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The PRIMA Thesaurus for Materials Science and Engineering

Aversa, Rossella ORCID iD icon 1; Boubnov, Alexey 2; De Angelis, Dario; Eschke, Catriona; Kabbe, Maximilian ORCID iD icon 3; Kraus, Felix ORCID iD icon 1; Panighel, Mirco; Thelen, Richard; Valentinis, Davide
1 Scientific Computing Center (SCC), Karlsruher Institut für Technologie (KIT)
2 Institut für Nanotechnologie (INT), Karlsruher Institut für Technologie (KIT)
3 Institut für Mikrostrukturtechnik (IMT), Karlsruher Institut für Technologie (KIT)

Abstract:

Materials science and engineering (MSE) is characterized by heterogeneous workflows, often coupled with limited research data management (RDM) practices. In particular, provenance metadata are often confined within individual electronic laboratory notebooks (ELNs), highlighting the need for semantic resources that support findable, accessible, interoperable, and reusable (FAIR) data, while remaining accessible to nonexperts. The presented Provenance information for materials science (PRIMA) Thesaurus addresses this challenge by providing a structured vocabulary for describing experimental and computational workflows, without relying on complex conceptual models or formal axiomatization. ... mehr

Abstract (englisch):

Materials science and engineering (MSE) is characterized by heterogeneous workflows, often coupled with limited research data management (RDM) practices. In particular, provenance metadata are often confined within individual electronic laboratory notebooks (ELNs), highlighting the need for semantic resources that support findable, accessible, interoperable, and reusable (FAIR) data, while remaining accessible to nonexperts. The presented Provenance information for materials science (PRIMA) Thesaurus addresses this challenge by providing a structured vocabulary for describing experimental and computational workflows, without relying on complex conceptual models or formal axiomatization. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000195459
Veröffentlicht am 21.07.2026
Originalveröffentlichung
DOI: 10.1002/adem.202503159
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Mikrostrukturtechnik (IMT)
Institut für Nanotechnologie (INT)
Scientific Computing Center (SCC)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2026
Sprache Englisch
Identifikator ISSN: 1438-1656, 1527-2648
KITopen-ID: 1000195459
HGF-Programm 46.21.01 (POF IV, LK 01) Domain-Specific Simulation & SDLs and Research Groups
Erschienen in Advanced Engineering Materials
Verlag Deutsche Gesellschaft für Materialkunde e.V. (DGM)
Projektinformation NFFA-Europe (EU, H2020, 654360)
NFDI-MatWerk, 460247524 (DFG, NFDI 38/1)
Bemerkung zur Veröffentlichung This work was carried out with the support of: the Joint Laboratory Model and Data-driven Materials Characterization (JL MDMC), a cross-centre platform of the Helmholtz Association; the EU’s H2020 framework program for research and innovation under grant agreement n. 101007417, NFFA-Europe PILOT; the consortium NFDI-MatWerk, funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under the National Research Data Infrastructure - NFDI 38/1 - project number 460247524; the research program “Engineering Digital Futures” of the Helmholtz Association of German Research Centers; the Helmholtz Metadata Collaboration Platform.
Vorab online veröffentlicht am 20.07.2026
Schlagwörter findable, accessible, interoperable, and reusable (FAIR) vocabulary, materials science, materials science and engineering (MSE), thesaurus
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