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.
How the Course Works
Skills You'll Learn
Data Quality, Data Management, Data Validation, Clinical Research, Data Capture, Data Strategy, Clinical Data Management, Data Integrity, Regulatory Compliance, Data Collection, Data Sharing
Reviews
4.7 (1,770 ratings)
- 5 stars79.15%
- 4 stars17.79%
- 3 stars1.75%
- 2 stars0.62%
- 1 star0.67%
NA
Jul 31, 2023
I could not find a better course than this. The most interesting course in my career. I listened to every word of it. Special thanks to Mr. Paul Harris and his team for this masterpiece. Thank you.
EJ
Nov 13, 2019
Very excellent course with fun project assignments. I learned quite alot even though I already have a good amount of knowledge on data management! The professors are also engaging and professional.
From the lesson
Research Data Collection Strategy
This introductory module reviews the course structure and basic concepts in clinical research. We also discuss best practices for designing your clinical research data collection.
Taught By
Stephany Duda, PhD
Associate Professor
Paul Harris, PhD
Professor