INDoS
INDoS TrainTracks: from raw data to reproducible quality evidence
The INDoS contribution is a coherent raw-data-to-quality-evidence chain. The Friday afternoon
training takes raw multimodal data into BIDS-compliant datasets with BIDS Manager. The Saturday
morning training turns those datasets into reproducible quality assessment and quality-control
outputs with MEEGqc.
Friday, June 12 . 13:30 - 15:30 . Room 2
INDoS TrainTrack
Beginner-friendly . 90 min
Making raw-to-BIDS less painful: multimodal conversion and curation with BIDS Manager
Tutors: Dr. Karel López Vilaret and Dr. Jorge F. Bosch-Bayard . ANCP Lab, University of Oldenburg
A practical bridge between BIDS concepts and real-world data conversion. Many researchers
understand the value of BIDS, but the step from chaotic raw data to a clean BIDS dataset can
still be difficult, fragmented, and highly manual.
BIDS Manager is a specialised GUI-driven software for interactive raw-to-BIDS conversion and
curation across MRI, MEG, and EEG datasets. It scans raw acquisitions into an inventory, detects
metadata and organisation issues, supports suffix mapping, handles repeated runs, previews the
future BIDS structure, and connects conversion decisions with validation.
What this training provides
- A short introduction to BIDS: why consistent naming, metadata, folder structure, and validation matter for downstream analysis, sharing, and reproducibility.
- A practical introduction to BIDS Manager: scan raw acquisitions, detect metadata and organisation issues, apply suffix mapping, handle repeated runs, preview the future BIDS structure, connect conversion decisions with validation.
- A hands-on multimodal raw-to-BIDS workflow on example MRI, MEG, and EEG datasets: inspect raw inputs, make curation decisions, run conversion, check the generated BIDS structure, review the output.
Target audience: Beginner-friendly. Researchers who want a software-supported
route from raw multimodal data to a reusable BIDS dataset.
Tags: BIDS . raw-to-BIDS . data curation . metadata . MRI . MEG . EEG . reproducibility . neuroimaging . GUI . validation
Saturday, June 13 . 09:00 - 10:30 . Room 2
INDoS TrainTrack
Intermediate . 90 min
MEEGqc: a standardised framework for MEG and EEG quality assessment and control
Tutors: Dr. Karel López Vilaret and Dr. Jorge F. Bosch-Bayard . ANCP Lab, University of Oldenburg
A BIDS-aligned Python toolbox for standardised quality assessment (QA) and explicit quality
control (QC) of MEG and EEG data. Beginners learn the basic logic of reproducible MEG/EEG QA/QC;
more advanced users see how MEEGqc structures quality metrics, interactive HTML reports, and
machine-readable derivatives across subject-level and dataset-level outputs.
What this training provides
- A conceptual introduction to MEG/EEG data quality, focused on why physiological, environmental, hardware, and motion-related noise make standardised and transparent QA/QC workflows necessary.
- A practical introduction to MEEGqc: how to run the toolbox through the graphical user interface (GUI), the command-line interface (CLI), and the Python interface, and how to inspect its generated quality metrics and interactive HTML reports.
- A reproducible MEG/EEG quality workflow: subject-level reports, dataset-level summaries, and machine-readable derivatives that can help reduce subjective and fragmented manual quality-control practices.
Target audience: Intermediate. Researchers interested in transparent, scalable,
and reproducible QA/QC workflows for EEG and MEG data.
Tags: MEEGqc . MEG . EEG . quality assessment . quality control . QA/QC . BIDS . Python . reproducibility . neuroimaging . data quality . open science
EEG101 . Working Group 1
ARTEM-IS: structured reporting for EEG methodology
ARTEM-IS (Agreed Reporting Template for EEG Methodology, International Standard) is an open,
interactive web application that guides researchers through structured reporting of their EEG
(currently ERP) methods, producing standardised, machine-readable outputs alongside human-readable
methodological summaries. Built by an international working group under the INCF and developed
further within EEG101 WG1, the current version (v2.1) covers the full ERP pipeline across nine
sections and roughly 460 items, of which a subset tailored to each study is presented to users.
Outputs can be attached to manuscripts, preregistrations, or shared datasets.
WG1 lead: Vanja Ković (University of Belgrade) . Co-leads: Anđela Šoškić and Dejan Pajić (University of Belgrade)
Friday, June 12 . 13:30 - 14:20 . Room 1
EEG101 . WG1 workshop
ARTEM-IS Demo
Leads: Anđela Šoškić, Vanja Ković, and Dejan Pajić (EEG101 WG1)
A hands-on workshop introducing ARTEM-IS, the ARTEM-IS for ERP standard contents, the web
application, the outputs it produces, and how it fits into existing reporting and data-sharing
workflows. ERP researchers leave with something they can apply to their next manuscript or
preregistration immediately. EEG researchers working outside the ERP tradition are equally welcome:
a core aim of the session is to open doors to extending ARTEM-IS to other EEG paradigms and methods.
The session closes with a workshop materials bundle (slides, worked examples of ARTEM-IS
documentation, supporting resources) so that participants who find the tool useful can run their
own ARTEM-IS workshop in their lab, plus information on how to join the EEG101 COST Action and its WG1.
Target audience: ERP and broader EEG researchers, authors, reviewers, and anyone interested in structured EEG reporting.
Tags: ARTEM-IS . EEG . ERP . reporting standards . open science . INCF
Friday, June 12 . 14:30 - 15:30 . Room 1
EEG101 . WG1 session
Implementation of new standards in journals
Speakers: Robert McIntosh (Editor-in-Chief, Cortex), Heinrich Liesefeld (Cortex Associate Editor for EEG papers), with members of EEG101 Working Groups
This session brings the editorial perspective into the conversation on EEG reporting standards.
Robert McIntosh gives a 20-minute talk on integrating ARTEM-IS into Cortex and on his
broader perspective on introducing new reporting practices into the journal. A discussion follows,
joined by Heinrich Liesefeld and members of EEG101 Working Groups, exploring what it takes for
journal-level adoption of structured reporting to work in practice. The floor will be open to
attendees; contributions from those with editorial experience at other journals are especially
welcome.
Target audience: Editors, reviewers, and researchers interested in journal-level adoption of reporting standards.
Tags: EEG . reporting standards . journals . editorial . ARTEM-IS . open science
Hacktrack . 3 days (June 11 to 13)
EEG101 . WG1
Hybrid: Bordeaux, Asia/Pacific, Europe/Middle East/Africa
ARTEM-IS Lexicon of EEG terminology
Project leads: Nastassja L. Fischer (online), Anđela Šoškić (onsite), Vanja Ković (onsite)
Work on the ARTEM-IS Lexicon: a curated, definition-backed glossary of EEG terms used in the
ARTEM-IS reporting template. The work focuses on extracting and consolidating the list of
EEG-specific terms currently used in the template, mapping them where possible to definitions in
existing neuroscientific lexicons and ontologies, and drafting community-sourced definitions for
the terms that fall outside the scope of existing resources.
The longer-term aim is a searchable and published EEG lexicon interoperable with the broader
landscape of neuroscientific terminology. The primary purpose is to give ARTEM-IS users in-place
definitions as they fill in their methods reports, turning ARTEM-IS into a training resource
rather than only a reporting standard.
Skills welcome: any combination of EEG methods expertise, terminology or
ontology experience, technical writing skills, or interest in research infrastructure. No prior
involvement with ARTEM-IS is required.
Introductory hybrid meeting: Thursday, June 11, 13:30 (CEST).
Tags: ARTEM-IS . EEG . terminology . ontology . lexicon . machine-readable . open science
Hacktrack . 3 days (June 11 to 13)
EEG101 . WG1
Stress-testing ARTEM-IS web application and standard
Coordinated with: the ARTEM-IS development team (EEG101 WG1)
ARTEM-IS has been used and refined by members of the development team, but it has not yet been
extensively evaluated by external ERP researchers who were not involved in its development. This
BrainHack track is a first step in that direction. ERP researchers willing to set aside time
during the BrainHack will register on the platform, explore its functionality, and complete one
full ARTEM-IS report from start to finish, either based on their own work or on a published study
of their choice.
Participants then provide feedback on both layers of the project: the usability of the web
application (navigation, interface, friction points, missing affordances) and the usability of
the standard itself (item wording, scope, granularity, gaps, terms or concepts that were unclear
or hard to map onto their study). The aim is to gather a concentrated batch of real-use feedback
to guide the next development cycle.
Target audience: ERP researchers at any career stage, including researchers new
to ERP who are still in training and willing to describe a published study of their choice. No
prior experience with ARTEM-IS is required.
Tags: ARTEM-IS . EEG . ERP . usability . standards . reporting
EEG101 . Working Group 2
Curating legacy resting-state EEG with RS-BIDSify
EEG101 Working Group 2 organises four specialised events at OHBM BrainHack 2026 around
RS-BIDSify, an alpha-stage tool developed as part of the #EEGManyLabs initiative
to automate the conversion of resting-state EEG recordings and metadata into BIDS-compliant
structures. Together they form a tutorial, a debate, an open-source clinic, and a collaboration
planning session.
WG2 lead: Mahnaz Arvaneh (University of Sheffield) . Co-leads: Xun He (Bournemouth University), Claudio Babiloni (Sapienza University of Rome)
Friday, June 12 . 17:00 - 18:30 . Room 2
EEG101 . WG2 workshop . mini-hackathon
Curating legacy resting-state EEG datasets using RS-BIDSify
Lead: Daniel Brady (University of Sheffield, RS-BIDSify maintainer, #EEGManyLabs initiative), with EEG101 WG2 (Mahnaz Arvaneh, Xun He, Claudio Babiloni)
Aligning EEG data formats across datasets and with those typically used by MRI and other
neuroimaging data is crucial for EEG and multimodal data curation. Standardising legacy EEG data
into BIDS format is often the biggest hurdle for large-scale meta-science. This workshop introduces
RS-BIDSify, designed to automate the conversion of resting-state EEG recordings and metadata into
BIDS-compliant structures.
After a short technical presentation on the pipeline's workflow, participants transition into a
practical trial session. They can bring their own datasets or work with provided examples, and
spend the session navigating the BIDSification process from start to finish. The team is looking
for "beta-testers" to help break the tool, find the common data quirks the pipeline
cannot handle yet, and identify where the documentation needs more clarity.
Target audience: researchers interested in EEG data curation workflows in
alignment with multimodal and large-scale neuroimaging data storage and sharing.
Tags: BIDS . data curation . EEG . reproducibility . neuroimaging . resting state
Saturday, June 13 . 10:30 - 12:00 . Room 2
EEG101 . WG2 discussion
Harmonisation and standardisation in EEG research: community debate and discussion
Facilitators: EEG101 WG2 (Mahnaz Arvaneh, Xun He, Claudio Babiloni)
An interactive session exploring the opportunities, challenges, and risks associated with EEG
dataset harmonisation and processing standardisation. The session includes a short framing talk,
a pre-session survey, a structured debate, and a focus-group discussion to identify key barriers,
priorities, and community-driven recommendations.
Tags: EEG . harmonisation . standardisation . community . debate
Scheduled with WG2 sessions
EEG101 . WG2 clinic
Open collaboration and pipeline development clinic
Facilitators: Daniel Brady (University of Sheffield, RS-BIDSify maintainer) with EEG101 WG2
A collaborative hands-on session focused on consolidating feedback on the RS-BIDSify pipeline,
addressing GitHub issues, discussing implementation challenges, and supporting community-driven
improvements to the workflow and documentation.
Tags: RS-BIDSify . open source . pipeline . clinic . community contributions
Scheduled with WG2 sessions
EEG101 . WG2 planning
Building shared outputs and future collaboration planning
Facilitators: EEG101 WG2 (Mahnaz Arvaneh, Xun He, Claudio Babiloni)
A session dedicated to developing shared outputs from the workshop activities: drafting a paper
skeleton or summary report, identifying contributors, coordinating next steps, and planning
future collaborative activities and dissemination efforts.
Tags: collaboration . outputs . planning . community
EEG101 . Working Group 3
EEG Community Framework: rigor, democratisation, sustainability
The EEG101 Community Framework (CF) features four specialised events at OHBM BrainHack 2026: an
introductory TrainTrack on Friday, an Ambassador TrainTrack on Saturday, a gamification
Hacktrack, and a stakeholder-mapping Hacktrack.
WG3 lead: Maximilien Chaumon (Paris Brain Institute) . Co-lead: Alexandra Corneyllie (Lyon Neuroscience Research Center)
Friday, June 12 . 17:00 - 18:30 . Room 1
EEG101 . WG3 TrainTrack
Community Framework introduction TrainTrack
Leads: Maximilien Chaumon and Alexandra Corneyllie (EEG101 WG3)
Discover and discuss the principles of the EEG Community Framework:
Scientific Rigor, Democratization, and Sustainability. Evaluate their current implementation
status in contemporary labs and identify where the framework can support better practice.
Tags: EEG . community framework . open science . rigor . sustainability
Saturday, June 13 . 10:30 - 12:00 . Room 1
EEG101 . WG3 TrainTrack
Ambassador TrainTrack
Leads: Maximilien Chaumon and Alexandra Corneyllie (EEG101 WG3)
Design strategic tools and tactics needed to advocate for the EEG Community Framework and drive
ethical, open science forward. The session focuses on the practical work of ambassadors who will
carry CF principles back to their labs, institutions, and networks.
Tags: EEG . community framework . advocacy . ambassadors . open science
Hacktrack . 3 days (June 11 to 13)
EEG101 . WG3
Hybrid: Bordeaux, Europe/Middle East/Africa
Community Framework: teaching and gamification brainstorm
Project leads: Maximilien Chaumon and Alexandra Corneyllie
Testing and improving good scientific practices in a virtual world. The game takes place in a
virtual world powered by the open-source WorkAdventure
platform. Participants are taken to a mansion and challenged to BIDSify their data, share it
openly with the scientific community, publish in the right assets, and more. Join the team
developing it, suggest ideas and scenarios, and have fun learning about brain imaging. This is the first
appearance of a new learning/teaching trend.
Skills welcome: experience of good scientific practice in neuroimaging, open
spirit, sense of observation, sense of humor.
Tags: EEG . community framework . gamification . teaching . serious games . WorkAdventure
Hacktrack . 3 days (June 11 to 13)
EEG101 . WG3
Bordeaux
Community Framework: stakeholder mapping
Project leads: Maximilien Chaumon and Alexandra Corneyllie
Together, let's chart the European EEG landscape by connecting researchers, industry, funders,
regulators, and publishers to advance more open, rigorous, and sustainable EEG science through
the EEG Community Framework.
Skills welcome: stakeholder mapping, networking, community building, systems
thinking, strategic outreach, and ethical science advocacy.
Tags: EEG . community framework . stakeholder mapping . advocacy . ecosystems
