Auflistung nach Autor:in "Huber, Robert"
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- KonferenzbeitragA Common Reference Model for Environmental Science Research Infrastructures(Proceedings of the 27th Conference on Environmental Informatics - Informatics for Environmental Protection, Sustainable Development and Risk Management, 2013) Chen, Yin; Martin, Paul; Magagna, Barbara; Schentz, Herbert; Zhao, Zhiming; Hardisty, Alex; Preece, Alun; Atkinson, Malcolm; Huber, Robert; Legré, YannickIndependent development of research infrastructures leads to unnecessary replication of technologies and solutions whilst the lack of standard definitions makes it difficult to relate experiences in one infrastructure with those of ot hers. The ENVRI Reference Model, www.envri.eu/rm, uses the Open Distributed Processing standard framework in order to model the "archetypical" environmental research infrastructure. The use of the ENVRI -RM to illustrate common characteristics of European ESFRI environmental infrastructures from a number of different perspectives provides a common language for and understanding of environmental research infrastructures, promote technology and solution sharing between infrastructures, and improve interoperability between implemented services .
- KonferenzbeitragTowards an integrated biodiversity and ecological research data management and archiving platform: the German federation for the curation of biological data (GFBio)(Informatik 2014, 2014) Diepenbroek, Michael; Glöckner, Frank Oliver; Grobe, Peter; Güntsch, Anton; Huber, Robert; König-Ries, Birgitta; Kostadinov, Ivaylo; Nieschulze, Jens; Seeger, Bernhard; Tolksdorf, Robert; Triebel, DagmarBiodiversity research brings together the many facets of biological environmental research. Its data management is characterized by integration and is particularly challenging due to the large volume and tremendous heterogeneity of the data. At the same time, it is particularly important: A lot of the data is not reproducible. Once it is gone, potential knowledge that could have been gained from it is irrevocably lost. In this paper, we describe challenges to biodiversity data management along the data life cycle and sketch the solution that is currently being developed within the GFBio project, a collaborative effort of nineteen German research institutions ranging from museums and archives to biodiversity researchers and computer scientists.