MSE 2024
Lecture
26.09.2024
Framework for Curation and Distribution of Reference Datasets on the Example of Creep Data of Ni-Base Superalloys
LA

Dr.-Ing. Luis Avila

Bundesanstalt für Materialforschung und -prüfung (BAM)

Avila, L. (Speaker)¹; Shakeel, Y.²; Hunke, S.³; Gedsun, A.⁴; Forti, M.⁵; Tsybenko, H.⁶; Hammerschmidt, T.⁵; Olbricht, J.¹; Aversa, R.²; Chmielowski, M.⁷; Stotzka, R.²; Bitzek, E.⁷; Hickel, T.¹; Skrotzki, B.¹
¹Federal Institute for Materials Research and Testing, Berlin; ²Karlsruhe Institute of Technology; ³RWTH Aachen; ⁴Albert-Ludwigs-Universität Freiburg; ⁵Ruhr University Bochum; ⁶Forschungszentrum Jülich; ⁷Friedrich-Alexander-Universität Erlangen-Nürnberg, Fürth
Vorschau
23 Min. Untertitel (CC)

This presentation introduces our current effort to develop a best practice framework for generating and distributing MSE reference datasets using creep data of Ni-based superalloys as an example, building on previous approaches. Our framework concept, for reference data, includes the generation of the data along with an agreement on the necessary metadata, considering the intended usage, and the integration into an easily accessible digital infrastructure to annotate and discover/distribute the datasets using a metadata schema accordingly aligned to a domain ontology. Furthermore, we aim to develop a widely accepted definition of reference data of materials, reach a self-supported community process, and motivate the discussion about reference material datasets and necessary metadata. The development of the intended framework is only possible through the collaboration of experts from materials science, semantics and ontologies, and data science, including data infrastructure service developers.

Abstract

Abstract

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