Introduction

REDCap (Research Electronic Data Capture) has revolutionized clinical research data management by providing a secure, web-based platform designed for efficient data collection, storage, and analysis. REDCap for Clinical Research Data Training Course empowers researchers, data managers, and clinical teams to harness REDCap’s full potential, improving data integrity, regulatory compliance, and workflow efficiency. By mastering REDCap, participants will streamline project management, accelerate clinical trials, and ensure high-quality, reproducible research outcomes.

In today’s digital healthcare landscape, proficiency in REDCap is critical for success in clinical research. The course combines practical, hands-on exercises, real-world case studies, and interactive sessions to build skills in electronic data capture, database design, longitudinal study management, and regulatory-compliant reporting. Participants will leave equipped to implement best practices, optimize data workflows, and leverage REDCap to enhance decision-making and patient outcomes.

Programme Curriculum

REDCap for Clinical Research Data Training Course

Introduction

Course Duration

5 days

Course Objectives

Master REDCap platform for clinical research data collection and management
Develop secure and compliant electronic data capture systems
Implement longitudinal and multi-site study designs
Enhance clinical trial workflow efficiency and data quality
Conduct advanced data validation and error checking
Create dynamic surveys and patient-reported outcome tools
Integrate REDCap with other research and analytics platforms
Manage user roles, permissions, and audit trails
Apply regulatory compliance standards
Automate reporting and generate real-time dashboards
Utilize branching logic, calculated fields, and automated notifications
Conduct practical case studies to solve real-world clinical research problems
Optimize REDCap usage for evidence-based decision-making and research scalability

Target Audience

Clinical research coordinators
Data managers and clinical data specialists
Principal investigators and study directors
Biostatisticians and data analysts
Clinical trial monitors and auditors
Healthcare IT and informatics professionals
Graduate students and research fellows
Regulatory and quality assurance officers

Course Modules

Module 1: Introduction to REDCap and Clinical Data Management

Overview of REDCap platform and architecture
Key features and benefits in clinical research
Data security, privacy, and compliance protocols
Workflow integration for clinical trials
Case Study: Implementing REDCap for a multi-center oncology study

Module 2: Project Setup and Database Design

Creating and configuring new REDCap projects
Building forms, fields, and instruments
Field types, branching logic, and calculated fields
Customizing survey layouts for patient engagement
Case Study: Designing a longitudinal study database for cardiology research

Module 3: Data Collection & Electronic Surveys

Building web-based surveys and patient-reported outcomes
Survey invitations, reminders, and tracking responses
Ensuring data accuracy through real-time validation
Mobile data collection best practices
Case Study: Remote patient monitoring survey implementation

Module 4: User Management and Security

Managing user roles and permissions
Audit trails and activity logs
Data access restrictions for compliance
Implementing multi-site access controls
Case Study: Multi-site clinical trial with controlled user access

Module 5: Longitudinal and Repeated Measures Studies

Understanding events and arms in REDCap
Setting up follow-up visits and timelines
Linking participant data across timepoints
Managing missing data and dropouts
Case Study: Longitudinal diabetes cohort study

Module 6: Data Quality, Validation, and Cleaning

Automated data quality rules and alerts
Data discrepancy resolution workflows
Importing and exporting datasets for analysis
Ensuring consistency for statistical analysis
Case Study: Data cleaning in a vaccine trial dataset

Module 7: Advanced Features and Integrations

Calculated fields, branching logic, and automated alerts
REDCap API for integration with EHRs and analytics platforms
Real-time dashboards and reporting
Custom modules and external applications
Case Study: Integrating REDCap with a hospital EHR system

Module 8: Reporting, Analytics, and Regulatory Compliance

Generating real-time and scheduled reports
Data export for SAS, R, and SPSS
Regulatory reporting for audits and inspections
Best practices for documentation and compliance
Case Study: Preparing FDA-compliant clinical trial reports

Training Methodology

This course employs a participatory and hands-on approach to ensure practical learning, including:

Interactive lectures and presentations.
Group discussions and brainstorming sessions.
Hands-on exercises using real-world datasets.
Role-playing and scenario-based simulations.
Analysis of case studies to bridge theory and practice.
Peer-to-peer learning and networking.
Expert-led Q&A sessions.
Continuous feedback and personalized guidance.

Register as a group from 3 participants for a Discount

Send us an email: info@fineskilltrainingcenter.org or call +254769199797

Certification

Upon successful completion of this training, participants will be issued with a globally- recognized certificate.

Tailor-Made Course

We also offer tailor-made courses based on your needs.

Key Notes

a. The participant must be conversant with English.

b. Upon completion of training the participant will be issued with an Authorized Training Certificate

c. Course duration is flexible and the contents can be modified to fit any number of days.

d. The course fee includes facilitation training materials, 2 coffee breaks, buffet lunch and A Certificate upon successful completion of Training.

e. One-year post-training support Consultation and Coaching provided after the course.

f. Payment should be done at least a week before commence of the training, to Fineskill Training Center account, as indicated in the invoice so as to enable us prepare better for you.

Skills & Software Covered

Data entry Database management Survey design Clinical data reporting

Programme Fee

Duration: 5 Days

Method: Online or Physical

Online Price: $1,000

Physical Price: $1,500

Certification: Accredited Certificate

View Available Dates 📄 Download Course Outline (PDF)

Available Sessions

Location

Month

Year

Oct 19 2026

19 Oct — 23 Oct 2026

💻 Online / Virtual session

Online $1,000