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Data Management in Collaborative Interdisciplinary Research Projects—Conclusions from the Digitalization of Research in Sustainable Manufacturing

1
Department for Machine Tools and Factory Management, Technische Universität Berlin, Pascalstr. 8-9, 10587 Berlin, Germany
2
Berlin School of Library and Information Science, Humboldt-Universität zu Berlin, Unter den Linden 6, D-10099 Berlin, Germany
3
Department for Virtual Product Creation, Fraunhofer-Institute for Production Systems and Design Technology, Pascalstr. 8-9, 10587 Berlin, Germany
*
Author to whom correspondence should be addressed.
Academic Editors: Constanze Curdt, Christian Willmes and Georg Bareth
ISPRS Int. J. Geo-Inf. 2016, 5(4), 41; https://doi.org/10.3390/ijgi5040041
Received: 29 January 2016 / Revised: 10 March 2016 / Accepted: 16 March 2016 / Published: 23 March 2016
(This article belongs to the Special Issue Research Data Management)
As research topics become increasingly complex, large scale interdisciplinary research projects are commonly established to foster cross-disciplinary cooperation and to utilize potential synergies. In the case of the Collaborative Research Center (CRC) 1026, 19 individual projects from different disciplines are brought together to investigate perspectives and solutions for sustainable manufacturing. Beside overheads regarding the coordination of activities and communication, such interdisciplinary projects are also facing challengs regarding data management. For exchange and combination of research results, data from individual projects have to be stored systematically, categorized, and linked according to the logical interrelations of the involved disciplinary knowledge domains. In the CRC 1026, the project for information infrastructure observed and analysed collaboration practices and developed IT-supported solutions to facilitate and foster research collaboration. Data management measures in this period were mainly focused on building a shared conceptual framework, and the organization of task related data. For the former aspect, an ontology basesd apporach was developed and prototypically implemented. For the latter aspect, a message board integrated task management system was developed and applied. View Full-Text
Keywords: collaborative research; interdisciplinary research; data management; ontology; semantic matching collaborative research; interdisciplinary research; data management; ontology; semantic matching
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Wang, W.M.; Göpfert, T.; Stark, R. Data Management in Collaborative Interdisciplinary Research Projects—Conclusions from the Digitalization of Research in Sustainable Manufacturing. ISPRS Int. J. Geo-Inf. 2016, 5, 41.

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