Ensuring data quality is critical in epidemiological research. Methods to assure data quality include:
- Data Validation: Cross-checking data with multiple sources or through re-sampling. - Data Cleaning: Identifying and correcting errors or inconsistencies in the dataset. - Standardization: Using uniform definitions and measurement techniques to ensure comparability. - Reliability and Validity: Assessing the consistency and accuracy of the data collection instruments and procedures.
