5–6 Oct 2022
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Europe/Berlin timezone

NFDI Matwerk - Reference Datasets

1-36
Not scheduled
20m
virtual, details will be shared with you after registration

virtual, details will be shared with you after registration

Poster Postersession Postersession I

Speaker

Rossella Aversa (Karlsruhe Institute of Technology)

Description

Within NFDI-MatWerk (“National Research Data Infrastructure for Material Sciences”/ “Nationale Forschungsdateninfrastruktur für Materialwissenschaften und Werkstofftechnik“), the Task Area Materials Data Infrastructure (TA-MDI) will provide tools and services to easily store, share, search, and analyze data and metadata. Such a digital materials environment will ensure data integrity, provenance, and authorship. The MatWerk consortium aims to develop specific solutions jointly with Participant Projects (PPs), which are scientific groups or institutes covering different domains, from theory and simulations to experiments. The Data Exploitation Methods group of the Karlsruhe Institute of Technology-Steinbuch Centre of Computing, as part of TA-MDI, is developing specific solutions in close collaboration with three PPs.

PP07, together with the University of Stuttgart, aims at the image-based prediction of the material properties of stochastic microstructures using high-performance solvers and machine learning. PP13, in cooperation with the University of Saarland, focuses on tomographic methods at various scales in materials research. PP18, together with the Federal Institute for Materials Research and Testing (“Bundesanstalt für Materialforschung und -prüfung”), aspires to define the criteria for materials reference datasets and usage analytics.

The requirements and goals are comparable for each PP: their research outputs, which are scientific datasets, should conform to the FAIR (Findable, Accessible, Interoperable, Reusable) principles. We aim to shape them from a data management perspective making use of the FAIR Digital Object concept, including structured metadata and storage solutions. The results will be a blueprint which will act as a reference for future datasets. Even though the collaboration is in an early stage, the initial steps already show the added value of this approach.

This research has been supported by the Federal Ministry of Education and Research (BMBF) – funding code M532701 / the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) - project number NFDI 38/1, project no. 460247524.

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FAIR,
NFDI,
Materials Science,
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Primary authors

Yusra Shakeel (Karlsruhe Institute of Technology) Mehmet Soysal Elias Vitali (Karlsruhe Institute of Technology) Philipp Ost (KIT) Rossella Aversa (Karlsruhe Institute of Technology)

Co-authors

Luis A. Ávila Calderón (Bundesanstalt für Materialforschung und -prüfung) Michael Engstler (Saarland University) Jonas Fell (Saarland University) Felix Fritzen (University of Stuttgart) Hans-Georg Herrmann (Saarland University and Fraunhofer IZFP) Amir Laadhar (University of Stuttgart) Jürgen Olbricht (Bundesanstalt für Materialforschung und -prüfung) Christoph Pauly (Saarland University) Michael Roland (Saarland University) Birgit Skrotzki (Bundesanstalt für Materialforschung und -prüfung)

Presentation materials