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Singapore Clinical Research Institute (SCRI)

Data Management

Ensuring Data Integrity, Transforming Data Into Decisions

Last updated on 2 September 2026

Who We Are

What We Do

Protocol Review
Database Design & Build
Medical Coding
Ongoing Data Monitoring & Oversight
The image is of a flowchart that details Clinical Data Management Processes. These are the processes mentioned, in order: Protocol review, Case Report Form design, Database build; Data validation rules & edit check specifications, User acceptance testing & go-live readiness, Data review & query management, Medical coding (MedDRA & WHODrug), Ongoing data cleaning & issue resolution, Database freezing & database lock, final dataset extraction & transfer to Biostatistician, and lastly, Archival & Inspection Readiness. These processes are grouped into 3 groups- Study start-up, Study conduct, Study closure.

Why Choose Us?

Flexible Engagement Model

Choose from full-service data management, specific task-based services, or staff augmentation to fill temporary gaps. We scale our support based on your trial's needs.

Quality Assurance

Robust processes designed to maintain data integrity throughout the study's lifecycle.

Regulatory Compliance

CDM processes are guided by, and kept up to date with, principles from ICH-GCP.

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