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Data Collections Explorer – An Easy-to-Use Tool for Sharing and Discovering Research Data

Ost, Philipp ORCID iD icon 1; Shakeel, Yusra ORCID iD icon 1; Tögel, Philipp ORCID iD icon 1
1 Scientific Computing Center (SCC), Karlsruher Institut für Technologie (KIT)

Abstract (englisch):

There is a wide variety of archives, databases, and repositories currently available that pro-vide access to research data. However, basic information about these systems is often diffi-cult to gather, such as whether there are limits to the size of data sets that can be published or whether there is any publication fee that applies. In addition to that, there are plenty of re-search groups publishing their research data sets independently of these infrastructures, making it difficult for scientists to find them since they are not centrally registered. Research data must be easily discoverable and accessible for scientists to use it effectively. The Data Collections Explorer, developed within the national research data infrastructure for the engineering sciences NFDI4Ing, is an easy-to-use information system addressing these needs. It is a low threshold information system that provides an overview of research data repositories, archives, databases as well as individually published data sets. Similar systems exist in other subject areas, for example the Data Repository Finder focusing on the medi-cal, life and social sciences. Contrary to the Data Collections Explorer, the Data Repository Finder only lists repositories.


Verlagsausgabe §
DOI: 10.5445/IR/1000162286
Veröffentlicht am 15.09.2023
Cover der Publikation
Zugehörige Institution(en) am KIT Scientific Computing Center (SCC)
Publikationstyp Proceedingsbeitrag
Publikationsjahr 2023
Sprache Englisch
Identifikator ISSN: 2941-296X
KITopen-ID: 1000162286
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
Erschienen in Proceedings of the Conference on Research Data Infrastructure. Ed.: Y. Sure-Vetter. Vol. 1
Veranstaltung 1st Conference on Research Data Infrastructure (CoRDI 2023), Karlsruhe, Deutschland, 12.09.2023 – 14.09.2023
Verlag Technische Informationsbibliothek Open Publishing (TIB Open Publishing)
Seiten 3 S.
Projektinformation NFDI4Ing (DFG, NFDI 9/1)
NFDI-MatWerk (DFG, NFDI 38/1)
Bemerkung zur Veröffentlichung This work has been supported by NFDI4Ing (DFG – project number 442146713), NFDI-MatWerk (DFG – project number 460247524) and the Helmholtz Metadata Collaboration (HMC) platform.
Vorab online veröffentlicht am 07.09.2023
Schlagwörter NFDI4Ing, NFDI, NFDI-MatWerk, CoRDI
Nachgewiesen in Dimensions
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