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  1. Toward standard practices for sharing computer code and programs in neuroscience

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    Computational techniques are central in many areas of neuroscience and are relatively easy to share. This paper describes why computer programs underlying scientific publications should be shared and lists simple steps for sharing. Together with ongoing efforts in data sharing, this should aid reproducibility of research.
  2. Extending transparency to code

    Reproducibility initiatives seek to promote greater transparency and sharing of scientific reagents, procedures and data. Less recognized is the need to share data analysis routines. Nature Neuroscience is launching a pilot project to evaluate the efficacy of sharing code.
  3. Best practices in data analysis and sharing in neuroimaging using MRI

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    Responding to widespread concerns about reproducibility, the Organization for Human Brain Mapping created a working group to identify best practices in data analysis, results reporting and data sharing to promote open and reproducible research in neuroimaging. We describe the challenges of open research and the barriers the field faces.

  4. Fostering reproducible fMRI research

    The validity of conclusions drawn from functional MRI research has been questioned for some time now. Nature Neuroscience and Nature Communications are committed to working with neuroimaging researchers to improve the robustness and reproducibility of their work.
  5. Focus on human brain mapping

    We present a special issue highlighting considerations and recent developments in noninvasive techniques that improve our understanding of neural measurements in humans, bridging the gap between human and animal research in neuroscience.