TY - JOUR
T1 - Good scientific practice in EEG and MEG research Progress and perspectives
AU - Niso, Guiomar
AU - Krol, Laurens
AU - Combrisson, Etienne
AU - Dubarry, Anne-Sophie
AU - Elliott, Madison
AU - François, Clément
AU - Héjja-Brichard, Yseult
AU - Herbst, Sophie
AU - Jerbi, Karim
AU - Kovic, Vanja
AU - Lehongre, Katia
AU - Luck, Steven
AU - Mercier, Manuel
AU - Mosher, John C.
AU - Pavlov, Yuri
AU - Puce, Aina
AU - Schettino, Antonio
AU - Schön, Daniele
AU - Sinnott-Armstrong, Walter
AU - Somon, Bertille
AU - Šoškić, Anđela
AU - Styles, Suzy
AU - Tibon, Roni
AU - Vilas, Martina
AU - van Vliet, Marijn
AU - Chaumon, Maximilien
PY - 2022/8/15
Y1 - 2022/8/15
N2 - Good scientific practice (GSP) refers to both explicit and implicit rules, recommendations, and guidelines that help scientists to produce work that is of the highest quality at any given time, and to efficiently share that work with the community for further scrutiny or utilization. For experimental research using magneto- and electroencephalography (MEEG), GSP includes specific standards and guidelines for technical competence, which are periodically updated and adapted to new findings. However, GSP also needs to be regularly revisited in a broader light. At the LiveMEEG 2020 conference, a reflection on GSP was fostered that included explicitly documented guidelines and technical advances, but also emphasized intangible GSP: a general awareness of personal, organizational, and societal realities and how they can influence MEEG research. This article provides an extensive report on most of the LiveMEEG contributions and new literature, with the additional aim to synthesize ongoing cultural changes in GSP. It first covers GSP with respect to cognitive biases and logical fallacies, pre-registration as a tool to avoid those and other early pitfalls, and a number of resources to enable collaborative and reproducible research as a general approach to minimize misconceptions. Second, it covers GSP with respect to data acquisition, analysis, reporting, and sharing, including new tools and frameworks to support collaborative work. Finally, GSP is considered in light of ethical implications of MEEG research and the resulting responsibility that scientists have to engage with societal challenges. Considering among other things the benefits of peer review and open access at all stages, the need to coordinate larger international projects, the complexity of MEEG subject matter, and today's prioritization of fairness, privacy, and the environment, we find that current GSP tends to favor collective and cooperative work, for both scientific and for societal reasons.
AB - Good scientific practice (GSP) refers to both explicit and implicit rules, recommendations, and guidelines that help scientists to produce work that is of the highest quality at any given time, and to efficiently share that work with the community for further scrutiny or utilization. For experimental research using magneto- and electroencephalography (MEEG), GSP includes specific standards and guidelines for technical competence, which are periodically updated and adapted to new findings. However, GSP also needs to be regularly revisited in a broader light. At the LiveMEEG 2020 conference, a reflection on GSP was fostered that included explicitly documented guidelines and technical advances, but also emphasized intangible GSP: a general awareness of personal, organizational, and societal realities and how they can influence MEEG research. This article provides an extensive report on most of the LiveMEEG contributions and new literature, with the additional aim to synthesize ongoing cultural changes in GSP. It first covers GSP with respect to cognitive biases and logical fallacies, pre-registration as a tool to avoid those and other early pitfalls, and a number of resources to enable collaborative and reproducible research as a general approach to minimize misconceptions. Second, it covers GSP with respect to data acquisition, analysis, reporting, and sharing, including new tools and frameworks to support collaborative work. Finally, GSP is considered in light of ethical implications of MEEG research and the resulting responsibility that scientists have to engage with societal challenges. Considering among other things the benefits of peer review and open access at all stages, the need to coordinate larger international projects, the complexity of MEEG subject matter, and today's prioritization of fairness, privacy, and the environment, we find that current GSP tends to favor collective and cooperative work, for both scientific and for societal reasons.
KW - EEG
KW - MEG
KW - Open Science
KW - Good practise
UR - http://www.scopus.com/inward/record.url?scp=85131458696&partnerID=8YFLogxK
U2 - 10.1016/j.neuroimage.2022.119056
DO - 10.1016/j.neuroimage.2022.119056
M3 - Article
SN - 1053-8119
VL - 257
JO - NeuroImage
JF - NeuroImage
M1 - 119056
ER -