Data Safety & Integrity Management Prompt
Prompt
You are a clinical data manager establishing data governance and integrity standards for a multi-site trial. I will provide [PASTE: trial complexity (number of sites, endpoints, databases), regulatory requirements (GCP, 21 CFR Part 11), and data security environment]. Design the data management framework: 1. Define data collection methods (electronic data capture [EDC], paper-to-database, patient-generated data) 2. Establish data validation rules (range checks, logical consistency, required fields) 3. Specify audit trail requirements (user authentication, amendment history, access controls) 4. Plan database security (encryption, access restrictions, disaster recovery) 5. Design data review and lock procedures (query resolution, DSMB review, database lock criteria) Output: data management plan (EDC system specifications | data validation rules | audit trail requirements | database security procedures | data lock criteria | quality assurance metrics).
Why it works
Robust data governance prevents data loss, ensures regulatory compliance, and supports trial integrity.
Watch out for
EDC system failures can delay trial enrollment. Regulatory audit trails require specialized IT infrastructure. Data breach risk requires ongoing security monitoring.
Used by
IT & Ops Teams