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A Common Reference Model for Environmental Science Research Infrastructures

dc.contributor.authorChen, Yin
dc.contributor.authorMartin, Paul
dc.contributor.authorMagagna, Barbara
dc.contributor.authorSchentz, Herbert
dc.contributor.authorZhao, Zhiming
dc.contributor.authorHardisty, Alex
dc.contributor.authorPreece, Alun
dc.contributor.authorAtkinson, Malcolm
dc.contributor.authorHuber, Robert
dc.contributor.authorLegré, Yannick
dc.contributor.editorPage, Bernd
dc.contributor.editorFleischer, Andreas G.
dc.contributor.editorGöbel, Johannes
dc.contributor.editorWohlgemuth, Volker
dc.date.accessioned2019-09-16T03:13:36Z
dc.date.available2019-09-16T03:13:36Z
dc.date.issued2013
dc.description.abstractIndependent 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 .de
dc.description.urihttp://enviroinfo.eu/sites/default/files/pdfs/vol7995/0665.pdfde
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/25909
dc.publisherShaker Verlag
dc.relation.ispartofProceedings of the 27th Conference on Environmental Informatics - Informatics for Environmental Protection, Sustainable Development and Risk Management
dc.relation.ispartofseriesEnviroInfo
dc.titleA Common Reference Model for Environmental Science Research Infrastructuresde
dc.typeText/Conference Paper
gi.citation.publisherPlaceAachen
gi.conference.date2013
gi.conference.locationHamburg
gi.conference.sessiontitleOpen Government Data, Linked Open Data, and eGovernment

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