Speaker
Description
The principles of FAIR data are crucial for the quality and reusability of research data. DAPHNE4NFDI, a project within the German National Research Data Infrastructure, specifically implements these principles for the research photon and neutron research community, thereby pursuing the same goals as ORSO.
One specific aim of DAPHNE4NFDI is to enhance transparency, quality, reliability, and reusability of X-Ray reflectometry data by creating databases that record not only raw data but also all processing and analysis steps, along with detailed sample descriptions. In line with this objective, we are pleased to introduce the X-ray reflectometry (XRR) Open Data Database. It compiles published reflectometry data and associated metadata that serves as a reference for high-quality XRR data and a data basis for training AI tools for the advanced analysis of future reflectivity data.
We present the XRR Open Data Database and highlight its practical benefits for the community in terms of the FAIR data principles. Furthermore, we demonstrate the associated workflow for conveniently sharing published reflectivity data and corresponding metadata with the community. Finally, we invite members of the ORSO community to contribute their published XRR data to the XRR Open Data Database.
