Data Management

We design and run data management processes that prioritise data quality, auditability and efficient decision-making, from study start-up through database lock.

Overview

Effective data management is more than cleaning discrepancies; it is about establishing reliable data flows that stakeholders can trust. We help organisations implement structures, tools and procedures that keep data accurate, timely and inspection-ready across the lifecycle of a study or programme.

Data Management

CRF and eCRF Design

Design case report forms that capture the right data with clarity, minimising ambiguity and rework.

Database Setup & Validation

Configure and validate study databases, edit checks and workflows to ensure reliable data capture.

Ongoing Data Cleaning & Reconciliation

Manage queries, reconciliations (e.g., safety, labs) and coding activities to keep data consistent and analysis-ready.

How We Work

Planning & Standards

We define standards for data structures, coding dictionaries and quality checks before the first subject is enrolled.

Step 1

Operational Data Management

Our teams manage day-to-day data review, query handling and reconciliation activities in close collaboration with sites and sponsors.

Step 2

Lock & Archiving

We coordinate database lock activities and ensure all documentation is complete, versioned and inspection-ready.

Step 3

Why This Matters

  • Higher data quality with fewer last-minute surprises near lock.
  • Clear, standardised data structures that simplify downstream analysis.
  • Reduced operational burden on internal teams and sites.
  • Confidence that data can withstand audits and inspections.

If you want reliable, analysis-ready data without constant escalation, our data management specialists can support your teams.

Talk to our team