Description
Submitting author: @pbellec (Pierre Bellec)
Repository: https://github.com/pbellec/editorial_parcellation
Branch with paper.md (empty if default branch): main
Version: v1.0.0
Editor: @agahkarakuzu
Reviewers: @agahkarakuzu
Reproducible preprint: https://preprint.neurolibre.org/10.55458/neurolibre.00010
Repository archive: 10.5281/zenodo.10031956
Data archive: 10.5281/zenodo.10031958
Book archive: 10.5281/zenodo.10031954
Docker archive: 10.5281/zenodo.10031960
Status
Status badge code:
HTML: <a href="http://neurolibre.herokuapp.com/papers/e62c9b30f9d1748c1e395c178b74a932"><img src="http://neurolibre.herokuapp.com/papers/e62c9b30f9d1748c1e395c178b74a932/status.svg"></a>
Markdown: [](http://neurolibre.herokuapp.com/papers/e62c9b30f9d1748c1e395c178b74a932)
Reviewers and authors:
Please avoid lengthy details of difficulties in the review thread. Instead, please create a new issue in the target repository and link to those issues (especially acceptance-blockers) by leaving comments in the review thread below. (For completists: if the target issue tracker is also on GitHub, linking the review thread in the issue or vice versa will create corresponding breadcrumb trails in the link target.)
Reviewer instructions & questions
@anirudhk686, please carry out your review in this issue by updating the checklist below. If you cannot edit the checklist please:
- Make sure you're logged in to your GitHub account
- Be sure to accept the invite at this URL: https://github.com/openjournals/joss-reviews/invitations
The reviewer guidelines are available here: https://joss.readthedocs.io/en/latest/reviewer_guidelines.html. Any questions/concerns please let @agahkarakuzu know.
✨ Please start on your review when you are able, and be sure to complete your review in the next six weeks, at the very latest ✨
Review checklist for @anirudhk686
Conflict of interest
- I confirm that I have read the JOSS conflict of interest (COI) policy and that: I have no COIs with reviewing this work or that any perceived COIs have been waived by JOSS for the purpose of this review.
Code of Conduct
- I confirm that I read and will adhere to the NeuroLibre code of conduct.
General checks
- Repository: Is the source code for this software available at the repository url?
- License: Does the repository contain a plain-text LICENSE file with the contents of an OSI approved software license?
- Contribution and authorship: Has the submitting author (@pbellec) made major contributions to the software? Does the full list of paper authors seem appropriate and complete?
- Substantial scholarly effort: Does this submission meet the scope eligibility described in the JOSS guidelines
Functionality
- Installation: Does installation proceed as outlined in the documentation?
- Functionality: Have the functional claims of the software been confirmed?
- Performance: If there are any performance claims of the software, have they been confirmed? (If there are no claims, please check off this item.)
Documentation
- A statement of need: Do the authors clearly state what problems the software is designed to solve and who the target audience is?
- Installation instructions: Is there a clearly-stated list of dependencies? Ideally these should be handled with an automated package management solution.
- Example usage: Do the authors include examples of how to use the software (ideally to solve real-world analysis problems).
- Functionality documentation: Is the core functionality of the software documented to a satisfactory level (e.g., API method documentation)?
- Automated tests: Are there automated tests or manual steps described so that the functionality of the software can be verified?
- Community guidelines: Are there clear guidelines for third parties wishing to 1) Contribute to the software 2) Report issues or problems with the software 3) Seek support
Software paper
- Summary: Has a clear description of the high-level functionality and purpose of the software for a diverse, non-specialist audience been provided?
- A statement of need: Do the authors clearly state what problems the software is designed to solve and who the target audience is?
- State of the field: Do the authors describe how this software compares to other commonly-used packages?
- Quality of writing: Is the paper well written (i.e., it does not require editing for structure, language, or writing quality)?
- References: Is the list of references complete, and is everything cited appropriately that should be cited (e.g., papers, datasets, software)? Do references in the text use the proper citation syntax?