the broader context of data management, do not directly define integrity. Accessibility refers to how easily data can be accessed, data transparency relates to the openness and clarity of data regarding its processing, and data marketing focuses on the strategies for promoting data products or services. These aspects are important, but they do not encapsulate the primary goal of maintaining data integrity.