Bereiche | Tage | Auswahl | Suche | Aktualisierungen | Downloads | Hilfe

AGI: Arbeitsgruppe Information

AGI 1: RDM I: NFDI consortia (joint session AGI/AKPIK)

AGI 1.4: Hauptvortrag

Dienstag, 28. September 2021, 12:25–12:45, H1

FAIRmat -- Making Materials Data Findable and AI Ready — Claudia Draxl¹ and •FAIRmat team² — ¹Institut für Physik, Humboldt-Universität zu Berlin — ²https://www.fair-di.eu/fairmat/fairmatteam

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.

In this talk, we discuss how the NFDI consortium FAIRmat (https://fair-di.eu/fairmat) is approaching these goals, and how researchers can profit from our first steps already now.