In data quality assessment, ________ refers to the process of verifying that all required data elements are present and populated.

Data completeness assessment involves ensuring that all required data elements or attributes are present and populated within a dataset. It verifies that no essential data fields are missing or left empty, which is essential for maintaining the integrity and usefulness of the data for analysis and decision-making purposes. Ensuring data completeness is a fundamental step in data quality management, particularly in scenarios where missing data can lead to biased or inaccurate analyses.