The PaN-Finder science case presents an artificial intelligence–driven data discovery platform designed to enhance Open Science within Europe’s research communities by making data from photon and neutron facilities easier to find.

The initiative builds upon previous work undertaken through the PaNOSC (Photon and Neutron Open Science Cloud) project, which aimed to interconnect data catalogues from large-scale research facilities. While the initial federated portal provided a single access point to open data, it was limited by inconsistencies in metadata, domain-specific terminology, and the need for users to possess detailed technical knowledge to perform effective searches. PaN-Finder aims to lower these barriers, making the discovery of open research data more intuitive and inclusive.