[PRE REVIEW]: Advances in training for data sonification: The sonoTrainings web platform

[editorialbot]

Submitting author: @NatashaBertaina (Natasha María Monserrat Bertaina Lucero)
Repository: https://github.com/NatashaBertaina/webTraining
Branch with paper.md (empty if default branch):
Version: v1.0
Editor: Pending
Reviewers: Pending
Managing EiC: Kevin M. Moerman

Status

Status badge code:

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[editorialbot]

Reference check summary (note 'MISSING' DOIs are suggestions that need verification):

OK DOIs

- 10.1017/S1743921312000440 is OK
- 10.22201/ia.14052059p.2022.54.01 is OK
- 10.48550/arXiv.2305.06943 is OK
- 10.1007/978-3-031-51723-5_53 is OK
- 10.5281/zenodo.7717030 is OK

MISSING DOIs

- No DOI given, and none found for title: The tactile graphics helper: providing audio clari...
- No DOI given, and none found for title: Inspecting spectra with sound: proof-of-concept & ...
- No DOI given, and none found for title: Sound training platform applied to astronomy

INVALID DOIs

- https://doi.org/10.1093/mnras/stac2590 is INVALID because of 'https://doi.org/' prefix
- https://doi.org/10.5281/zenodo.11091882 is INVALID because of 'https://doi.org/' prefix

[editorialbot]

Software report:

github.com/AlDanial/cloc v 1.90  T=0.03 s (1788.9 files/s, 129331.2 lines/s)
-------------------------------------------------------------------------------
Language                     files          blank        comment           code
-------------------------------------------------------------------------------
Python                          34            317            185           1133
HTML                            17             82             25            881
PO File                          2            163            342            723
TeX                              1              9              0             76
Markdown                         1             37              0             70
CSS                              1             10              0             43
YAML                             1              1              5             19
-------------------------------------------------------------------------------
SUM:                            57            619            557           2945
-------------------------------------------------------------------------------

Commit count by author:

    70	NatashaBertaina
    31	Natasha
    30	Gonzalo Cayo
     7	n.bertaina@alumno.um.edu.ar
     1	Gonza1290

[editorialbot]

Paper file info:

📄 Wordcount for paper.md is 1946

✅ The paper includes a Statement of need section

[editorialbot]

License info:

✅ License found: MIT License (Valid open source OSI approved license)

[editorialbot]

👉📄 Download article proof 📄 View article proof on GitHub 📄 👈

[editorialbot]

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[Kevin-Mattheus-Moerman]

@NatashaBertaina Dear author, thanks for this submission. I am the AEiC on this track and here to help process the initial steps. I have briefly reviewed the paper and the repository. Unfortunately this work is currently not conforming to JOSS standards. I will therefore proceed to reject this submission.

Major issues/concerns:

• The project and repository looks immature/incomplete, for instance it lacks a README.
• Links documentation and testing appear are missing. Unclear if documentation and automated testing are provided at all.
• Your project appears to lack contributing guidelines at the moment. Please work to add these and to mention/link to them in your README. You could for instance create a CONTRIBUTING.md file (see here for some examples: https://contributing.md/example/).
• For web applications, having a demo site deployed is good. Add this and link to it in the README if possible.
• The work appears to assist in teaching/training. However JOSS is for "scientific research software", the application to research for this work is not clear. Perhaps check if a journal like https://jose.theoj.org/ would be better. If JOSS remains your choice, then the application to scientific research should be made more clear.

Minor other points:

• Please study the above reference check ☝️ and see if you can address any of the reported potential DOI issues. You can add/amend DOI entries in your .bib file, and call @editorialbot check references here to check them again.
• Clarifying in the paper/README/descriptions that this is human training/teaching as opposed to AI/ML related training would be good.

Any potential re-submission should clearly address all the above points. However, given the relatively small size, the web-based functionality, and focus on education/training, it is likely it will be flagged for potentially being out of scope.

[Kevin-Mattheus-Moerman]

@editorialbot reject

[editorialbot]

Paper rejected.