The RI-SCALE project is grounded in real scientific needs. Each participating Research Infrastructure brings forward two scientific use cases that highlight the pressing challenges and opportunities in working with research data at scale.
These use cases span a diverse range of disciplines, ensuring that RI-SCALE’s solutions are not only technically robust but relevant across the research spectrum. They serve both:
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Data providers, by improving tools for quality assurance, processing, and reuse
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Data users, by making powerful AI-supported analysis more accessible and efficient
Together, these use cases form the foundation for building, validating, and refining the next generation of AI-ready platforms for research data exploitation.
