Are you interested in Open Science and reproducible research? Our Course on Open, Reproducible and Transparent Science is targeted for early career researchers, but everybody is welcome. The application deadline for the course is approaching (8. September 2026).
BIO940 – Reproducible workflows to manage, produce, use, and reuse FAIR data
Do you want to gain hands-on skills in data management, make your data FAIR, and your workflows reproducible? Do you want practical training in open-source tools like R and GitHub?
The University of Bergen and Living Norway offer a hands-on course on methods and technologies to make research more open, reproducible, and transparent.
Key topics covered:
- Data wrangling, reproducible documents, GitHub, and pipeline tools
- Data publishing, storing, sharing, and reusing in relation to GBIF biodiversity data and Darwin Core Standards.
- Computer programming using the GBIF API (Application Programming Interface).
- Using Artificial Intelligence (AI) for supported programming.
Target Audience
The course is aimed at PhD students (who will be prioritized) as well as early-career researchers (MSc, postdocs) in ecology and related fields who produce their own data, use secondary data, or both. Some technical knowledge of programming in R is an advantage.
Course Details
- Dates: 19 – 24 October 2026
- Location: Finse Research Station, Norway
- Credits: 3 ECTS credits, issued by the University of Bergen upon active participation and completion of exercises.
- Course Fee: Approximately 4000 NOK (includes accommodation). Note: Participants must organize and pay for their own travel to Finse.
- Application Deadline: 8 September 2026
Format
We invite experts to give specialized lectures and provide hands-on training to practice your new skills. While we provide examples, we highly encourage students to bring their own data and coding problems to work on.
How to Apply
- To apply, please fill in this registration form.
For more details visit the official UiB course page: UiB BIO940 Course Description