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.

The NIDM Working Group is further developing the NeuroImaging Data Model (NIDM) originally conceived by the INCF Neuro Imaging DAta SHaring (NIDASH) Task Force and the BIRN Derived Data Working Group (DDWG).

NIDM describes an extension of the W3C PROV standard for the domain of human brain mapping and, in recent years, has been working closely with the Brain Imaging Data Structure (BIDS).

Currently this Working Group has two active subgroups focusing on:

• NIDM-experiment: Interlinkage of existing BIDS datasets chaired by David Keator
• BIDS-Prov: Representing neuroimaging provenance (follow up of NIDM-Worklows) chaired by Camille Maumet and Satrajit Ghosh

Previously this group developed NIDM-Results, a software-agnostic model to represent results of mass univariate studies (such as fMRI studies).