Data quality in epidemiology is often evaluated based on several criteria, including accuracy, completeness, consistency, timeliness, and relevance. High-quality data should be free from errors, comprehensive, uniformly recorded, up-to-date, and pertinent to the study objectives. Each of these dimensions can be impacted by various factors, leading to variability in data quality.
