[PRE REVIEW]: LightLogR: Reproducible analysis of personal light exposure data

[editorialbot]

Submitting author: !--author-handle-->@JZauner<!--end-author-handle-- (Johannes Zauner) Repository: https://github.com/tscnlab/LightLogR Branch with paper.md (empty if default branch): paper Version: v0.4.1 Editor: !--editor-->@rwegener2<!--end-editor-- Reviewers: Pending Managing EiC: Kevin M. Moerman

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Software report:

github.com/AlDanial/cloc v 1.90  T=0.07 s (1569.0 files/s, 370264.4 lines/s)
-------------------------------------------------------------------------------
Language                     files          blank        comment           code
-------------------------------------------------------------------------------
CSV                              2              0              0          11432
R                               81            773           3410           5171
Markdown                        10            348              0           1107
Rmd                              5            472            619            579
YAML                             4             22              9            184
TeX                              1             17              0            163
-------------------------------------------------------------------------------
SUM:                           103           1632           4038          18636
-------------------------------------------------------------------------------

Commit count by author:

   119  Johannes Zauner
    71  Jzauner
    22  Manuel Spitschan
    22  steffenhartmeyer
     3  Steffen Hartmeyer

[editorialbot]

Paper file info:

📄 Wordcount for paper.md is 1502

✅ The paper includes a Statement of need section

[editorialbot]

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

✅ OK DOIs

- 10.1111/jsr.14225 is OK
- 10.1177/14771535241248540 is OK
- 10.1101/2024.02.11.24302663 is OK
- 10.1177/14771535221103258 is OK
- 10.1101/2024.10.02.616112 is OK
- 10.1123/jmpb.2018-0063 is OK
- 10.12688/wellcomeopenres.20557.1 is OK
- 10.1177/20552076221144858 is OK
- 10.20944/preprints202409.1285.v1 is OK
- 10.1016/j.measurement.2024.114909 is OK
- 10.1038/sdata.2016.18 is OK
- 10.21203/rs.3.rs-3771881/v1 is OK
- 10.5281/zenodo.13839724 is OK

🟡 SKIP DOIs

- No DOI given, and none found for title: LightLogR: Process Data from Wearable Light Logger...
- No DOI given, and none found for title: LightLogR: Process Data from Wearable Light Logger...
- No DOI given, and none found for title: LightLogR: Process Data from Wearable Light Logger...
- No DOI given, and none found for title: LightLogR: Tutorial: The whole game
- No DOI given, and none found for title: ggplot2: Elegant Graphics for Data Analysis

❌ MISSING DOIs

- None

❌ INVALID DOIs

- None

[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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⚠️ Note to editors: If these papers look like they might be a good match, click through to the review issue for that paper and invite one or more of the authors before considering asking the reviewers of these papers to review again for JOSS.

[Kevin-Mattheus-Moerman]

@editorialbot invite @rwegener2 as editor

[editorialbot]

Invitation to edit this submission sent!

[rwegener2]

@editorialbot add me as editor

[editorialbot]

Assigned! @rwegener2 is now the editor

[editorialbot]

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

[editorialbot]

Five most similar historical JOSS papers:

lightr: import spectral data and metadata in R Submitting author: @bisaloo Handling editor: @danielskatz (Active) Reviewers: @danielskatz Similarity score: 0.6764

mhealthtools: A Modular R Package for Extracting Features from Mobile and Wearable Sensor Data Submitting author: @philerooski Handling editor: @trallard (Retired) Reviewers: @Ebedthan, @AKuederle Similarity score: 0.6728

SleepPy: A python package for sleep analysis from accelerometer data Submitting author: @elyiorgos Handling editor: @lheagy (Retired) Reviewers: @eskofier, @ikarosilva, @nhejazi Similarity score: 0.6693

PupillometryR: An R package for preparing and analysing pupillometry data Submitting author: @samhforbes Handling editor: @oliviaguest (Active) Reviewers: @paulinepalma, @Athanasiamo Similarity score: 0.6642

Devicely: A Python package for reading, timeshifting and writing sensor data Submitting author: @arianesasso Handling editor: @prashjha (Active) Reviewers: @luciorq, @djmitche Similarity score: 0.6606

⚠️ Note to editors: If these papers look like they might be a good match, click through to the review issue for that paper and invite one or more of the authors before considering asking the reviewers of these papers to review again for JOSS.

[JZauner]

Dear JOSS Team,

Here are suggestions for reviewers based on the provided database:

jamesmbaazam petermacp Tgerke hantswilliams epiben

Thanks and best regards

[rwegener2]

👋🏻 @petermacp and @Tgerke, would either of you be willing to review this submission for JOSS? We carry out our checklist-driven reviews here in GitHub issues and follow these guidelines: https://joss.readthedocs.io/en/latest/review_criteria.html

[JZauner]

Dear JOSS Team,

We internally discussed changing the license of LightLogR to a more permissive one, i.e. to MIT instead of GPL. As the licence is documented in the paper, it would be great if we can change this in the paper and the paper branch and merge it to the main branch, so that the license change does not happen after publication. Would that be acceptable to JOSS? If so, please give a short indication and I will update the branch's license and the relevant part in the manuscript. Best, Johannes

[rwegener2]

Hi @JZauner! Not a problem. Feel free to change the license, just merge into the branch.