Speaker
Description
The adoption of FAIR data principles in Photon and Neutron (PaN) science is promoted by the DAPHNE4NFDI consortium as part of German National Research Data Infrastructure (NFDI) initiative. In the framework of the X-Ray Reflectivity use case, a FAIR data workflow has been established at beamline P08 at PETRA III, DESY. Dedicated data reduction and analysis packages are provided for the liquid reflectometry LISA end-station, employing machine learning models to achieve near real-time prediction of analysis results.
Data processing workflows are automated using the EWOKS engine developed at ESRF, which ensures automated triggering and reproducibility of processing pipelines. The metadata produced by the instrument and analysis are propagated into the Electronic Lab Notebook SciLog and the Metadata Catalog SciCat. Complementary sample information is captured via International Generic Sample Numbers (IGSN) and linked to research data and metadata records.
This system creates a comprehensive set of information records connected to the raw and analyzed research data. Published PaN experimental results can be made available in a dedicated reference catalog and repository curated by DAPHNE4NFDI. Authors can submit high-quality data to provide them for reuse in the wider PaN community.
