Another thought on publishing reviews: a resource for data mining

Following my previous post about the relevance of publishing reviews and reviewer names as discussed at PLOS One, here is another contribution of mine to the discussion:

If all reviews were made publicly available, that would allow for some interesting data mining which might uncover trends about the reviewing process, which could in turn help us improve the process. How often are reviewers completely inconsistent? (see Are reviewers more stringeant or less detailed for authors from specific backgrounds (gender, country, etc.)? What is the overall balance in reviews between correcting style and correcting substance? Which proportion of reviewer recommendations are accompagnied by a specific reference? Etc.

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