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