Editorial: Open science to support replicability in neuroergonomic research
article
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).
TNO Identifier
1000086
Source
Frontiers in Neuroergonomics, 5