Data Collection and Management in Medical Research
Learn how to design, collect, and manage high-quality health research data — from quantitative methods and online surveys to REDCap data management and ethical best practices. A practical, CRENC-IeDEA case-study-based module for researchers and data collectors.
Design tools. Protect participants. Trust your data.
Learn how to design, collect, and manage high-quality health research data — from quantitative methods and online surveys to REDCap data management and ethical best practices. A practical, CRENC-IeDEA case-study-based module for researchers and data collectors.
Distinguish when to use questionnaires, interviews, checklists, biometric measurements, or data extraction sheets based on your study design and objectives.
Build clear, well-structured paper or electronic tools — from REDCap forms to online surveys — with proper validation rules, skip logic, and quality controls built in.
Identify non-response, missing data, measurement bias, security gaps, and ethical pitfalls before they compromise your study.
Turn your collection process into a secure, well-documented workflow — from field data capture through verification, validation, and ethical data sharing.
Know exactly what to do next.
Lessons are organized into short, completable steps so learners can make progress even during a busy clinical or research week.
Small supports that keep learners moving.
Clear steps make the course easier to finish alongside clinical and research duties.
Use course examples and checklists to apply learning in real research workflows.
English and French course support helps teams learn across language contexts.
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