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.