DAPHNE4NFDI - DAta from PHoton and Neutron Experiments for NFDI

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The photon and neutron science community encompasses users from a broad range of scientific disciplines facing a common need for high- level, rapid data analysis and the challenge of implementing research data management. The communities of science users are represented by the KFS and KFN committees, which have worked together for many years and are coming together here to meet common challenges imposed by the digital transformation of experiments. The DAPHNE consortium serves the broad community of users employing a wide range of photon and neutron techniques, comprising more than 5000 scientists throughout Germany. The community performs thousands of individual user experiments at central facilities every year, across many disciplines and using a range of techniques and a diverse instrumentation. Individual experiments can produce millions of files and in some cases over 1 PB data per week, depending on the experimental configuration. Moreover, the community is currently witnessing a fundamental change in both the amount of data recorded and the corresponding data rates triggered by the increase in the brightness of the sources themselves (x-ray free-electron lasers, high-brightness storage rings and new neutron facilities) and by the rapid increase in the size and speed of modern detectors. DAPHNE brings together users representing key scientific application domains with the large-scale research facilities in photon and neutron science in order to advance the state of data management in the community. Uniquely, DAPHNE engages directly with the user community to develop user-driven data solutions to advance science experiments. Broadly, we will provide the following tangible infrastructure through DAPHNE for the wider photon and neutron community: 1. Improve metadata capture through consistent workflows supported by user-driven online logbooks linked to the data collection, thus enabling a richer capture of information about the experiments than is currently possible; 2. Establish a community repository of processed data, new reference data bases and analysis code for published results, linked where possible to raw data sources, to sustainably improve access to research data and enable data and software re-use within the community; and 3. Develop, curate and deploy user-developed analysis software on facility computing infrastructure so that ordinary users can benefit from and repeat the analysis performed by leading power user groups through common data analysis portals. Furthermore, it will have strong positive side- effects for international facilities with German participation, such as the ESRF (Grenoble, France) and the ESS (Lund, Sweden)