ScholarOne Manuscripts Ideas is a community forum for clients to engage with each other and with the ScholarOne Product team around ways to improve the platform experience. Ideas submitted in this forum are useful in surfacing themes and items of critical importance to our users, prioritizing roadmap initiatives, and fine-tuning feature development.
There is a lot of concern in the scientific literature about structural biases in reviews, e.g., due to gender bias or racism. As editor, I want the ability to extract all the written reviews submitted over a period of time (e.g., x years) and use computational text analysis to look for patterns in reviews that might indicate bias (e.g., differences in the quality of writing and/or in the constructive vs. destructive tone of the review). However, the reporting functionality in Cognos provides no way to extract all of these reviews.
Clarivate confirmed with me that they have no way to extract all reviews in bulk format. They should provide that functionality. Alternatively, if they cannot provide that functionality for editors, an alternative would be for Clarivate to extract them in their backend systems and to run computational text analysis tools of their own. I imagine that other publishing houses (e.g., Elsevier, Wiley, Sage, etc.) may offer such tools over time given that the potential for structural biases in science is now well-known.
You can set-up a report that exports all reviewer comments in an excel file as an editor. Just set-up a new peer review report and include reviewer comments to the author (or editor) to the report. It will then show you all reviewer comments for the selected time frame or decision status
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