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  1. Point of View: Four erroneous beliefs thwarting more trustworthy research

    Mark Yarborough et al.
    Strategies to improve public trust in biomedical research are being hindered by a scientific mindset that stifles interest in reform.
  2. Point of view: Motivating participation in open science by examining researcher incentives

    Sarah E Ali-Khan et al.
    A survey of researchers at the Montreal Neurological Institute and Hospital provides insights into the challenges and opportunities involved in adopting an open science policy across an entire patient-oriented academic institution.
    1. Computational and Systems Biology

    Point of View: Data science for the scientific life cycle

    Daphne Ezer, Kirstie Whitaker
    Each stage of the scientific life cycle stands to benefit from the introduction of data science techniques.
    1. Computational and Systems Biology

    Meta-Research: Centralized scientific communities are less likely to generate replicable results

    Valentin Danchev et al.
    Analysis of data on drug-gene interactions suggests that decentralized collaboration will increase the robustness of scientific findings in biomedical research.
  3. Philosophy of Biology: Philosophical bias is the one bias that science cannot avoid

    Fredrik Andersen et al.
    Scientists should be aware of the non-empirical assumptions that influence all kinds of research.
  4. Scientific Publishing: Transparent reporting of research results in eLife

    M Dawn Teare
    Manuscripts should include all the experimental and statistical details that are needed to replicate the experiments and analyses reported in them.
    Editorial
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  5. Point of View: Overflow in science and its implications for trust

    Sabina Siebert et al.
    Interviews with senior biomedical researchers reveal a perceived decline in trust in the scientific enterprise, in large part because the quantity of new data exceeds the field's ability to process it appropriately.
  6. Meta-Research: Large-scale language analysis of peer review reports

    Ivan Buljan et al.
    The linguistic characteristics of peer review reports are not influenced by research area, type of review or reviewer gender, which is evidence for the robustness of peer review.
    1. Biochemistry and Chemical Biology
    2. Neuroscience

    Science Forum: Addressing selective reporting of experiments through predefined exclusion criteria

    Kleber Neves, Olavo B Amaral
    Researchers should define in advance the criteria for excluding the results of experiments that 'did not work' from articles.
  7. Research Culture: Setting the right tone

    Tanita Casci, Elizabeth Adams
    Improving the research culture of an institution may lead to a fairer, more rewarding and successful environment, but how do you start making changes?