The Joint Lab Model and Data Driven Materials Characterization is a cross-centre platform of the Helmholtz Association.
For their contribution to the Materials Research Data Alliance annual meeting, colleagues from the Steinbuch Centre for Computing (SCC) at Karlsruhe Institute of Technology (KIT) received an award for the best poster.
Awarded were: Reetu Elza Joseph, Elias Giulio Georg Vitali and Rossella Aversa.
Many thanks to the team for this great success.
The poster describes a Metadata Extractor and Schema Mapper that automates metadata collection from instruments, enabling researchers to extract the metadata without manual effort and map it to a metadata schema. A browser based GUI facilitates the use of the tool for the researchers, requiring no programming expertise from them. The pilot version supports TIFF images generated by Scanning Electron Microscopes (SEM) manufactured by Zeiss.
This tool has been developed in the frame of the German Research Data Infrastructure for Materials Science NFDI-MatWerk, the NFFA-Europe Pilot (NEP), the Joint Lab “Integrated Model and Data-driven Materials Characterization, the SDL-Materials Science and the Helmholtz Metadata Collaboration platform.