The data can be cleaned as collected in REDCap using the Data Quality Module. This is done using rules that check for missing data, data in the wrong format, data in hidden fields, among other errors. There are several default rules that can be run and additional custom rules can be added. Some other data quality features in REDCap include the data comparison tool, the data resolution workflow, and record locking.

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