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000187614 037__ $$aFZJ-2015-01242
000187614 041__ $$aEnglish
000187614 1001_ $$0P:(DE-Juel1)132239$$aRiedel, Morris$$b0$$eCorresponding Author$$ufzj
000187614 1112_ $$aHPC PROSPECT MEETING$$cJuelich$$wGermany
000187614 245__ $$aBig Data in Science - Overview of European & International Activities$$f2014-10-10
000187614 260__ $$c2014
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000187614 520__ $$a'Big Data' is a term that is often associated with commercial use cases related to customer segmentation, recommendation systems, or the analysis of shopping data. Nevertheless, large quantities of datasets can be also found in scientific environments and a wide variety of activities have been found to engage in getting insights from 'big data'. This talk provides an overview about European and international activities covering the European Data Infrastructure EUDAT, the international Research Data Alliance (RDA), and the German Smart Data Innovation Lab (SDIL).
000187614 536__ $$0G:(DE-HGF)POF2-412$$a412 - Grid Technologies and Infrastructures (POF2-412)$$cPOF2-412$$fPOF II$$x0
000187614 773__ $$y2014
000187614 8564_ $$uhttp://morrisriedel.de/sites/default/files/share/2014-10-10-PROSPECT-Riedel-Small-v1.pdf
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000187614 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)132239$$aForschungszentrum Jülich GmbH$$b0$$kFZJ
000187614 9132_ $$0G:(DE-HGF)POF3-512$$1G:(DE-HGF)POF3-510$$2G:(DE-HGF)POF3-500$$aDE-HGF$$bKey Technologies$$lSupercomputing & Big Data $$vData-Intensive Science and Federated Computing$$x0
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000187614 9141_ $$y2014
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