The action is structured into several working groups, each focusing on specific research and coordination activities. These working groups ensure comprehensive coverage of our research objectives and facilitate effective collaboration. Each working group has a leader, a vice leader, and can consist of multiple task forces.
WG1: Quality Assessment and Quality Control
This Working Group focuses on improving the reliability and usability of neuroimaging data by developing shared standards and guidelines for quality assessment (QA) and quality control (QC) across different imaging modalities, including MRI, MEG, EEG, and fNIRS. By bringing together experts and existing initiatives, WG1 aims to establish clear, transparent, and interoperable QA/QC practices that make it easier for researchers to evaluate data quality before use. These efforts will reduce duplication of work, enhance reproducibility, and support the use of neuroimaging data in advanced applications such as AI.
Leader:Dr. Robert Oostenveld
robert.oostenveld@donders.ru.nl Donders Institute, Radboud University Nijmegen, The Netherlands |
Vice-leader:to be announced
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WG2: Metadata
WG2 is dedicated to improving the way neuroimaging data and experimental information are described and annotated. Metadata plays a crucial role in making data findable, interoperable, and reusable, but current practices are often inconsistent or incomplete. This Working Group will extend and refine existing standards, such as BIDS, and foster collaboration between metadata developers, software tool creators, and researchers. By improving metadata practices, WG2 will make it easier to discover, understand, and reuse neuroimaging datasets across research groups and disciplines.
Leader:Dr. Lyuba Zehl
BRAINS AISBL, Brussels, Belgium |
Vice-leader:to be announced
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WG3: Automated Preprocessing Pipelines
Preprocessing is a critical step in preparing neuroimaging data for analysis, but current practices are often ad hoc and poorly documented. WG3 aims to standardize and rationalize preprocessing procedures to enhance transparency, reproducibility, and interoperability. Focusing initially on EEG and MEG, this Working Group will define best practices and documentation standards for preprocessing pipelines, drawing on successful examples from MRI. The outcome will be clearer, more reusable pipelines that support consistent and trustworthy analyses across research sites.
Leader:Dr. Oscar Esteban (proposed, TODO)
HES-SO Valais-Wallis, Switzerland |
Vice-leader:to be announced
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WG4: Ethics, Practices, and Regulations
Sharing human neuroimaging data raises important ethical and legal questions, particularly regarding privacy and compliance with regulations such as the GDPR. WG4 will clarify and address these challenges by developing guidelines, tools, and training that help researchers navigate legal frameworks while maximizing the scientific and societal benefits of data sharing. It will also foster ethical discussions within the community, balancing openness and transparency with respect for participants’ rights and researchers’ concerns, ultimately supporting responsible and sustainable data sharing practices.
Leader:Dr. Camille Maumet
Inria, Université Rennes, CNRS, Inserm, France |
Vice-leader:to be announced
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WG5: Dissemination and Communication
WG5 ensures that the outcomes of the Action are visible, accessible, and impactful. This Working Group coordinates the communication and dissemination of guidelines, tools, training materials, and scientific results to the research community, stakeholders, and the public. By maintaining a strong online presence, engaging with key conferences and platforms, and supporting open access publication, WG5 plays a central role in building a vibrant network and encouraging the widespread adoption of the Action’s outputs across Europe and beyond.
Leader:to be announced
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Vice-leader:to be announced
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Get Involved
If you are interested in contributing to any of these Working Groups, please see the contact page or feel free to contact the Working Group leader.