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Editorial: Open science to support replicability in neuroergonomic research
Editorial   Open access

Editorial: Open science to support replicability in neuroergonomic research

Klaus Gramann, Fabien Lotte, Frederic Dehais, Hasan Ayaz, Mathias Vukelić, Waldemar Karwowski, Stephen Fairclough, Anne-Marie Brouwer and Raphaëlle N. Roy
Frontiers in neuroergonomics, v 5
30 Jul 2024
url
https://doi.org/10.3389/fnrgo.2024.1459204View
Published, Version of Record (VoR) Open CC BY V4.0

Abstract

open data open analysis replicability EEG neuroergonomics Open Access
Editorial on the Research Topic Open science to support replicability in neuroergonomic research Open access to data, code, and protocols in research is vital for accelerating scientific progress, ensuring transparency and reproducibility, and maximizing resource utilization. By making datasets and code freely available, researchers can collaborate across disciplines, verify, replicate, extend findings, and innovate more efficiently. Additionally, open data and collective use such as in open competitions (Roy et al., 2022) support education, promote equity in research opportunities, and enhance public trust and engagement. These benefits collectively advance the application of scientific principles, fostering a more inclusive and robust scientific community. However, within the neuroergonomics and neurotechnology community, this process has been remarkably slow for several reasons, resulting in a minimal number of freely available data sets with often reduced data information (Hinss et al., 2021). [1st paragraph]

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Collaboration types
Domestic collaboration
International collaboration
Web of Science research areas
Ergonomics
Neurosciences
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