In information systems, the process of ensuring data accuracy and security is mainly described by:

Data governance refers to a comprehensive framework that establishes policies, standards, and practices aimed at ensuring the accuracy, security, and proper usage of data within an organization. It encompasses roles, responsibilities, and processes that manage data effectively throughout its lifecycle.

The focus on data governance emphasizes the importance of ensuring that data is reliable, consistent, and protected against unauthorized access or breaches. This systematic approach includes defining who can access data, how data should be stored and processed, and how to maintain data quality over time, which is crucial for making informed decisions and complying with regulations.

In contrast, while data management deals with the general oversight of data, including its storage and retrieval, it doesn’t inherently prioritize accuracy and security to the extent that data governance does. Data validation specifically refers to the process of checking data for correctness and may be a component of wider governance practices. Data processing involves the operational aspects of manipulating data but doesn't directly address the governance aspects related to accuracy and security.

Thus, data governance stands out as the most comprehensive discipline that integrates various aspects of data accuracy and security within an organization.