21–27 Sept 2026
EuXFEL Lighthouse
Europe/Berlin timezone

Session

Fair Data Management

24 Sept 2026, 10:45
EuXFEL Lighthouse Auditorium

EuXFEL Lighthouse Auditorium

Presentation materials

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  1. Werner Sun (Cornell University)
    24/09/2026, 10:45
    FAIR data management
    Oral

    The recent emergence of agentic workflows in scientific research has highlighted the urgent need for high-quality AI-ready experimental datasets for model training and validation. To be AI-ready, these datasets should be described by rich, machine-readable metadata and provenance, following FAIR data principles. Metadata and provenance perform three functions in agentic workflows: they allow...

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  2. Fabio Dall'Antonia (Eur.XFEL (European XFEL))
    24/09/2026, 11:00
    FAIR data management
    Oral

    European XFEL is a photon source delivering highly coherent and extremely
    short X-ray pulses at megahertz repetition rate. Drawing on lessons learned
    during the first six years of operation, in particular the challenge of huge data
    volumes, and on insights from participation in FAIR[1] scientific data manage-
    ment initiatives, the Scientific Data Policy (SDP)[2] has been revised. In...

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  3. Hao Hu (Institute of High Energy of Physics)
    24/09/2026, 11:15
    FAIR data management
    Oral

    China’s High Energy Photon Source (HEPS) is the first national high-energy synchrotron radiation light source and one of the world’s brightest fourth-generation synchrotron radiation facilities. It started to operate and conduct user experiments at the end of 2025.

    The 14 beamlines for the phase I of HEPS are projected to produce more than 300PB raw data annually. Efficiently storing,...

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  4. Lei Lei (ShanghaiTech University)
    24/09/2026, 11:30
    FAIR data management
    Oral

    The Shanghai HIgh repetitioN rate XFEL and Extreme light facility (SHINE) will support experiments such as serial crystallography, coherent diffraction imaging, and X-ray spectroscopy. These experiments will generate massive, heterogeneous and time-correlated datasets with scientific and administrative metadata. FAIR data management is therefore essential for facility operation, long-term...

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  5. Melanie Nentwich (Deutsches Elektronen-Synchrotron DESY)
    24/09/2026, 11:45
    FAIR data management
    Oral

    The OSCARS project represents a unique European collaboration that unites Research Infrastructures across the European Science Clusters (SCs) representing the key domains: environmental research, physics and astronomy, photon and neutron, social, and life sciences. At its core, OSCARS focuses on promoting open science and FAIR data principles and addresses this challenge by three primary...

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  6. Spencer Bliven (PSI - Paul Scherrer Institut)
    24/09/2026, 12:00
    FAIR data management
    Oral

    The PSI Data Catalog is Paul Scherrer Institute’s data archiving, sharing, and publishing repository. It is built around SciCat, an open source scientific metadata catalog developed by a collaboration of various international institutes and research facilities. The catalog enables research data management aligned with FAIR principles at PSI large scale facilities, including the Swiss Light...

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  7. Allan Pinto (Brazilian Center for Research in Energy and Materials (CNPEM))
    24/09/2026, 12:15
    FAIR data management
    Oral

    Scientific facilities are evolving toward automated and data-intensive environments in which experiments continuously generate heterogeneous and large-scale datasets that must be managed under governance requirements. Although metadata catalogues have improved data management, the transient phase between acquisition and long-term cataloguing often remains fragmented, manually handled,...

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