Methods for reproducible and open science
Postgraduate course
- ECTS credits
- 5
- Teaching semesters Spring
- Course code
- BIO302
- Number of semesters
- 1
- Teaching language
- English
- Resources
- Schedule
Course description
Objectives and Content
Learning Outcomes
Knowledge
Upon completion of the course, a student should know:
- The importance of reproducible and open methods in science
- The main causes of non-reproducible research
- Understand how questionable research practices can result in non-reproducible work
- Understand how pre-registration can help to avoid questionable research practices
- How to find and reuse published data
Skills
Upon completion of the course, a student should be able to:
- Use version control to manage their code and data
- Use the targets pipeline tool to manage their analyses
- Write a reproducible analysis
- Review code
- Develop an R package
General competence
Upon completion of the course, a student should:
- Be able to work reproducibly
ECTS Credits
Level of Study
Semester of Instruction
Spring.
This course has a limited capacity, enrolment is based on application. The application deadline is Wednesday in week 2 for the spring semester. Please see this page for more information. You will receive confirmation of whether you received a seat in Studentweb no later than Monday the week after the deadline.
It is compulsory to attend the first lecture/orientation meeting, or you risk losing your seat. If you are unable to attend the first lecture, you must contact the Study Section (
Required Previous Knowledge
Credit Reduction due to Course Overlap
Teaching and learning methods
Compulsory Assignments and Attendance
Forms of Assessment
Portfolio assessment
- Project using several of the elements taught in the course
- Reflexive essay on what they learned making the project
Example project:
- Reproduce analyses from a published paper
- Make an R package