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.
Funding statement: Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – SFB 1270/1 - 299150580.
About the authors
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.
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.
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.
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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