Data verification in epidemiology involves multiple steps and can vary depending on the study design and data collection methods. Common steps include:
Data Cleaning: This involves checking for and correcting errors and inconsistencies in the data. It may include removing duplicates, handling missing values, and correcting outliers. Data Validation: This step ensures that the data collected is in line with predefined criteria and standards. It may involve cross-checking with other data sources or using statistical methods to assess data quality. Source Verification: This involves confirming the data by returning to the original data sources or using additional sources to substantiate the findings.
