Dr. Andreas Redelbach

The aim of the PUNCH4NFDI consortium is to organize the data from particle, astroparticle, hadron, and nuclear physics in a "sustainable" way in many aspects. One big goal is to make new experimental data from these research areas available - within the principles of "FAIR" data management. Here, "FAIR" stands for Findable, Accessible, Interoperable, and Reusable. This task is tough because many future experiments will have to make more complex decisions on much shorter time scales and use computing resources more effectively. Improving workflows for research data management can thus also strengthen green computing concepts. The PUNCH consortium is organized into several task areas covering a broad range of prototype developments for a set of use cases. In this talk I will highlight some recent results from PUNCH4NFDI projects that can be relevant for researchers working in the fields of big data analysis, particle phenomenology and astrophysics.