EquipEx+: The COMMONS project is supported by the “Programme d’Investissements d’Avenir”
OpenEdition, Métopes and Huma-Num support COMMONS, the consortium on open services and data in social sciences (Consortium de Moyens Mutualisés pour des Services et Données Ouvertes en SHS). COMMONS is one of the projects awarded the tender for “Équipements Structurants pour la Recherche: EquipEx+” by the Programme d’Investissements d’Avenir (PIA 3) (The Future Investment Program’s “Structuring Equipment for Research” tender). Bringing together three leading French social sciences bodies, COMMONS will cover the entire knowledge chain, from data generation to public dissemination, and in so doing, will help to advance open science.
The PIA3 ESR/EquipEx+ will provide new equipment worth up to 224 million euros around France, whose main purpose will be scientific research, and which will promote French scientific leadership. This project will also contribute to the digital transformation of research and innovation.
The COMMONS project brings together three leading French social sciences bodies: OpenEdition, Métopes and Huma-Num.
The consortium’s partners have been working for years on the development of open science in the social sciences. Their experience now means that they can offer equipment, tools and services that meet the needs of research processes to the entire French and international social sciences community.
The integrated COMMONS environment covers the entire chain of knowledge production, from data generation to its public dissemination. By ensuring access to both publications and data, and the connection between publications and data, the COMMONS project makes a decisive contribution to improving production conditions for social sciences research and to promoting discussion and comparison of research results. It guarantees respect for scientific integrity in data production and processing.
OpenEdition, Huma-Num, and Métopes have teamed up to radically advance open science around the following three axes:
- Making data FAIR (Findable, Accessible, Interoperable and Reusable)
- Making publications and data open-access
- Increasing the skills of data producers and users
For more, see the press release on the PIA 3 ESR/EquipEx+ results