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Bibliographic databases should support innovation and experimentation. Here, we offer four criteria for innovation-friendly bibliographic databases. We urge the global research community to use databases that support and do not hinder innovation in scholarly communication and research assessment.
ASAPbio, in partnership with DORA, HHMI, and the Chan Zuckerberg Initiative, hosted #FeedbackASAP on July 21, 2021 to discuss how to create a culture of constructive public review and feedback on preprints.
These data and chart present an approximate calculation of the proportion of preprints in biology when compared to publications in PubMed, based on monthly figures and incorporating monthly preprint submissions (or counts) across a selection of servers relevant to biology. Version 1.0 of these data represents data from January 2007 until May 31, 2019 for preprint servers: arXiv q-bio, Nature Precedings, F1000Research*, PeerJ Preprints*, bioRxiv**, Winnower*, preprints.org, Wellcome Open Research*. [* Counts may not be specific to biology preprints only; ** Counts may include all versions posted that month, so may be an overestimate for version 1 submissions.]