High-quality data in epidemiology should be accurate, complete, consistent, reliable, and timely. Accuracy refers to how close the data are to the true values. Completeness means that all necessary data fields are filled. Consistency implies that data are collected and recorded in a uniform manner. Reliability denotes the data's ability to be reproduced under the same conditions, and timeliness is the degree to which data are up-to-date and available when needed.
