This course presents critical concepts and practical methods to support planning, collection, storage, and dissemination of data in clinical research. Understanding and implementing solid data management principles is critical for any scientific domain. Regardless of your current (or anticipated) role in the research enterprise, a strong working knowledge and skill set in data management principles and practice will increase your productivity and improve your science. Our goal is to use these modules to help you learn and practice this skill set. This course assumes very little current knowledge of technology other than how to operate a web browser. We will focus on practical lessons, short quizzes, and hands-on exercises as we explore together best practices for data management.
Data Privacy in Global Research
Skills You'll Learn
Survey Design, Data Collection, Data Management, Clinical Data Management
Reviews
4.7 (1,109 ratings)
Feb 28, 2017
I find the course helpful and a good introduction into data management. I'm hoping that there is a follow up course to take us further and deeper in planning for a study and data analysis.
Feb 24, 2019
Great course, regardless the role you have in the research; you do improve your data management skill set. A fantastic course for beginners who are trying to increase their productivity.
From the lesson
Post-Study Activities and Other Considerations
In this week, we cover activities to wrap up your study and share data and results, as well as two lectures on other electronic sources of data that can be used in research. In response to learner requests, we've also added several lectures on clinical data management in resource-limited settings, in collaboration with research colleagues from Indiana University. This is a long week of videos, but next week will be short on videos in exchange!
Taught By
Stephany Duda, PhD
Associate Professor
Paul Harris, PhD
Professor
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