Clinical trials and research studies are governed by strict regulations that require controlled, validated software to collect data accurately and efficiently.
Di-EDC is a purpose-built Electronic Data Capture platform from DiData, designed to deliver protocol-aligned, inspection-ready clinical data within a controlled, validated ecosystem.
Di-EDC is a controlled clinical data capture system designed for regulated trials. Built on the same data integrity principles that underpin DiData's LIMS platforms, Di-EDC ensures that clinical trial data is:
DiData didn't just deliver a software-they became Garvan's partner. They customized Di-LIMS to fit perfectly, guided the rollout, and stuck around to troubleshoot. It was teamwork that made the magic happen.
Generic form tools and spreadsheets cannot support regulated clinical data collection.
Manual CRFs and spreadsheet-based data entry introduce errors that compromise data accuracy and reliability across sites.
Unstructured forms lead to inconsistent datasets, making validation, analysis, and submission complex and error-prone.
Generic tools cannot reliably enforce protocol rules, visit schedules, or conditional logic required in clinical trials.
Validation history, data changes, and approvals are often incomplete or unreliable, putting regulatory compliance at risk.
Di-EDC is purpose-built to support the entire clinical data lifecycle:
Build protocol-driven eCRFs with controlled logic, required fields, and versioning for every study phase.
Ensure clean data capture at each site through predefined forms, constraints, and role-based controls.
Detect missing data, discrepancies, and deviations early through automated checks and query workflows.
Control review, approval, and validation steps with role-based permissions and electronic signatures.
Generate structured, submission-ready datasets with full traceability from entry to export.
Monitor enrollment progress, data status, and query resolution in real time through centralized dashboards.
Generic form tools and spreadsheets cannot support regulated clinical data collection.
Import lab results directly into CRFs
Connect via HL7 and APIs
Best practices for interoperability
The result: faster reviews, fewer corrections, and higher confidence in the data.
Di-EDC is built for regulated clinical research environments.
If your priority is accurate, compliant, and submission-ready clinical data, Di-EDC provides the structure and control your studies require.