Peer Community In

“Peer Community in” (PCI) is a non-profit scientific organization that aims to create specific communities of researchers reviewing and recommending, for free, unpublished preprints in their field.

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The network image was drawn by Martin Grandjean: A force-based network visualization - http://www.martingrandjean.ch/wp-content/uploads/2013/10/Graphe3.png. CC BY-SA.

PCI promotes scientific reproducibility

PCI wants to promote scientific reproducibility to improve the overall robustness and integrity of our scientific conclusions. To this aim, PCI has set up 3 mandatory rules and made 2 suggestions to authors:

Mandatory rules:

Preprints recommended by PCI must provide the readers:

Raw data by making them available either in the text or through an open data repository such as Zenodo, Dryad or some other institutional repositories (see Directory of Open Access Repositories). Data must be reusable, thus metadata and accompanying text must carefully describe the data.

Details on the quantitative analyses (e.g., data treatment and statistical scripts in R, bioinformatic pipeline scripts, etc.) and details concerning simulations (scripts, codes) in the text, as appendices, or through an open data repository, such as Zenodo, Dryad or some other institutional repositories (see Directory of Open Access Repositories). The scripts or codes must be carefully described such that another researcher can run them.

Details on experimental procedures. These details must be givenin the text or as appendices at the end of the article.

Suggestions to authors:

-PCI encourages authors to use preregistrations: Authors may post their research questions and analysis plan to an independent registry before observing the research outcomes, and thus before writing and submitting their article. This provides a way for them to clarify their hypotheses, avoid confusing “postdictions” and predictions, and carefully plan appropriate statistical treatment of the data (eg see 10.1073/pnas.1708274114).

-PCI also welcomes submissions of preregistrations. Authors can submit their preregistrations to a PCI before beginning their study, and thus before acquiring the data. Preregistrations are then evaluated by recommenders based on independent reviews, in exactly the same way as preprint articles. Preregistrations can thus be rejected or undergo revisions, improving the quality and robustness of the experimental design. When a preregistration is accepted, the subsequent article submitted to the corresponding PCI would be recommended provided the study has been conducted as described in the preregistration (or with any modifications clearly justified). In this way, an article cannot be rejected due to the outcome of the study only. Details on preregistration submissions can be found for example here.