Manage, produce, use, and reuse data with reproducible workflows
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 to 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 centred around the life-cycle of data from planning, managing, collecting, curating, analysing, publishing, storing, sharing and reusing data. It is aimed at PhD students (will be prioritised) 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 Hjerkinn Vandrerhjem Dovrefjell, from the 13. – 18. November 2023. Students will be introduced to open science, data management, data repositories/databases, data standards (e.g. FAIR, CARE), best practise and reproducible workflows (e.g. data curation, analysis, GitHub, reporting results). We will invite experts to give lectures on these topics and provide hands-on training that give the students opportunities to practise new skills. We will provide examples, but also encourage the students to bring their own data and problems to work on.
The course fee (including accommodation) is 7450 NOK. The course participants have to organise and pay for the travel to Hjerkinn themselves.
Application deadline: 3. September 2023
The course is 2.5 ECTS credits. Sufficient preparation and active participation and conducting the exercise 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 (firstname.lastname@example.org) and please mark the subject with APPLICATION OS Course 2023 and your name.
For more information and about previous courses see:
The course is organised by Living Norway in collaboration with the University of Bergen (UiB), Nord University, Norwegian Institute for Nature Research (NINA), Norwegian University of Science and Technology (NTNU), Norwegian University of Life Sciences (NMBU), University of Oslo (UIO) and the Norwegian GBIF node.