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NFDI MatWerk / Materials Data Infrastructure

Stotzka, Rainer ORCID iD icon 1; Aversa, Rossella ORCID iD icon 1; Bitzek, Erik; Golowin, Nadine 2; Grünwald, Katharina 3; Hunke, Sirieam 3; Joseph, Reetu ORCID iD icon 1; Moghaddam, Amirreza 3; Ost, Philipp ORCID iD icon 1; Politze, Marius 3; Shakeel, Yusra ORCID iD icon 1; Soysal, Mehmet 1; Vitali, Elias
1 Scientific Computing Center (SCC), Karlsruher Institut für Technologie (KIT)
2 Institut für Nanotechnologie (INT), Karlsruher Institut für Technologie (KIT)
3 Rheinisch-Westfälische Technische Hochschule Aachen (RWTH Aachen)

Abstract (englisch):

The German National Research Data Infrastructure (NFDI) aims to systematically develop sustainably secure and make accessible the data holdings of science and research. It is being established as a networked structure of consortia acting on their own initiative. In NFDI-MatWerk, a reliable digital platform for the materials and nanosciences is being established, which enables the digital representation of materials data and specific metadata. Within NFDI-MatWerk the Task Area Materials Data Infrastructure will provide services to easily store, share, search, and analyze data and metadata while ensuring data integrity, provenance, and authorship.

The concept of FAIR Digital Objects, developed in the Research Data Alliance and in the FAIR Data Commons of HMC, will be utilized to represent data objects. Data sets and metadata documents will be stored in research data repositories and metadata repositories, respectively.
Metadata is one of the key elements to implement both human-readable as well as machine-actionable representations of materials-related information. Additional services will be provided for metadata enrichment and annotation, harvesting and indexing, as well as for documenting the provenance of the data objects. ... mehr


Volltext §
DOI: 10.5445/IR/1000151571
Veröffentlicht am 19.10.2022
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Angewandte Materialien (IAM)
Institut für Nanotechnologie (INT)
Scientific Computing Center (SCC)
Publikationstyp Poster
Publikationsdatum 05.10.2022
Sprache Englisch
Identifikator KITopen-ID: 1000151571
HGF-Programm 46.21.05 (POF IV, LK 01) HMC
Weitere HGF-Programme 46.21.01 (POF IV, LK 01) Domain-Specific Simulation & SDLs and Research Groups
Veranstaltung Helmholtz Metadata Collaboration | Conference 2022 (2022), Online, 05.10.2022 – 06.10.2022
Schlagwörter Metadata, NFDI, Materials Science
KIT – Die Forschungsuniversität in der Helmholtz-Gemeinschaft
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