Intra-consortia data sharing platforms for interdisciplinary collaborative research projects

Max Schröderhttp://orcid.org/https://orcid.org/0000-0003-1522-494X 1 , Hayley LeBlanc 2 , Sascha Spors 1 , and Frank Krüger 1
  • 1 University of Rostock, Institute of Communications Engineering, R.-Wagner-Str. 31 (Haus 8), Rostock, Germany
  • 2 Denison University, 7554 Slayter Union, Granville, United States of America
Max SchröderORCID iD: https://orcid.org/0000-0003-1522-494X
  • Corresponding author
  • University of Rostock, Institute of Communications Engineering, R.-Wagner-Str. 31 (Haus 8), D-18119, Rostock, Germany
  • orcid.org/0000-0003-1522-494X
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  • M. Sc. Max Schröder is a doctoral researcher at the CRC 1270 ELAINE with interests incl. provenance modeling, virtual research environments, artificial intelligence, and reproducible science.
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, Hayley LeBlanc
  • Denison University, 7554 Slayter Union, 43023, Granville, Ohio, United States of America
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  • Hayley LeBlanc is a student at Denison University and worked at the University of Rostock during a DAAD Research Internships in Science and Engineering (RISE) internship.
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, Sascha Spors
  • University of Rostock, Institute of Communications Engineering, R.-Wagner-Str. 31 (Haus 8), D-18119, Rostock, Germany
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  • Prof. Dr.-Ing. Sascha Spors is professor of signal theory and digital signal processing. His research interests are focused around audio signal processing, capture and reproduction of spatial sound, virtual acoustics and open science.
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and Frank Krüger
  • University of Rostock, Institute of Communications Engineering, R.-Wagner-Str. 31 (Haus 8), D-18119, Rostock, Germany
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  • Dr.-Ing. Frank Krüger is currently a Senior Research Scientist in research data management. His research interests include provenance modeling, natural language processing and artificial intelligence as well as open science, and research data management in interdisciplinary teams.
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Abstract

As the importance of data in today’s research increases, the effective management of research data is of central interest for reproducibility. Research is often conducted in large interdisciplinary consortia that collaboratively collect and analyse such data. This raises the need of intra-consortia data sharing. In this article, we propose the use of data management platforms to facilitate this exchange among research partners. Based on the experiences of a large research project, we customized the CKAN software to satisfy these needs for intra-consortia data sharing.

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