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Data Collections Explorer – An Information System for the Engineering Sciences

Ost, Philipp ORCID iD icon 1; Stotzka, Rainer ORCID iD icon 1
1 Scientific Computing Center (SCC), Karlsruher Institut für Technologie (KIT)

Abstract (englisch):

The poster provides an overview of and an introduction to the Data Collections Explorer. It is an information system for engineering related resources, such as repositories, databases, archives, as well as datasets published independent of these structures. In addition, the poster describes current developments and provides an outlook on future work.

The target audience are scientists either searching for data sets or looking to publish their data sets.
Seeking to share or publish their research data sets, scientists are confronted with questions such as: what is an appropriate repository for publishing the data sets? Do repositories have size restrictions with respect to the data sets that can be uploaded? What is this limit? Are publication fees charged?
Searching for data sets, scientists are often confronted with questions such as: are data sets available to aid in research? Are benchmarks available to check results? Are these data sets available under an open access license?

The Data Collections Explorer is a low-threshold web service to share and discover research data. To help get an overview and answer the above questions, it provides a free-text search as well as drop-down menus to filter its entries for the following criteria:
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Volltext §
DOI: 10.5445/IR/1000160844
Veröffentlicht am 25.07.2023
Cover der Publikation
Zugehörige Institution(en) am KIT Scientific Computing Center (SCC)
Publikationstyp Poster
Publikationsdatum 27.06.2023
Sprache Englisch
Identifikator KITopen-ID: 1000160844
HGF-Programm 46.21.05 (POF IV, LK 01) HMC
Veranstaltung 1st NFDI-MatWerk Conference on Digital Transformation in Materials Science and Engineering (2023), Siegburg, Deutschland, 27.06.2023 – 29.06.2023
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), the research program ‘Engineering Digital Futures’ by the Helmholtz Research Association and the Helmholtz Metadata Collaboration (HMC) platform.
Schlagwörter NFDI-MatWerk, NFDI4Ing, NFDI
KIT – Die Forschungsuniversität in der Helmholtz-Gemeinschaft
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