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- What is a Clean Database?
- Where is it used in clinical trials?
- How does Clinion implement it?
- What does it look like in practice?
- Related Terms
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- What is a Clean Database?
- Where is it used in clinical trials?
- How does Clinion implement it?
- What does it look like in practice?
- Related Terms
- Related Articles
- Category
What is a Clean Database?
A clean database in a clinical trial is one in which all subject data has been thoroughly reviewed and processed. All data entries have been checked, discrepancies resolved, queries closed, and required approvals completed. Once the database is clean, it is considered reliable and suitable for database lock, statistical analysis, and final study reporting.
Where is it used in clinical trials?
In clinical trials, a clean database is applied at the point where study data must transition from collection to evaluation. It serves as the confirmed source for generating analysis datasets, preparing tables and listings, and supporting clinical and regulatory documentation. This stage ensures that results and conclusions are based on finalized study information.
How does Clinion implement it?
Clinion achieves a clean database by using built-in data management controls within its EDC system. Data entered into Electronic Case Report Forms is continuously checked through validation rules, edit checks, and controlled workflows. Queries are raised, tracked, and resolved directly within the system, with full audit trails capturing every change.
Role-based access, review and approval statuses, and real-time dashboards help data managers monitor data completeness and readiness. Once all required checks are completed and no pending issues remain, Clinion allows the study team to confirm the database as clean and proceed toward database lock.
What does it look like in practice?
In practice, a clean database appears as a study database where all subject records are complete and reviewed, with no open queries or pending corrections. eCRFs show finalized statuses, discrepancies have been addressed, and review sign-offs are in place.
Dashboards indicate full data completion across sites, and data managers can confidently generate analysis datasets, knowing the information is finalized and ready for the next study milestones.
Related Terms
Related Articles
Category
EDC & Data Management