EEGManyPipelines : A Large-scale, Grassroot Multi-analyst Study of EEG Analysis Practices in the Wild
Trübutschek, D., Yang, Y.-F., Gianelli, C., Cesnaite, E., Fischer, N. L., Vinding, M. C., Marshall, T. R., Algermissen, J., Pascarella, A., Puoliväli, T., Vitale, A., Busch, N. A., & Nilsonne, G. (2024). EEGManyPipelines : A Large-scale, Grassroot Multi-analyst Study of EEG Analysis Practices in the Wild. Journal of Cognitive Neuroscience, 36(2), 217-224. https://doi.org/10.1162/jocn_a_02087
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Journal of Cognitive NeuroscienceAuthors
Date
2024Copyright
© 2023 Massachusetts Institute of Technology.
The ongoing reproducibility crisis in psychology and cognitive neuroscience has sparked increasing calls to re-evaluate and reshape scientific culture and practices. Heeding those calls, we have recently launched the EEGManyPipelines project as a means to assess the robustness of EEG research in naturalistic conditions and experiment with an alternative model of conducting scientific research. One hundred sixty-eight analyst teams, encompassing 396 individual researchers from 37 countries, independently analyzed the same unpublished, representative EEG data set to test the same set of predefined hypotheses and then provided their analysis pipelines and reported outcomes. Here, we lay out how large-scale scientific projects can be set up in a grassroots, community-driven manner without a central organizing laboratory. We explain our recruitment strategy, our guidance for analysts, the eventual outputs of this project and how it might have a lasting impact on the field.
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MIT PressISSN Search the Publication Forum
0898-929XPublication in research information system
https://converis.jyu.fi/converis/portal/detail/Publication/194684255
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Darinka Trübutschek is supported by the European Union’s Horizon 2020 research and innovation program under the Marie Sklodowska-Curie, grant number: 101023805. Nastassja L. Fischer is supported by the Cambridge-NTU Centre for Lifelong Learning and Individualised Cognition, a project by the National Research Foundation, Prime Minister’s Office, Singapore, under its Campus for Research Excellence and Technological Enterprise Programme. Niko Busch is supported by the German Research Foundation (https://dx.doi.org/10.13039/501100001659), grant number: BU 2400/11–1, and by the German Research Foundation priority program “META-REP: A Meta-scientific Programme to Analyse and Optimise Replicability in the Behavioural, Social, and Cognitive Sciences.” Gustav Nilsonne and Mikkel C. Vinding are supported by Riksbankens Jubileumsfond, grant number: P21–0384. Mikkel C. Vinding is supported by a collaborative grant from the Lundbeck Foundation, grant number: R336–2020-1035. ...License
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