Open, Reproducible, and Transparent Science in Ecology

Manage, produce, use, and reuse data with reproducible workflows. A course at Finse Alpine Research Centre organized by the University of Bergen (UiB) Ecological and Environmental Change Research Group together with Living Norway and GBIF Norway, 14-18 November 2022.

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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 need to be reproducible, and science needs to be transparent. This aims to improve the efficiency and quality of research and thus increase the credibility of science. 

Do you want to gain new skills in data management, making your data FAIR, and your workflows reproducible? Do you want training in open-source tools such as GitHub and R that can be used to achieve this?

We offer hands-on training on methods and technologies to make research more open, reproducible, and transparent. The course is centered around the life-cycle of data from planning, managing, collecting, curating, analyzing, publishing, storing, sharing, and reusing data. It is aimed at Ph.D. students (will be prioritized) as well as early-career researchers in ecology, who produce their own data (i.e. collect data in the field/lab), use data from others (i.e. databases), or both.

The course will be held at the Finse Alpine Research Centre, from 14 - 18 November 2022. Students will be introduced to open science, data management, data repositories/databases, data standards (e.g. FAIRCARE), best practice, and reproducible workflows (e.g. data curation, analysis, GitHub, reporting results). Experts will give lectures on these topics and provide hands-on training that will give you opportunities to practice new skills. We will provide examples, but also encourage you to bring your own data and problems to work on.

The course fee (including accommodation) is covered by GBIF Norway but course participants have to organize and pay for their own travel to Finse.

Application deadline: 30 June 2022


The course is 2.5 ECTS credits. Sufficient preparation and active participation as well as completing the exercises are expected. A certificate for participating in the course will be issued by the University of Bergen.     

To apply, please send a short description (¼ page) of your research and how this course fits into your career plan. Send your application to Aud Halbritter ( and please mark the subject with APPLICATION OS Course and your name.


Location: Finse Alpine Research Center, 1222 meters above sea level, is located in the northwestern part of the Hardangervidda mountain plateau, and belongs to the faculties of mathematics and natural sciences at the universities of Bergen and Oslo. Accessible by train 4.5 hours from Oslo, or 2.5 hours from Bergen. The station is located 2 km east of the Finse railway station.

Weather: Finse is a mountain village at 1222 meters above sea level (60°36′N 07°30′E). Daylight at Finse in November is from 08:31 to 15:56, the mean temperature is -2 °C, and the average snow depth is 16 cm. During the winter, Finse is popular for cross-country skiing.

Live web camera from Finse


The course is organized by the University of Bergen in collaboration with GBIF Norway and Living Norway.

Tags: open science, Open data publication, FAIR data
Published May 13, 2022 1:26 PM - Last modified June 7, 2022 12:13 PM