Data integrity is maintained through rigorous quality control measures. Ensuring data accuracy involves regular audits, validation checks, and the use of standardized protocols for data collection and entry. It is essential to train personnel in data management and to employ sophisticated software tools that can detect and correct errors. These practices help in maintaining the reliability and validity of epidemiological data.
