Preclinical Reproducibility and Robustness

Preclinical Reproducibility and Robustness

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About this Gateway

The Preclinical Reproducibility and Robustness gateway is a platform for open and transparent publication of confirmatory and non-confirmatory studies in biomedical research. The gateway is open to all scientists from both academia and industry and provides a centralized space for researchers to start an open dialogue, thereby helping to improve the reproducibility of studies

How does the gateway work?

The gateway is open for submission to all research scientists (academia and industry) who want to publish a confirming or non-confirming replication study on condition that they provide the full methodology and data to support their claims.

Each publication will undergo a fully transparent post-publication peer review following the F1000Research publication model. Referee reports from invited named experts will be posted alongside the article, allowing readers to get a full picture of the soundness of the replication experiments.

F1000Research recommends that authors raise any concerns about previous studies directly with the original authors before publishing their replication attempts. The authors whose studies have been confirmed or not confirmed can provide signed comments on the article, or publish their own full Correspondence article (which would also be openly peer-reviewed) in the gateway if they have further (published or new) evidence that adds to the discussion (see our Correspondence article guidelines here).

The overall goal of the gateway is to enable meaningful scientific discourse that is open and publicly available and aids the rapid progression of science.
 

 

Gateway Advisors
  • Bruce Alberts
    University of California, San Francisco, USA

  • Alexander Kamb
    Amgen Inc., USA

Advisory Board
  • C. Glenn Begley
    TetraLogic, USA

  • Deborah Berry
    Georgetown University, USA

  • Dorothy Bishop
    University of Oxford, UK

  • David Glass
    Novartis Institutes for Biomedical Research, USA

  • John Ioannidis
    Stanford Medicine, USA

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