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 (studie.bio@uib.no). The time of the first lecture/orientation meeting can be found in the schedule on the course website or on Mitt UiB.
Required Previous Knowledge
Recommended 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