The enormous amounts of research data produced every day in the field of condensed matter physics and the chemical physics of solids represent a gold mine of the 21st century. This gold mine is, however, of little value, if these data are not comprehensively characterized and made available. How can we refine this feedstock, i.e., turn data into knowledge and value? Here, a FAIR (Findable, Accessible, Interoperable, and Re-usable) data infrastructure plays a decisive role. Only then, data can be readily shared and explored by data analytics and artificial-intelligence (AI) methods. Making data Findable and AI Ready (a forward-looking interpretation of the acronym) will change the way how science is done today.
Claudia Draxl and Christoph Koch are both physicists and work as Professors at Humboldt-Universit?t zu Berlin, as well as spokespersons for FAIRmat. In two talks, we discuss how the NFDI consortium FAIRmat (https://fairmat-nfdi.eu) is approaching these goals, and introduce our FAIR data management infrastructure that researchers can already benefit from now.
Recording of the webinar: