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Helmholtz Portfolio Theme Large-Scale Data Management and Analysis (LSDMA)

dc.contributor.authorJung, Christopher [Hrsg.]Meyer, Jörg [Hrsg.]Streit, Achim [Hrsg.]*
dc.date.accessioned2021-02-11T15:11:37Z
dc.date.available2021-02-11T15:11:37Z
dc.date.issued2017*
dc.date.submitted2019-07-30 20:02:00*
dc.identifier35044*
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/49195
dc.description.abstractThe Helmholtz Association funded the ""Large-Scale Data Management and Analysis"" portfolio theme from 2012-2016. Four Helmholtz centres, six universities and another research institution in Germany joined to enable data-intensive science by optimising data life cycles in selected scientific communities. In our Data Life cycle Labs, data experts performed joint R&D together with scientific communities. The Data Services Integration Team focused on generic solutions applied by several communities.*
dc.languageEnglish*
dc.subjectQA75.5-76.95*
dc.subject.classificationbic Book Industry Communication::U Computing & information technology::UY Computer scienceen_US
dc.subject.otherData Science*
dc.subject.otherDatenlebenszyklus*
dc.subject.otherDatenmanagement*
dc.subject.otherdata management*
dc.subject.otherdata analysis*
dc.subject.otherdata science*
dc.subject.otherBig Data*
dc.subject.otherDatenanalyse*
dc.subject.otherdata life cycle*
dc.titleHelmholtz Portfolio Theme Large-Scale Data Management and Analysis (LSDMA)*
dc.typebook
oapen.identifier.doi10.5445/KSP/1000071931*
oapen.relation.isPublishedBy68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2*
oapen.relation.isbn9783731506959*
oapen.pagesV, 259 p.*
peerreview.review.typeFull text
peerreview.anonymitySingle-anonymised
peerreview.reviewer.typeInternal editor
peerreview.reviewer.typeExternal peer reviewer
peerreview.review.stagePre-publication
peerreview.open.reviewNo
peerreview.publish.responsibilityPublisher
peerreview.idf78c7c29-87b3-4734-a21a-92f70e5999fa
peerreview.titleTechnical Books (Fachbuch)


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