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Data sharing in neuroimaging: experiences from the BIDS project

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Data sharing is an essential component of open science practice. The Brain Imaging Data Structure project has pioneered a way to organize neuroimaging and behavioural data that enables easy sharing and reuse. We present experiences from the BIDS project and highlight how standards can promote open science.

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References

  1. White, T., Blok, E. & Calhoun, V. D. Data sharing and privacy issues in neuroimaging research: opportunities, obstacles, challenges, and monsters under the bed. Hum. Brain Mapp. 43, 278–291 (2022).

    Article  PubMed  Google Scholar 

  2. Jwa, A. S. & Poldrack, R. A. The spectrum of data sharing policies in neuroimaging data repositories. Hum. Brain Mapp. 43, 2707–2721 (2022).

    Article  PubMed  PubMed Central  Google Scholar 

  3. European Commission Directorate-General for Research & Innovation. Guidelines on FAIR Data Management in Horizon 2020 https://ec.europa.eu/research/participants/data/ref/h2020/grants_manual/hi/oa_pilot/h2020-hi-oa-data-mgt_en.pdf (2016).

  4. Wilkinson, M. D. et al. The FAIR guiding principles for scientific data management and stewardship. Sci. Data 3, 160018 (2016).

    Article  PubMed  PubMed Central  Google Scholar 

  5. Gorgolewski, K. J. et al. The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments. Sci. Data 3, 160044 (2016).

    Article  PubMed  PubMed Central  Google Scholar 

  6. Poldrack, R. A. et al. The past, present, and future of the brain imaging data structure (BIDS). Preprint at http://arxiv.org/abs/2309.05768 (2023).

  7. Gorgolewski, K. J. et al. BIDS apps: improving ease of use, accessibility, and reproducibility of neuroimaging data analysis methods. PLOS Comput. Biol. 13, e1005209 (2017).

    Article  PubMed  PubMed Central  Google Scholar 

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Authors and Affiliations

  1. Department of Computer Science, University of Copenhagen, Copenhagen, Denmark

    Melanie Ganz

  2. Neurobiology Research Unit, Copenhagen University Hospital, Copenhagen, Denmark

    Melanie Ganz

  3. Department of Psychology, Stanford University, Stanford, CA, USA

    Russell A. Poldrack

Authors
  1. Melanie Ganz
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  2. Russell A. Poldrack
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Corresponding author

Correspondence to Melanie Ganz.

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The authors declare no competing financial interests.

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Ganz, M., Poldrack, R.A. Data sharing in neuroimaging: experiences from the BIDS project. Nat. Rev. Neurosci. 24, 729–730 (2023). https://doi.org/10.1038/s41583-023-00762-1

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  • DOI: https://doi.org/10.1038/s41583-023-00762-1

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