Gain expertise in managing clinical trial information, including efficient data gathering methods and electronic capture systems, designed for medical experts.
Gain expertise in managing clinical trial information, including efficient data gathering methods and electronic capture systems, designed for medical experts.
This comprehensive course covers critical concepts and practical methods for managing data in clinical research. Led by experts from Vanderbilt University, it teaches students how to plan, collect, store, and disseminate research data effectively. The curriculum emphasizes hands-on learning with REDCap software, covering everything from basic data collection strategies to advanced electronic data capture techniques. Designed for both beginners and experienced researchers, the course provides practical skills in survey design, data quality management, and regulatory compliance.
4.7
(1,636 ratings)
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Instructors:
English
English (Original), Deutsch (Auto), हिन्दी (ऑटो), 19 more
What you'll learn
Learn comprehensive data collection and management strategies for clinical research
Master Electronic Data Capture (EDC) using REDCap software
Understand regulatory compliance and data privacy requirements
Develop skills in survey design and implementation
Gain practical experience in data quality monitoring
Learn best practices for sharing research data
Skills you'll gain
This course includes:
608 Minutes PreRecorded video
6 assignments
Access on Mobile, Tablet, Desktop
FullTime access
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There are 6 modules in this course
This comprehensive course teaches the fundamentals of data management in clinical research. Students learn essential skills in planning and implementing data collection strategies, using Electronic Data Capture (EDC) systems, particularly REDCap software. The curriculum covers critical aspects including standardization of study processes, regulatory compliance, survey design, and data quality management. Special attention is given to practical applications in various settings, including resource-limited environments and global health research. The course emphasizes hands-on experience through interactive assignments and real-world examples.
Research Data Collection Strategy
Module 1 · 2 Hours to complete
Electronic Data Capture Fundamentals
Module 2 · 2 Hours to complete
Planning a Data Strategy for Prospective Study
Module 3 · 2 Hours to complete
Practicing What We've Learned: Implementation
Module 4 · 4 Hours to complete
Post-Study Activities and Other Considerations
Module 5 · 3 Hours to complete
Data Collection with Surveys
Module 6 · 2 Hours to complete
Fee Structure
Payment options
Financial Aid
Instructors
Associate Professor
Stephany Duda, PhD, is an associate professor in the Department of Biomedical Informatics at Vanderbilt University. Her work focuses on clinical research informatics and global health informatics, particularly issues in data capture, data quality, and international observational databases.
Professor
Paul Harris, PhD, is an Associate Professor of Biomedical Informatics and Biomedical Engineering at Vanderbilt University, with around 15 years of experience in clinical research informatics. He directs the Vanderbilt Office of Research Informatics and is the creator and faculty lead for REDCap, a web-based data management platform used by over 1,100 academic and non-profit sites globally. Dr. Harris also teaches data management and translational research courses in the U.S., Japan, China, and India.
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4.7 course rating
1,636 ratings
Frequently asked questions
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