REDCap (Research Electronic Data Capture), introduction, 5 hp
Course number | - |
Year | 2025 |
Type | Methodcourse |
Track | Cancer, Cardiovascular diseases, Drug development, Infection, Inflammation, Metabolism, Muscoloskeletal system, Neuroscience, Reproduction and development, |
Max participants | 20 |
Application deadline | 2024-11-30 |
Language | En |
Course leader | |
Department | |
Visiting address | |
Post address | |
Dates | |
Location | |
Course length | |
Course report |   |
Course plan | Course plan  |
Description
Introduction to the practical use of REDCap, a tool for electronic data collection in clinical research.
A series of four half-day seminars during a semester with the creation of your own database between the course sessions.
Before the start of the course, participants must have access to REDCap via UCR. Seminars take place on site at Uppsala University, webinars between course sessions.
To benefit from the course, you should have a planned or ongoing research project where REDCap can be used.
Learning outcomes
Be able to create, operate and close a database for clinical research using REDCap.
Be able to explain the possibilities and limitations legally and scientifically for such a database.
Contents
Four compulsory course sessions with optional webinars in between. Supervision in creating a research database and critically reviewing and being able to report data in a research database created with the help of REDCap
Instructions
One purpose of the course is for the participants to have a functioning database in REDCap to use for clinical research at the end of the course. Therefore, applicants with research projects that have direct use of such a database are given priority. The research project shall be described very briefly at the time of application.
Examination
Active participation in seminars. Creation of database. Constructive criticism as a user and reviewer of another course participant's database.
Literature
Primarily web resources, including relevant scientific articles.
Teaching staff
Jon Unosson, clinical researcher, IKV
Gustav Svensk, dataexpert, UCR
Torbjörn Rosenke, dataexpert, UCR
More information
Jon Unosson
jon.unosson@uu.se