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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.
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. FAIR, CARE), 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.