SKM 2023 – wissenschaftliches Programm
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TT: Fachverband Tiefe Temperaturen
TT 68: Focus Session: Making Experimental Data F.A.I.R. – New Concepts for Research Data Management II (joint session O/TT)
TT 68.4: Vortrag
Freitag, 31. März 2023, 10:30–10:45, WIL A317
Towards an Infrastructure for FAIR Synthesis Data — •Sebastian Brückner1,2, Andrea Albino1, Jose Marquez1, Florian Dobener1, Hampus Näsström1, Markus Scheidgen1, Claudia Draxl1, and Martin Albrecht2 — 1HU Berlin, Zum Großen Windkanal 2, 12489 Berlin — 2IKZ Berlin, Max-Born-Straße 2, 12489 Berlin
A data infrastructure based on the FAIR (findable, accessible, interoperable and reusable) principles promises a new way of sharing and exploring data by using highly efficient data analysis and artificial intelligence tools. This also applies to data related to sample synthesis. At present, most synthesis data are not structured comprehensively or not even stored digitally but in handwritten lab books. There hardly exists any data standards in synthesis, which is in contrast to data from characterization techniques. The FAIRmat project (https://FAIRmat-NFDI.eu) is building a FAIR data infrastructure for condensed-matter physics and the chemical physics of solids. In FAIRmat's Area A, we focus on synthesis data to make sample synthesis reproducible, accelerate the development of novel materials, and make characterization data of synthesized materials assessable. Here we summarize our ongoing work and progress including: providing a general data model for synthesis which is harmonized with data from measurements and theory (ontologies); implementation of our data model in use cases and electronic laboratory notebooks; developing tools for data acquisition and analysis; data governance guidelines to enable a sustainable change of research data management at the institute/university level.