• May 2026 The main manuscript is now available as a preprint at OSF Good job everybody!
• Jan 2026 The data descriptor manuscript is available as a preprint at OSF
• Sep 2025 We are at the final stages of this project, working on the final paper as well as a data descriptor paper. If you are an analyst, but have not been contacted by us in the last months, please contact us via email eegmanypipelines@gmail.com
• Jan 2024 We have published a position paper on this global endeavour with 168 teams working to assess the robustness of EEG analytic pipelines in the wild. Check it out!
• Jun 2022 The data submission phase is now finished. We thank all participants for their great efforts! More information will follow in the upcoming newsletters.
• May 2022 We have published a pre-registration report on OSF, which outlines the conceptual aims of our upcoming analysis!
• May 2022 The frequently asked questions page has been updated.
• Apr 2022 The data submission portal will open on May 2nd! Please contact us if you have not received an individual URL to the system by May 3rd.
• Nov 2021 We have now completed screening the registrations. We are excited to announce that more than 300 teams consisting of more than 600 researchers decided to participate to this project! During the next 1–2 days, you will receive from us either the instructions for downloading and analyzing the data, or a request to provide more information that allows us to confirm your eligibility for participating to this project.

We are delighted to announce the official launch of the EEGManyPipelines project! This project is inspired by other recent projects involving many independent analysis teams to investigate how different analysts approach a given data set and how analysis approaches affect the obtained results (e.g., Silberzahn et al., 2015; Botvinik-Nezer et al., 2020). The aim of this project is to extend this novel initiative to EEG research. We believe this to be particularly important in the case of EEG data, as compared to other neuroimaging research, analysis pipelines are less standardized (e.g. see Cohen, 2017) and have more degrees of freedom. EEG is the most widespread tool in human neuroscience research with significant impact on research in all fields of psychology and cognitive neuroscience, which, we believe, makes the EEGManyPipelines project a timely and crucial endeavor that we hope will benefit a large part of the cognitive neuroscience community.

Participants in this project will get access to an EEG dataset and are invited to analyze the data with an analysis pipeline they deem sensible and representative of their own research. Participants will then report their results and a detailed description of the analysis pipeline back to us. We will use these reports to map the diversity of analysis pipelines and the effect of pipeline parameters on obtained results.

See all details on the people involved in the project: People Involved in EEGManyPipelines

See the full list of publications on the Publications page.

For questions or comments, please write email to eegmanypipelines@gmail.com.