What Are the Key Components of Data Quality Assurance?
Data quality assurance in epidemiology involves several critical components:
Completeness: Ensuring that all necessary data points are collected. Accuracy: Verifying that the data correctly represents what it is supposed to measure. Consistency: Making sure that data is uniform across different datasets and time periods. Timeliness: Ensuring data is up-to-date and available when needed. Integrity: Protecting data from unauthorized access or alterations.
