Courses and workshops

Open, Reproducible and Transparent Science in Ecology


Bilde
Glacier-topped mountains behind a lake with a foreground of yellow flowers
View over Finsevatnet to Hardangerjokulen Photo: Aud Halbritter

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?

BIO940 – Reproducible workflows to manage, produce, use, and reuse FAIR data

Universities, journals, and funding bodies increasingly demand open and reproducible research practices across the scientific community. Research data needs to be FAIR (findable, accessible, interoperable, and reusable), workflows must be reproducible, and science must be transparent.

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, functions, R packages, reproducible documents, GitHub, reproducible environments, 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 prioritised) 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 (external link), 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 and meals). Note: Participants must organise and pay for their own travel to Finse.
  • Application Deadline: now extended to 8 September 2026

Format

We invite experts to give specialised 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

Organisers: This course is organised by Living Norway in collaboration with the University of Bergen (UiB), GBIF Norway, Nord University, the Norwegian Institute for Nature Research (NINA), Norwegian University of Science and Technology (NTNU), and the University of Oslo (UiO).