Data accuracy in epidemiology refers to the degree to which the data correctly reflects the true state of the phenomena it aims to measure. This includes the correctness of measurements, the validity of data collection methods, and the reliability of the data sources. Accurate data minimizes errors, biases, and misclassification, ensuring that the findings are a true representation of reality.