Data quality management involves a series of processes and practices aimed at maintaining high-quality data throughout its lifecycle. This includes data collection, entry, storage, analysis, and dissemination. Effective data quality management ensures that the data is accurate, complete, consistent, timely, and relevant for epidemiological studies.