What term refers to procedures aimed at improving the quality of data?

The term that refers to procedures aimed at improving the quality of data is quality assurance. This process involves systematic activities implemented in a quality system to improve and maintain the quality of a product or service. In the context of data, quality assurance encompasses a range of procedures designed to monitor and enhance the accuracy, consistency, and reliability of data over time. These procedures can include regular audits, training of staff, data validation techniques, and the establishment of standardized protocols.

Quality assurance is crucial in ensuring that data collected for cancer registry, for instance, is accurate and useful for research and public health decisions. This term typically goes beyond just checking if the data is correct; it involves proactive steps to prevent errors and ensure high standards in data collection and management.

In comparison, while the other terms might seem relevant, they do not encompass the full scope of continuous improvement in data quality. Quality check usually refers more to a one-time assessment rather than ongoing procedures. Quality evaluation might involve examining data quality but does not always imply the systematic processes of continuous improvement that quality assurance encompasses. Data management refers to the overall practice of collecting, storing, and utilizing data but does not specifically focus on the quality aspect.