Free Lesson Preview
This is just the beginning
The full CRC track covers 8 courses from study start-up to close-out — the skills sponsors actually look for.
View enrollment optionsAlready enrolled? Sign in
Free GCP training
Professional tracks
Clinical Research Coordinator
Full course · Data Collection and Source Documentation
Free Lesson Preview
The full CRC track covers 8 courses from study start-up to close-out — the skills sponsors actually look for.
View enrollment optionsAlready enrolled? Sign in
Understand the SDV process, what monitors verify, how risk-based monitoring shapes SDV practices, and how centralized statistical monitoring detects data patterns.
There is a moment during every monitoring visit that defines the relationship between a coordinator and the data they have entered. The monitor opens the source document -- a vital signs worksheet, a laboratory printout, an electronic medical record note -- and places it beside the CRF. Then they look. Value by value, field by field, they compare what the source says to what the coordinator entered. This is source data verification, and it is one of the most consequential quality control activities in a clinical trial.
If you have experienced SDV before, you know the feeling. There is a low-grade tension in watching someone check your work, even when you know the work is good. But here is what I want you to understand before we go further: SDV is not an audit. It is not an adversarial inspection. It is a quality control mechanism designed to protect the integrity of the data that will ultimately inform whether a treatment reaches patients. The monitor is not trying to catch you in an error. They are trying to ensure that the data flowing from your site into the sponsor's database are accurate, complete, and consistent with what actually happened. When you understand SDV from this perspective -- as a collaborative verification rather than an examination -- it transforms how you approach your documentation, your data entry, and your relationship with the monitoring team.
This lesson explains what happens during SDV, what specifically monitors are checking, and how the monitoring landscape has shifted from exhaustive 100% verification to the targeted, risk-based approaches mandated by ICH E6(R3).
Progress saves itself — finish reading and this lesson completes