Data Management for Clinical Research
Gain expertise in managing clinical trial information, including efficient data gathering methods and electronic capture systems, designed for medical experts.
Course Cost
₹ 2,699
Beginner
Skill Level
16 Hours
Self-paced lessons
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.
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
Shareable certificate
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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
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Faculties
These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.
Frequently asked Questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.






