Today we release of the second in our series of short videos demonstrating how the EOSC Federation enables cross-disciplinary science.
This science case highlights the added value of near-data computation—bringing workflows directly to large scientific datasets instead of moving massive data volumes to researchers.
Leveraging CERN’s REANA reproducible research data analysis platform, the EOSC Federation enables researchers to run containerised analyses at the data source across federated computing resources, improving speed, scalability, and reproducibility. The use case demonstrates this concept through particle physics—a field that generates enormous data volumes—but it is applicable to many other domains, including astronomy and life sciences.
The collaboration brings together the CERN EOSC Node, the Finnish, Italian and Polish Nodes, the SURF EOSC Node, and the EOSC EU Node.






