What term describes the effort to ensure corporate data is accurate and valid?

The correct term that describes the effort to ensure corporate data is accurate and valid is data governance. Data governance encompasses the overall management of data availability, usability, integrity, and security. It involves establishing policies, procedures, and standards to ensure that data is managed properly and consistently across the organization. This includes processes for data quality management, ensuring that data is both accurate and trustworthy.

In contrast, master data management primarily focuses on creating a single, accurate view of critical business data across the organization. While it plays an important role in managing data quality, it is just one aspect of data governance, which has a broader scope.

Schema design refers to the structure of a database and how data is organized within it. While it's crucial for database construction, it does not directly address data accuracy or validity.

Database management refers to the tools and processes used to manage and operate databases, ensuring they run smoothly and efficiently, but it does not specifically focus on maintaining the quality and accuracy of the data itself.

Thus, data governance encompasses the comprehensive efforts needed to ensure that corporate data remains accurate and valid, making it the most suitable choice.