This module introduces foundational concepts in electronic data capture for clinical research, including standardizing study processes, selecting and using validated instruments, understanding data standards and terminology, recognizing key regulatory considerations, and identifying essential features of electronic data capture systems such as REDCap. It focuses on how these elements support compliant, efficient, and high-quality data collection and management.

This module examines how to plan a data strategy for a prospective research study by translating study procedures into structured, measurable data elements and organizing them into forms for electronic data capture. Using a real-world study example, it emphasizes identifying baseline and visit-level variables, accounting for confounding factors and exclusion criteria, and preparing an EDC workflow that supports accurate and consistent data collection.

This module focuses on implementing a prospective study in REDCap by building visit-level forms, configuring longitudinal events and user roles, using shared library instruments, and testing the project before launch. It also introduces essential mid-study data processes, including managing study changes, supporting interim reporting and safety monitoring, and conducting data quality assessment and auditing to maintain complete, accurate, and usable research data.

This module examines key post-study data management activities, including study closeout, record retention, data destruction, and sharing research results, methods, and data. It also introduces practical approaches to de-identifying research data, explores healthcare information systems and neuroimaging data sources used in research, and addresses data management considerations for multi-center studies, global research, mHealth, and resource-limited settings.

This final module focuses on collecting research data through surveys by covering survey design principles, questionnaire development, testing, administration, and analysis. It also demonstrates how to build, test, distribute, and review a survey project in REDCap, helping learners translate survey design decisions into practical data collection workflows.