Course catalogue doctoral education - VT24

  • Application can be done between 2023-10-16 and 2023-11-15
Application closed
Title Open science and reproducible research
Course number 2963
Programme 0-Not part of doctoral programme
Language English
Credits 3.0
Date 2021-03-08 -- 2021-03-19
Responsible KI department Department of Clinical Neuroscience
Specific entry requirements
Purpose of the course The purpose of the course is to provide an overview of current challenges in reproducibility and to provide tools and skills for students wishing to practice science openly.
Intended learning outcomes After the course, students should be able to:
- Analyse reproducibility problems in science, including the impact of analysis flexibility and questionable research practices, and identify practices contributing to improved reproducibility
- Account for principles of replication research
- Preregister research protocols and assess others' preregistered research protocols
- Openly publish scientific works including data and code, and find and make use of scientific works, including data and code, published by others.
Contents of the course - The ""reproducibility crisis"" in biomedical sciences: what is it?
- Research fraud and questionable research practices
- Impact of bias due to analysis flexibility
- Observed statistical power and implications for inference
- Comprehensive methods reporting and field-specific guidelines
- Preregistration of protocols
- Replication research
- Open access publishing
- Open materials, open data, and open code
- Introduction to principles of data re-use in secondary analyses and meta-analyses
Teaching and learning activities The course will contain lectures, seminars, workshops, and a final assignment. The purpose of the lectures is to introduce the concepts covered by the course and to situate them in context. The seminars will cover the course literature, which the students will be expected to critically appraise. Computer-assisted workshops will be used as interactive learning activities to cover some parts of the course, e.g. statistical power.
Compulsory elements Participation in the seminars and labs is mandatory. Absence from a seminar may be compensated by writing a short reflection paper on the literature for that seminar. Participation in the final assignment presentation session is also mandatory.
Examination Examination consists of an assignment where students will be able to choose a topic related to the course content, and write a short report. For example, they may compare a preregistered protocol to the published scientific paper, or they may attempt to replicate results from a published paper using openly published data. This assignment will be presented before the class and students will give comments on each others' presentations.
Literature and other teaching material Scientific papers to be provided by the course organisers.
Number of students 8 - 20
Selection of students Selection will be based on 1) the relevance of the course syllabus for the applicant's doctoral project (according to written motivation), 2) start date of doctoral studies (priority given to earlier start date)
More information
Additional course leader
Latest course evaluation Course evaluation report
Course responsible Gustav Nilsonne
Department of Clinical Neuroscience
Contact person -