Table 1.
Overview of commonly used data repositories in the neuroscience community and their features.
Fig 1.
Workflow for submitting and publishing a NeuroLibre preprint.
(a) The source files of a NeuroLibre preprint, including a markdown file in a public code repository (such as GitHub or GitLab) containing a high-level summary, a list of authors and affiliations, and a set of configuration files for declaring data and runtime dependencies for the executable content of the preprint. (b) Upon submission to NeuroLibre, a technical review is completed on GitHub using an editorial bot (RoboNeuro) to ensure the functionality of the preprint. (c) All the outputs associated with an accepted submission (Jupyter Book, generated PDF summary, Docker image and data) are assigned a DOI and transferred to the NeuroLibre production server for hosting.