Beyan, Oya
Wuchner, Andrea
Eisengräber-Pabst, Dirk
Quix, Christoph
Zaschke, Christian
Schumacher, Oliver
2018-09-06
<p>The Fraunhofer Society, as the leading organization for applied research in Europe, conducts its research<br>
activities by 72 institutes and research units at locations throughout Germany. The Fraunhofer Digital project,<br>
a part of the Fraunhofer 2022 Agenda, introduces the vision, that research and administrative data will be<br>
linked, aggregated and analyzed in order to optimize the research and development processes and support<br>
management decisions. As a part of this vision, the Research Data in the Fraunhofer Data Space project<br>
develops methods to reuse the research data in a broader sense, and integrate research data silos in various<br>
institutes into Fraunhofer Data Space. In this work we present the concept, early outcomes, and a FAIRness<br>
assessment of the research data repository approach. In our assessment we used the FAIR metrics, and as a<br>
result developed a set of recommendations. These recommendations will be utilized to establish a digital<br>
research data infrastructure as well as a research data reuse culture in Fraunhofer. They can be also useful for<br>
other large scale institutions with heterogeneous research communities.</p>
https://doi.org/10.5281/zenodo.1441011
oai:zenodo.org:1441011
eng
Zenodo
https://zenodo.org/communities/ro
https://doi.org/10.5281/zenodo.1410051
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
RO2018, Workshop on Research Objects (RO2018) Workshop at IEEE eScience 2018, Amsterdam, Netherlands, 29 October 2018
Research Data Infrastructure
Data reuse
Fraunhofer Data Space;
FAIR evaluation
Research Data in the Fraunhofer Digital Project : Creating a FAIR Research Data Infrastructure and Culture
info:eu-repo/semantics/conferencePaper