Data integrity refers to the accuracy, consistency, and reliability of data throughout its lifecycle. In the field of epidemiology, ensuring data integrity is critical because it directly impacts the validity of research findings, public health decisions, and policy formulations. Any compromise in data integrity can lead to incorrect conclusions and potentially harmful public health interventions.