What term describes the process in database management for modifying data to conform to a standard?

The term that best describes the process in database management for modifying data to conform to a standard is normalization. Normalization involves organizing the fields and tables of a database to minimize redundancy and dependency by dividing larger tables into smaller ones and defining relationships among them. This process helps to ensure that the data is consistent and adheres to certain standards, which is crucial for maintaining data integrity and improving the efficiency of database operations.

While standardization often refers to the broader objective of making different types of data consistent across systems or formats, normalization specifically focuses on structuring relational databases in a way that reduces complexity and improves data integrity. Aggregation is related to summarizing data for analysis but does not pertain to modifying data for standards. Data cleansing involves correcting or removing inaccurate records from a database but is not primarily about conforming to standards in the same way normalization is.