Data Monitoring

To ensure high-quality data, a trial should be monitored. Data monitors are responsible for ensuring that eCRFs are accurate and complete, and for query management. This may involve source documentation verification, if data are transcribed from hard copy, checking for missing data, screening for errors and outliers, and execution of data quality rules. Data monitors usually can read eCRFs but not edit their content.

The following REDCap data workflow is suggested: 

Data entry staff and coordinators can add comments to data fields to assist the data monitor, e.g., to explain missing values, or the reassure the monitor that outliers are true values.

In small studies, data monitoring and coordination roles may be shared, but it is still important that data are checked after entry.

Instrument Locking

Record locking can be used by the data monitor to track which forms have been monitored. Records that are locked cannot be edited without first being unlocked. If a study is using electronic signatures then unlocking a form also clears the signature associated with the form. 

Although not strictly part of the monitoring process eSignatures can be used to signal the investigator’s review and approval of the study data. Unlocking a form to make changes will clear any signature associated with that form. eSignatures are not necessarily required to demonstrate accountability (as required by GCP).

An overview can be obtained from the dashboard by selecting status type, as appropriate.

Form status is also displayed at the end of each record.

Data Quality Rules

REDCap’s data quality module allows the study team to implement data quality rules (edit checks). Typically these rules would be developed and used by data management staff. However they could also be developed for use by study monitors (traditionally monitoring and data management roles have some similarity/overlap). Data quality is accessed from the right hand panel in REDCap.

Data Queries

These are raised by clicking on the speech bubble next to the data field. It is important to assign the query to an right person so that it appears in their data quality work flow. Once queries have been raised, send study personnel an email or use REDCap messenger (which can be programmed to send an automated email) to notify them that queries have been raised.