This course presents critical concepts and practical methods to support planning, collection, storage, and dissemination of data in clinical research.
Data Management for Clinical Research
Taught in English
Some content may not be translated
Sponsored by University of Toronto
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(1,559 reviews)
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There are 6 modules in this course
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.
What's included
6 videos1 reading1 quiz1 peer review1 discussion prompt
This module covers standards for study processes, concepts for regulatory compliance, and electronic data capture fundamentals.
What's included
9 videos1 quiz1 discussion prompt
This module reviews the process of planning data elements for a real-world research study.
What's included
9 videos1 quiz1 discussion prompt
This week, we set up an Electronic Data Capture (EDC) instrument in REDCap for the Morphine vs. Marinol Study. We also review data processes that occur during the running of a study, including an overview of key data quality operations.
What's included
9 videos1 quiz1 peer review1 discussion prompt
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!
What's included
12 videos1 quiz1 discussion prompt
In the final week, we cover how to collect data using surveys and review an example together. This week's assignment includes designing, distributing, and reporting on your own survey.
What's included
7 videos1 quiz1 peer review1 discussion prompt
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