Rucio is a software framework that provides functionality to organize, manage, and access large volumes of scientific data using customisable policies. The data can be spread across globally distributed locations and across heterogeneous data centers, uniting different storage and network technologies as a single federated entity. Rucio offers advanced features such as distributed data recovery or adaptive replication, and is highly scalable, modular, and extensible. Rucio has been originally developed to meet the requirements of the high-energy physics experiment ATLAS, and is continuously extended to support LHC experiments and other diverse scientific communities.

Rosie Bolton (SKA Organisation) introduced the Astronomy community reports where various researchers joined on behalf of the ESCAPE project:

• Rohini Joshi (SKA Organisation), SKAO Rucio deployment and metadata/data lifecycle use case - watch the recording, download the presentation.
• Agustin Bruzzese (CTA), Rucio deployment: Managing MAGIC data - watch the recording, download the presentation.
• Frederic Gillardo (Centre National de la Recherche Scientifique), CTA rucio use case and development with cloud storage - watch the recording, download the presentation.
• Yan Grange (ASTRON), LOFAR Use Cases in ESCAPE - Experience and Future Directions - watch the recording, download the presentation.
• Dave Morris (University of Edinburgh), IVOA services - watch the recording, download the presentation.
• Riccardo Di Maria (CERN), ESCAPE Data Lake as a Service - watch the recording, download the presentation.

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