Closed dagendresen closed 8 months ago
I would gladly contribute!
Great!! Thanks! Very happy you are positive! We can plan more when dates are closer, however, October and November are already starting to fill up incredibly fast. We do need to start planning to avoid too many of us becoming double-booked). (Assuming that the BioDT "bring-your-own-data/research-questions" should be the first priority for you and Desalegn in November).
I will be doing the teaching contribution from our side and build off of my already developed GBIF workshop material.
Event has happened and was attended by @dagendresen , @cjandrew , and @ErikKusch.
Quick Facts
Abstract
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.
Logistics
Related Project(s)
BioDT GBIF.NO_21-25
Post-Event Summary
Outcome
Event happened and was a success. Material might need to be tightened up a bit before next year's repeat.