Project description
Boosting data and AI for science
Scientific discoveries increasingly rely on data and AI. Research infrastructures (RIs) generate huge amounts of complex data, but managing, analysing and using this information is becoming a major challenge. Scientists often lack the large-scale tools and expertise needed to process data quickly and effectively. With this in mind, the EU-funded RI-SCALE project is tackling this issue by creating scalable Data Exploitation Platforms. These platforms will combine scientific data with preconfigured AI tools and powerful computing resources, unlocking their full potential. Working with four RIs (ENES, EISCAT, BBMRI and Euro-BioImaging), RI-SCALE will test the technology in environmental and life sciences. It will also foster collaborations to help more RIs adopt these innovations.
Objective
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 and Gaia-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.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- natural sciencescomputer and information sciencessoftware
- medical and health sciencesclinical medicineoncology
- natural sciencesbiological sciencesecologyecosystems
- engineering and technologyenvironmental engineeringenergy and fuels
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HORIZON-RIA - HORIZON Research and Innovation ActionsCoordinator
1098 XG Amsterdam
Netherlands
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Participants (27)
8010 Graz
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602 00 BRNO
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
981 92 Kiruna
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20521 Turku
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RG2 9AX Reading
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69117 Heidelberg
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1211 Meyrin
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73100 Lecce
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52428 Julich
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3400 Klosterneuburg
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
20146 Hamburg
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00184 Roma
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
00044 Frascati
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15238 Xalandri
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
100 44 Stockholm
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971 87 Lulea
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601 77 Brno
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656 53 Brno
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8010 Graz
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11523 Athina
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3030-199 Coimbra
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
60528 Frankfurt Am Main
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1040 Wien
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06100 Ankara
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SN2 1FL Swindon
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46022 Valencia
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38122 Trento
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Partners (1)
Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
1201 Geneve
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.