RI-SCALE
Project duration
March 01, 2025 - February 29, 2028
Project partners
- Stitching EGI
- Archimede Solutions SARL
- Bio and Biomolecular Resources Research Infrastructure Consortium
- Comprimato
- EISCAT Scientific Association
- Euro-BioImaging ERIC
- European Centre For Medium-Range Weather Forecast
- European Molecular Biology Laboratory
- European Organization for Nuclear Research
- Fondazione Centro Euro-Mediterraneo sui Cambiamenti Climatici
- Forschungszentrum Jülich
- FragmentiX Storage Solutions
- German Climate Computing Center (DKRZ)
- Hypermeteo
- Istituto Nazionale di Fisica Nucleare
- JNP
- Kungliga Tekniska högskolan
- Lulea Technical University
- Masarykova Univerzita
- Masarykuv Onkologicky Ustav
- Medical University Graz
- National Infrastructures for Research and Technology
- Neuraspace
- T-Systems International GmbH
- Technische Universität Wien
- Turkiye Bilimsel Ve Teknolojik Arastirma Kurumu
- UK Research and Innovation (Centre for Environmental Data Analysis)
- Universitat Politecnica de Valencia
- University of Trento
Funding
The project is funded by the European Union Horizon Europe Programme - Grant Agreement Number 101188168 under the call HORIZON-INFRA-2024-TECH-01.
Project Description
Data and AI are the fuel of scientific discoveries, and Research Infrastructures (RIs) are at the forefront of this process, generating massive and increasingly more complex datasets. However, the growing size, diversity, and velocity of research data and software demand large-scale infrastructures and technical expertise from those on the user side.
RI-SCALE will address this challenge by delivering Data Exploitation Platforms (DEPs). These scalable environments will co-host scientific data with preconfigured AI frameworks and models on powerful compute resources and unlock full data and AI potential for scientific users, RI operators and industry. RI-SCALE will design and develop the DEP technology with four RIs: ENES, EISCAT, BBMRI and Euro-BioImaging. DEP instances will be deployed for environmental and life sciences, validating the technology through 8 scientific and 4 technical use cases. These will run on national e-infrastructures from the EGI Federation and (pre)exascale machines from EuroHPC.
RI-SCALE will collaborate with Destination Earth, EUCAIM cancer images data space, Copernicus Data Space Ecosystem, EOSC andGaia-X to ensure interoperability within the broader landscape. The project will also facilitate industry and university collaborations, provide training and consultancy events to increase the uptake of AI technologies by additional RIs and explore sustainable DEP operation models for RI communities.
Links
Project website: www.riscale.eu