Clinical Data Management from
CEBIS supports clinical studies with data-management services designed to help collect, review, clean, reconcile and prepare study data for statistical analysis and reporting.
Data activities can be coordinated with clinical operations, biostatistics, safety and clinical technology throughout the study.
A Structured Approach from
Start-Up to Final Data
Study Build
Prepare study-specific data structures around the protocol and visit schedule.
Data Management Planning
Define how study data will be collected, reviewed, cleaned and prepared for final use.
Data Collection
Capture information through study CRFs/eCRFs and related data sources.
Data Review & Cleaning
Identify missing, inconsistent or potentially incorrect information and coordinate resolution.
Reconciliation
Align relevant clinical, safety and laboratory data where required.
Database Lock
Complete final review and prepare the cleaned database for analysis.
Export & Archive
Prepare appropriate study-data outputs and archival materials.
Data Structures Built
Around the Protocol
Data-management work begins before participant information starts entering the study database.
Support can include:
- Study database setup
- Study visit structures
- Data-entry workflows
- Study-specific configuration
- Database testing
- Version control
- Validation activities
Capturing the Data
CRF / eCRF Design
Develop forms around the protocol and required study information.
Edit Checks
Apply programmed checks to identify incomplete or inconsistent data.
Data-Entry Guidance
Provide clear instructions for entering study information.
Validation
Support structured review of captured data as the study progresses.
Keeping Study Data
Complete and Consistent
Clinical data needs ongoing review while the study is active.
CEBIS can support identification and resolution of missing, inconsistent or questionable study information before the database moves toward final lock.
Key activities can include:
- Data review
- Discrepancy identification
- Query generation and follow-up
- Data cleaning
- Data validation
- Site-data follow-up
- Documentation of resolved items
Connecting Data
SAE Reconciliation
Coordinate comparison of relevant clinical and safety information where required.
Laboratory Data
Support handling and review of laboratory reference ranges and study laboratory information.
Cross-Functional Review
Work with clinical, safety and other study teams to resolve outstanding data differences.
Preparing Clean
Final Review
Confirm outstanding data issues have been addressed.
Database Lock
Complete the agreed lock process once the study data is ready.
Data Export
Prepare required study-data outputs for downstream analysis.
Archive
Retain appropriate study-data materials according to the agreed process.
Data Management
Does Not Work in Isolation
Data-management activities need to remain connected to the people generating, reviewing and analyzing the study information.
CEBIS can coordinate Data Management with:
- Clinical Operations
- EDC / eCRF
- Medical Monitoring
- Statistical Programming
- Site Management & Monitoring
- Pharmacovigilance
- Biostatistics
- Medical Writing
Need Data Management Support for Your Clinical Study?
Tell us about your protocol, study phase, data sources, sites, systems and expected timeline. A member of the CEBIS team can discuss the appropriate data-management approach.