How to validate an EDC system for 21 CFR Part 11

You stay responsible for the systems your study runs on. Validate your EDC with a risk-based plan, reuse the vendor's evidence and test what your study adds.

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Key takeaways

The sponsor stays responsible for validation, even with a SaaS vendor.
Scale the effort to risk: test what touches critical data and signatures.
Reuse the vendor's validation package and assess the vendor once.
Validate each study build with user acceptance testing and keep the evidence.

Validating an EDC means proving, with documents, that the system does what you need and keeps data trustworthy. Regulators ask for it under 21 CFR Part 11 in the United States, EU Annex 11 and the EMA guideline on computerised systems in clinical trials in Europe, and the computerised systems section of ICH E6. With a cloud EDC, the vendor validates the platform and you validate its use in your study.

What Part 11 asks for

Part 11 covers electronic records and signatures: validation, audit trails that record who changed what and when, access limited to authorised users, operational checks, and signatures linked to their records. Your validation shows these controls work in the system you use.

How to validate an EDC in 7 steps

Write the validation plan. Define scope, roles, the risk approach and the deliverables. GAMP 5 classes a configured EDC as category 4, which needs less testing than custom code.
Assess the vendor. Audit the vendor's quality system, development process and validation package, on site or by questionnaire.
Write your requirements. List what your studies need: roles, audit trail, signatures, randomization, exports. Rank each by risk to patient safety and data integrity.
Reuse the vendor's testing. Where the vendor tested a function, review the evidence and skip the retest. Test what the vendor cannot know: your configuration and your processes.
Test each study build. Run user acceptance testing on the eCRF, edit checks, randomization and exports before go-live.
Trace requirements to tests. A traceability matrix shows each requirement and the test that proves it.
Control changes. Assess each vendor release and each study amendment, retest what the change touches, and sign the validation report.

Mistakes to avoid

Testing everything the same way. Script-heavy testing of low-risk screens costs weeks and adds no assurance.
Treating a vendor certificate as your validation. ISO 27001 covers security, and your study build still needs acceptance testing.
Ignoring releases. A SaaS EDC changes every few weeks. Read the release notes and assess each one.

What Datacapt provides

Datacapt is built for GCP and 21 CFR Part 11, with field-level audit trails, role-based access and electronic signatures. The system validation is documented and available on request, development, test and production environments are separated, and data sits in ISO 27001-certified, GDPR-compliant data centres, with HDS-certified hosting for health data. Before a study change reaches your sites, you run the build check to see what it would break, and you test the build on test participants while the study is still in draft. Datacapt deletes the test participants when you set the study live, so save your test evidence before go-live.