https://peertube.watch/videos/watch/fe799300-f617-4dbb-9dc0-ecd913476006 The reproducibility crisis has shocked the scientific community. Different papers describe this issue and the scientific community has taken steps to improve on it. For example, several initiatives have been founded to foster openness and standardisation in different scientific communities (e.g. the INCF[1] for the neurosciences). Journals encourage sharing of the data underlying the presented results, some even make it a requirement. What is the role of open source solutions in this respect? Where are the problems with open source projects in (neuro-)sciences? In this presentation I will address these questions at the example of the entirely open-source based workflow in our laboratory[2] and our efforts in developing generic solutions for storing metadata[3] as well as unifying data and metadata storage[4] that we take together with the German Neuroinformatics Node (G-Node[5]). [1] https://incf.org [2] https://github.com/bendalab [3] https://github.com/g-node/python-odml [4] https://github.com/g-node/nix [5] https://g-node.org Speaker: Jan Grewe, Track: Open Research Tools and Technologies, Room: AW1.126, When: Saturday 1 February 2020, 10:30–11:00 (Brussels time), Schedule: FOSDEM 2020 event page, Slides & links The good and the bad sides of developing open source tools for neuroscience (slides), Licence: Creative Commons Attribution 2.0 Belgium (CC BY 2.0 BE) (as stated in the FOSDEM video archive). Attribution: “The good and the bad sides of developing open source tools for neuroscience” by Jan Grewe, FOSDEM 2020. Original recording: 2020/AW1.126/open_research_oss_tools_neuro.webm from the FOSDEM video archive. This channel is an unofficial mirror; FOSDEM is a free and non-commercial event organised by the community for the community. Fri, 16 Oct 2026 08:49:24 GMT https://validator.w3.org/feed/docs/rss2.html PeerTube - https://peertube.watch https://peertube.watch/lazy-static/avatars/3b284627-b75f-409e-ac2e-10f4c2946f43.png https://peertube.watch/videos/watch/fe799300-f617-4dbb-9dc0-ecd913476006 All rights reserved, unless otherwise specified in the terms specified at https://peertube.watch/about and potential licenses granted by each content's rightholder.