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Abstract

The Microbiology Society will be launching an open research platform in October 2021. Developed using funding from the Wellcome Trust and the Howard Hughes Medical Institute (HHMI), the platform will combine our current sound-science journal, , with artificial intelligence (AI) review tools and many of the elements of a preprint server. In an effort to improve the rigour, reproducibility and transparency of the academic record, the platform will host both preprints of articles and their Version of Record (VOR) publications, as well as the reviewer reports, Editor's decision, authors' response to reviewers and the AI review reports. To ensure the platform meets the needs of our community, in February 2020 we conducted focus group meetings with various stakeholders. Using articles previously submitted to , we undertook testing of a range of potential AI review tools and investigated the technical feasibility and utility of including these tools as part of the platform. In keeping with the open and transparent ethos of the platform, we present here a summary of the focus group feedback and AI review tool testing.

Funding
This study was supported by the:
  • Wellcome Trust (Award 221451/Z/20/Z)
    • Principle Award Recipient: ApplicableNot
  • Howard Hughes Medical Institute (Award 221451/Z/20/Z)
    • Principle Award Recipient: ApplicableNot
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/content/journal/acmi/10.1099/acmi.0.000232
2021-04-19
2021-05-14
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References

  1. Menke J, Roelandse M, Ozyurt B, Martone M, Bandrowski A. The rigor and transparency index quality metric for assessing biological and medical science methods. iScience 2020; 23:101698 [CrossRef][PubMed]
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