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RI-SCALE

Unlocking RI potential with Scalable AI and Data
About

RI-SCALE

Coordinator: EGI Foundation

Research Infrastructures are rapidly evolving into large-scale data hubs, generating critical datasets essential for scientific breakthroughs. However, the full potential of these vast datasets is often constrained by technical challenges, including limited computational resources, expertise, and ready-to-use tools for data staging, analysis, and AI-driven insights. The EU-funded RI-SCALE project tackles this issue head-on by developing and deploying Data Exploitation Platforms (DEPs), enabling seamless access to and advanced analysis of Research Infrastructure datasets, driving AI application development and enabling more impactful scientific research.

The RI-SCALE project brings together a diverse consortium of stakeholders, including four thematic RIs—ENES, EISCAT_3D, BBMRI, and Euro-BioImaging—as well as leading compute providers from EGI (Technical University of Wien and TÜBİTAK) and prominent data spaces such as Copernicus, DestinE, and EUCAIM. The project’s primary goal is to co-design, prototype, and validate a DEP technology that supports scalable computational platforms for AI-driven data exploitation.

start
01/03/2025
end
29/02/2028
Funding Source
EC Horizon Europe
project budget
EUR 9,998,828
egi budget
EUR 1,930,625
Contract No.
101188168
type of project
Research and innovation
Target Group
Research communities

EGI Foundation role in the project:

EGI serves as the project coordinator, and

  • leads WP1 to manage administrative, technical, financial, and ethical compliance, ensuring smooth execution across 29 partners.
  • drives the development of trusted data replication and lifecycle management solutions in WP2, aligning RI datasets with cloud and HPC environments while focusing on energy efficiency.
  • In WP3, EGI facilitates the integration of scalable AI frameworks into DEPs, enabling advanced data processing for RIs in environmental and biomedical sciences.
  • As the leader of WP4, EGI designs secure, interoperable identity, authentication, and authorisation solutions, ensuring compliance across RIs, e-infrastructures, and Data Spaces.
  • EGI also coordinates co-design and validation efforts in WP5, ensuring DEP prototypes meet technical and scientific needs, and
  • leads dissemination and capacity-building efforts in WP6 to maximise project impact and foster the adoption of DEP technologies.

Expected results:

RI-SCALE represents an important step in advancing the role of European RIs in global research and innovation ecosystems. With its diverse consortium, robust technological framework, and vision aligned with EU policy goals, the project will pave the way for sustainable and impactful use of research data.
Key Exploitable Results include:
  • KER1: Data Exploitation Platform(DEP)

Develop a prototype platform for hosting RI datasets and scalable data analytics on these datasets. The platform allows data-intensive computing on top of the data served.

  • KER#2: AI Frameworks and Models for Scalable Analytics within DEPs

Develop and integrate AI frameworks for integration into DEP installations. Develop and integrate AI models for training with the underlying data from the DEPs, reusing foundational AI models and community AI models. Serving trained and validated AI models for reuse.

  • KER#3: Pilot DEP deployments (DEPs)

Deploy pilots of KER#1 to validate them in the production environment along with components integrated from KER#2.

  • KER#4: Engagement framework towards SMEs

Develop an Engagement framework towards SMEs and startups focusing on EDIHs and the spin-off ecosystem to involve them in validating the DEPs and the AI capabilities.

  • KER#5: Competence Centre Establish competence centres to deep dive into KER#1, KER#2 and KER#3 on Scalable AI results to collaboratively co-design solutions for scalable AI challenges.

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EGI Project Team

Gergely Sipos is the Head of the Services, Solutions and Support department at the EGI Foundation.

Malgorzata Krakowian is the Project Management Team Lead at EGI Foundation.

Ville Tenhunen is a Data Solutions Architect at EGI Foundation.

Yin Chen is a Senior Community Support Officer at EGI Foundation.

Matteo Agati

Matteo Agati works as a Project Management Officer at EGI Foundation

Magdalena Brus is the leader of the EGI communications team, responsible for the communications strategy and its implementation.

Smitesh Jain is a Senior Innovation Management Specialist at EGI Foundation.

Valeria Ardizzone is IAM Solution Manager at EGI Foundation.