#OpenScience I am routinely encouraging authors of papers I am reviewing to share their data and materials. I have finally wrote a generic comment to be added to a review. Putting it here in case anyone wishes to use it in some form [feedback welcome](1/5):
General comment: To increase transparency of science and visibility of your work, I encourage you to consider sharing your materials, data, and analysis code with the community (e.g., on Open Science Framework). See http://doi.org/10.1525/collabra.158 for thorough guidelines (2/5)
Collabra: Psychology

Article: A Practical Guide for Transparency in Psychological Science

http://doi.org/10.1525/collabra.158
Note that papers, in case of which data was shared, seem to have some citation advantage https://doi.org/10.1371/journal.pone.0230416. (3/5)
The citation advantage of linking publications to research data

Efforts to make research results open and reproducible are increasingly reflected by journal policies encouraging or mandating authors to provide data availability statements. As a consequence of...

https://doi.org/10.1371/journal.pone.0230416
If you cannot share the data due to confidentially issues, you might also wish to consider sharing a synthetic dataset https://elifesciences.org/articles/53275 . Furthermore, you still can share your materials and code. (4/5)
A synthetic dataset primer for the biobehavioural sciences to promote reproducibility and hypothe...

Sharing synthetic datasets that mimic original datasets that could not otherwise be made publicly available can help ensure reproducibility and facilitate data exploration while maintaining partici...

https://elifesciences.org/articles/53275
Please note that this is just a suggestion, and I do not condition my recommendation on whether you do it. For your obligations in that context please consult journal's editorial policy. (5/5)
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