Governance

The participants of a digital RI do not have to be the same. On the contrary, the value of a consortium is that different groups play different roles.

The consortium coordinator is responsible for the overall organization, preparation of documents, communication between participants, public profile of the RI, communication with RIFF, EOSC, Horizon Europe and other initiatives.

The digital platform operator provides the technical environment: servers, JupyterHub, containers, user access, basic support, integration with repositories and computing resources.

The computational workflow team prepares and maintains examples for Quantum ESPRESSO, AiiDA, ASE, LAMMPS, NequIP, Python/PyTorch and other tools. Its task is to transform complex technical procedures into understandable routes for users.

The FAIR/data team helps with DMP, metadata, DOI, README, DataverseUA, licenses, retention rules, citation and preparation of the dataset for publication.

Scientific user groups generate practical demand. They propose tasks, test workflows, prepare demonstrators, provide sample datasets, and show how digital AI works on real research topics.

The training team prepares short courses, tutorials, workshops, webinars, consultations, and document templates.

The main principle is simple: participation in the consortium should not be formal, but functional. Each participant should show what exactly he adds to the common digital AI.