A platform for research: civil engineering, architecture and urbanism
Using DSpace at Fraunhofer – Building up the Fraunhofer Open Science Cloud: Presented at the Open Repositories 2019 conference, June 11th, 2019, Hamburg
Since 2016, Fraunhofer, Europe’s largest organization for applied research, is facing the challenge of implementing and migrating three repository systems: A new current research information system (CRIS), a new open data repository and the complete renovation of the longstanding bibliographic database »Fraunhofer-Publica«, along with its younger sibling, the open access repository »Fraunhofer-ePrints«. The goal is to implement a unique repository landscape as a key enabler for Open Science. For all systems, DSpace or DSpace CRIS is being used. Reasons for selecting DSpace were the availability of a plug-in for individual CRIS functionalities, numerous out-of-the-box functionalities, the large, well-organized community and the high amount of successful installations around the globe. The software enables the systems to use entities such as people, projects and organizations jointly. In addition, standard submission workflows for all datatypes and a consistent user experience will be available. The poster will deliver a visual presentation of the three systems, their interfaces and workflows with key user groups as well as their interconnection and their software architecture. We will visualize the different progress stages: the CRIS is running, the research data repository is in user pilot phase, the relaunch-project of the bibliographic database has just started but will directly jump into the early adopter phase of DSpace CRIS version 7. The poster will present the key points of our feasibility studies of DSpace/DSpace-CRIS, and it will also show an outlook on the Fraunhofer vision to build a unique »Fraunhofer-Open Science Cloud«.
Using DSpace at Fraunhofer – Building up the Fraunhofer Open Science Cloud: Presented at the Open Repositories 2019 conference, June 11th, 2019, Hamburg
Since 2016, Fraunhofer, Europe’s largest organization for applied research, is facing the challenge of implementing and migrating three repository systems: A new current research information system (CRIS), a new open data repository and the complete renovation of the longstanding bibliographic database »Fraunhofer-Publica«, along with its younger sibling, the open access repository »Fraunhofer-ePrints«. The goal is to implement a unique repository landscape as a key enabler for Open Science. For all systems, DSpace or DSpace CRIS is being used. Reasons for selecting DSpace were the availability of a plug-in for individual CRIS functionalities, numerous out-of-the-box functionalities, the large, well-organized community and the high amount of successful installations around the globe. The software enables the systems to use entities such as people, projects and organizations jointly. In addition, standard submission workflows for all datatypes and a consistent user experience will be available. The poster will deliver a visual presentation of the three systems, their interfaces and workflows with key user groups as well as their interconnection and their software architecture. We will visualize the different progress stages: the CRIS is running, the research data repository is in user pilot phase, the relaunch-project of the bibliographic database has just started but will directly jump into the early adopter phase of DSpace CRIS version 7. The poster will present the key points of our feasibility studies of DSpace/DSpace-CRIS, and it will also show an outlook on the Fraunhofer vision to build a unique »Fraunhofer-Open Science Cloud«.
Using DSpace at Fraunhofer – Building up the Fraunhofer Open Science Cloud: Presented at the Open Repositories 2019 conference, June 11th, 2019, Hamburg
Wuchner, Andrea (author) / Eisengräber-Pabst, Dirk (author) / Erndt, Michael (author)
2019
Miscellaneous
Electronic Resource
Unknown
Using DSpace at Fraunhofer - Building a Fraunhofer Open Science Cloud
DataCite | 2019
|DSpace / DSpace-CRIS at Fraunhofer
DataCite | 2019
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