[PRE REVIEW]: geopolrisk-py: A Python-Based Library to Operationalize the Geopolitical Supply Risk Method for use in Life Cycle Assessment and Comparative Risk Assessment

[editorialbot]

Submitting author: !--author-handle-->@akoyamp<!--end-author-handle-- (Anish Koyamparambath) Repository: https://github.com/akoyamp/geopolrisk-py/ Branch with paper.md (empty if default branch): main Version: V2 Editor: Pending Reviewers: Pending Managing EiC: Arfon Smith

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Thanks for submitting your paper to JOSS @akoyamp. Currently, there isn't a JOSS editor assigned to your paper.

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[editorialbot]

Software report:

github.com/AlDanial/cloc v 1.90  T=0.02 s (676.7 files/s, 179043.7 lines/s)
-------------------------------------------------------------------------------
Language                     files          blank        comment           code
-------------------------------------------------------------------------------
Python                           6             87            333            725
Markdown                         3            134              0            638
TeX                              1              0              0            215
Jupyter Notebook                 1              0            955             63
YAML                             1              2              4             19
-------------------------------------------------------------------------------
SUM:                            12            223           1292           1660
-------------------------------------------------------------------------------

Commit count by author:

   113  Anish Koyamparambath
    24  Thomas Schraml
    12  Anish KOYAMPARAMBATH

[editorialbot]

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

✅ OK DOIs

- 10.1007/s11367-013-0670-5 is OK
- 10.1111/jiec.12865 is OK
- 10.1016/j.procir.2022.02.071 is OK
- 10.1007/s11367-022-02027-y is OK
- 10.21105/joss.00236 is OK
- 10.1016/j.resconrec.2023.106935 is OK
- 10.1016/j.resourpol.2021.102465 is OK
- 10.1016/j.jclepro.2015.01.082 is OK
- 10.1016/j.resconrec.2019.104617 is OK
- 10.1111/jiec.12279 is OK
- 10.1016/j.jclepro.2016.07.214 is OK
- 10.1007/s11367-016-1137-2 is OK
- 10.1016/j.resconrec.2024.107801 is OK
- 10.1016/j.resconrec.2020.105108 is OK
- 10.1007/s11367-020-01737-5 is OK

🟡 SKIP DOIs

- No DOI given, and none found for title: The Herfindahl-Hirschman index
- No DOI given, and none found for title: BACI: International Trade Database at the Product-...
- No DOI given, and none found for title: Federal ministry republic of Austria
- No DOI given, and none found for title: Worldwide Governance Indicators
- No DOI given, and none found for title: Critical evaluation of material criticality and pr...

❌ MISSING DOIs

- None

❌ INVALID DOIs

- None

[editorialbot]

Paper file info:

📄 Wordcount for paper.md is 1728

✅ The paper includes a Statement of need section

[editorialbot]

License info:

🟡 License found: GNU General Public License v3.0 (Check here for OSI approval)

[editorialbot]

:point_right::page_facing_up: Download article proof :page_facing_up: View article proof on GitHub :page_facing_up: :point_left:

[editorialbot]

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[arfon]

@akoyamp – thanks for your submission to JOSS. Unfortunately this submission is not eligible to be published in JOSS in its current form. As per our submission requirements:

In addition, JOSS requires that software should be feature-complete (i.e., no half-baked solutions), packaged appropriately according to common community standards for the programming language being used (e.g., Python, R).

This Python code should be packaged according to common Python community conventions. Additionally, there do not seem to be any testing procedures for this code which also means it would fail a JOSS review.

Finally, I note that the scholarly contribution of this submission looks to be this file https://github.com/akoyamp/geopolrisk-py/blob/main/geopolrisk/assessment/utils.py which is well below the level of scholarly effort required to publish here.

Should you decide to resubmit to JOSS, please ensure you substantially improve your codebase beforehand.

[arfon]

@editorialbot reject

[editorialbot]

Paper rejected.