ISPRS Int. J. Geo-Inf. 2016, 5(8), 133; https://doi.org/10.3390/ijgi5080133
The Göttingen eResearch Alliance: A Case Study of Developing and Establishing Institutional Support for Research Data Management
Jens Dierkes 1,2,†,*
and Ulrike Wuttke 1,3,4,†
and Ulrike Wuttke 1,3,4,†
1
Niedersächsische Staats- und Universitätsbibliothek Göttingen, Göttingen 37073, Germany
2
Gesellschaft für Wissenschaftliche Datenverarbeitung mbH Göttingen, Göttingen 37077, Germany
3
Union der Deutschen Akademien der Wissenschaften, Berlin 10117, Germany
4
Akademie der Wissenschaften zu Göttingen, Göttingen 37073, Germany
†
These authors contributed equally to this work.
*
Author to whom correspondence should be addressed.
Academic Editors: Constanze Curdt, Christian Willmes, Georg Bareth and Wolfgang Kainz
Received: 1 March 2016 / Revised: 28 June 2016 / Accepted: 14 July 2016 / Published: 1 August 2016
(This article belongs to the Special Issue Research Data Management)
Abstract
The Göttingen eResearch Alliance is presented as a case study for establishing institutional support for research data management within the context of the Göttingen Campus, a particular alliance of several research institutes at Göttingen. The cross-cutting, “horizontal” approach of the Göttingen eResearch Alliance, established by two research-oriented infrastructure providers, a research library and a computing and IT competence center, aims to coordinate Campus-led activities to establish sustainable and innovative services to support all phases of the research data life cycle. In this article, the core activities of the first phase aimed at developing a modular approach to provide support for research data management to researchers will be described. It closes with lessons learned and an outlook on future activities. View Full-TextKeywords:
research data management; institutional support; research libraries; computing centers; e-research
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Dierkes, J.; Wuttke, U. The Göttingen eResearch Alliance: A Case Study of Developing and Establishing Institutional Support for Research Data Management. ISPRS Int. J. Geo-Inf. 2016, 5, 133.
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