Data quality management involves a series of processes and standards that ensure the data is accurate and reliable. This includes data validation, data cleaning, and regular audits. In cancer research, high-quality data is crucial for drawing meaningful conclusions and developing effective treatments. Poor data quality can lead to incorrect findings and potentially harmful treatments.
