Double entry is a data management technique employed in epidemiological research to ensure the accuracy and reliability of collected data. This process involves entering the same data twice, often by different individuals, and then comparing the two entries to identify and correct any discrepancies. By implementing double entry, researchers can significantly reduce data entry errors and enhance the overall quality of their datasets.
