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Linking Research Data

Kirar, Ajay 1; Hunke, Sirieam 2; Aversa, Rossella ORCID iD icon 1; Stotzka, Rainer ORCID iD icon 1; Heinrichs, Benedikt 2; Shakeel, Yusra ORCID iD icon 1; Joseph, Reetu Elza ORCID iD icon 1
1 Scientific Computing Center (SCC), Karlsruher Institut für Technologie (KIT)
2 Rheinisch-Westfälische Technische Hochschule Aachen (RWTH Aachen)

Abstract (englisch):

Efficient management and accessibility of research data are vital tasks that researchers face in their work. Meeting the requirements of Findable, Accessible, Interoperable, and Reusable (FAIR) principles can be challenging without the right tools and methodologies. This workshop aims to address these challenges by presenting three tutorials and a presentation that focus on linking research data through various repositories and frameworks.
The first two tutorials, "NFDI-MatWerk Data Repository" and "NFDI-MatWerk Metadata Repository'', introduce the participants to the NFDI-MatWerk Data and Metadata repositories, respectively. Both repositories offer the Materials Science and Engineering community an easy to use interface. The NFDI-MatWerk Data Repository allows to store, retrieve, and manage research data. In addition, the NFDI-MatWerk Metadata Repository manages the associated metadata documents and their underlying schemas. The first tutorial shows the participants how to ensure seamless data management, while the second tutorial focuses on registering metadata documents, creating new schemas, and establishing links between metadata and data using persistent identifiers. ... mehr


Volltext §
DOI: 10.5445/IR/1000160341
Veröffentlicht am 11.07.2023
Cover der Publikation
Zugehörige Institution(en) am KIT Scientific Computing Center (SCC)
Publikationstyp Vortrag
Publikationsdatum 29.06.2023
Sprache Englisch
Identifikator KITopen-ID: 1000160341
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 1st NFDI-MatWerk Conference on Digital Transformation in Materials Science and Engineering (2023), Siegburg, Deutschland, 27.06.2023 – 29.06.2023
Schlagwörter FAIR DO , Research Data
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