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INCF Working Group on ARTEM-IS

Active, Soliciting members

Suzy Styles, Nanyang Technological University
Anđela Šoškić, University of Belgrade
Vanja Kovic, University of Belgrade
Han Ke, Nanyang Technological University


This Working Group aims to develop tools for the ARTEM-IS standard for electrophysiological methods reporting. ARTEM-IS stands for an Agreed Reporting Template for EEG Methodology - International Standard. Accurate reporting is critical for transparent, reproducible, replicable research in the scientific record, and allows advanced forms of meta-science to be conducted. Systematic reviews of EEG literature have highlighted specific and actionable weaknesses in the way that methods are typically reported - in particular, a lack of specificity about individual methodological decisions in the methods sections of journal articles. This challenge can be addressed by designing tools that facilitate detailed methodology documentation, where the structure of the tool helps to reduce errors, ambiguities and omissions in reporting. This outcome will be achieved more effectively through the collaborative action of EEG stakeholders, so that the tools are designed to maximise ease of use, clarity and specificity.

How we work

Monthly virtual meetings. Work coordination and work in subgroups will take place on an agreed online collaboration platform (e.g., Discord, Mattermost) and in a Neurostars group. The group also has a mailing list and will hold hackathons at relevant conferences.


Suzy Styles, Nanyang Technological University 
Anđela Šoškić, University of Belgrade 
Han Ke, Nanyang Technological University 
Vanja Kovic, University of Belgrade 
Remi Gau, Université catholique de Louvain 
Alec Shaw, University of Zürich, Switzerland
Ekansh Sareen, IIIT Delhi 
Giorgio Ganis, University of Plymouth 
Guiomar Niso, Indiana University 
Jasmine Wei Rou Tan, Goldsmiths, University of London 
Nastassja Lopes Fischer, Nanyang Technological University 
Robert Oostenveld, Donders Institute 
Shamala Sundaray, Nanyang Technological University 
Yu-Fang Yang, University of Würzburg 
Yuri Pavlov, University of Tübingen, Ural Federal University
Johannes Algermissen, Donders Institute, Radboud University
Matt Jaquiery, University of Oxford
Katarina Stekić, University of Belgrade, Serbia
Dejan Pajić, University of Novi Sad, Serbia
Mariella Paul, University of Göttingen



The goal of the ARTEM-IS working group is to use insights derived from systematic reviews to create human-user friendly, machine-readable templates for documenting the methodological details of an EEG study or pipeline, and to build these templates into usable tools.

  1. A human-readable template for description of a study, as would be suitable for submission as a supplementary document at the time of journal article submission, or alongside a preregistration (expected)
  2. App functionality to allow export of a completed template into the following (expected):
    1. A machine-readable data file
    2. A human-readable output
  3. App functionality to allow import of previously filled template information (e.g., Equipment fields from an equipment vendor; a research team’s standard operating procedure; expected)
  4. App-integrated ‘help’ functions (expected)
  5. Guidance to support a user in completing the template (expected)
  6. Standalone explanation & elaboration documents (expected)
  7. Training materials for researchers new to the field of EEG (expected)
Completed Deliverables