SKM 2023 – wissenschaftliches Programm

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TT: Fachverband Tiefe Temperaturen

TT 56: Focus Session: Making Experimental Data F.A.I.R. – New Concepts for Research Data Management I (joint session O/TT)

TT 56.1: Topical Talk

Donnerstag, 30. März 2023, 15:00–15:30, WIL A317

Introducing a FAIR research data management infrastructure for experimental condensed matter physics data — •Christoph Koch — Humboldt-Universität zu Berlin, Department of Physics & IRIS Adlershof, Berlin, Germany

Digitization and an increase in complexity and price of experimental materials characterization techniques, an increase in accuracy and system size of computational solid state physics (or computational materials science), and the maturation of machine learning tools to extract patterns from large amounts of very diverse (annotated) data promise an acceleration of materials development by synergistically combining research data from many sources. While some labs start to upload their (raw) research data to data repositories, this is only a first but not sufficient step in leveraging the above-mentioned potential, since such repositories are typically either specific to a very particular technique or agnostic to the content of the data being uploaded. In both cases the research data cannot easily, and definitely not without significant human effort, be compared to and integrated with experimental data from other sources, or numerical predictions. In this talk I will report on recent progress of the FAIRmat NFDI consortium in extending the novel materials discovery laboratory (NOMAD), the world's largest data base for ab-initio computational materials data, to ingest experimental research data on the synthesis and characterization of materials in a machine-accessible manner, i.e. annotated with well-defined and interoperable metadata, achieved by establishing links between related (experimental and computational) quantities.