Data quality monitoring ensures that the data collected remains consistent, accurate, and complete throughout the study. Implementing quality control measures such as double data entry, regular audits, and automated data checks can help identify and correct errors early. Continuous monitoring also allows for the identification of systematic issues that may affect the study’s outcomes.