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Win–win data sharing in neuroscience

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Abstract

Most neuroscientists have yet to embrace a culture of data sharing. Using our decade-long experience at NeuroMorpho.Org as an example, we discuss how publicly available repositories may benefit data producers and end-users alike. We outline practical recipes for resource developers to maximize the research impact of data sharing platforms for both contributors and users.

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Figure 1: Worldwide downloads and uploads of digital tracings.

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Acknowledgements

We gratefully acknowledge grants R01NS039600 (NIH), R01NS086082 (NIH), and DBI-1546335 (NSF) to G.A.A.

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Authors and Affiliations

  1. Center for Neural Informatics, Structures, and Plasticity Krasnow Institute for Advanced Study, George Mason University, Fairfax, Virginia, USA

    Giorgio A Ascoli, Patricia Maraver, Sumit Nanda, Sridevi Polavaram & Rubén Armañanzas

Authors
  1. Giorgio A Ascoli
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  2. Patricia Maraver
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  3. Sumit Nanda
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  4. Sridevi Polavaram
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  5. Rubén Armañanzas
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Corresponding authors

Correspondence to Giorgio A Ascoli or Rubén Armañanzas.

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The authors declare no competing financial interests.

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Ascoli, G., Maraver, P., Nanda, S. et al. Win–win data sharing in neuroscience. Nat Methods 14, 112–116 (2017). https://doi.org/10.1038/nmeth.4152

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