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

The 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 communi...

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Autor principal: Jung, Christopher [Hrsg.]Meyer, Jörg [Hrsg.]Streit, Achim [Hrsg.]
Format: Online
Idioma:anglès
Publicat: KIT Scientific Publishing 2021
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Accés en línia:35044
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author Jung, Christopher [Hrsg.]Meyer, Jörg [Hrsg.]Streit, Achim [Hrsg.]
author_browse Jung, Christopher [Hrsg.]Meyer, Jörg [Hrsg.]Streit, Achim [Hrsg.]
author_facet Jung, Christopher [Hrsg.]Meyer, Jörg [Hrsg.]Streit, Achim [Hrsg.]
author_sort Jung, Christopher [Hrsg.]Meyer, Jörg [Hrsg.]Streit, Achim [Hrsg.]
collection Directory of Open Access Books
description The 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.
format Online
id doab-20.500.12854ir-49195
institution Directory of Open Access Books
language eng
publishDate 2021
publishDateRange 2021
publishDateSort 2021
publisher KIT Scientific Publishing
publisherStr KIT Scientific Publishing
record_format ojs
spelling doab-20.500.12854ir-491952023-12-20T18:40:43Z Helmholtz Portfolio Theme Large-Scale Data Management and Analysis (LSDMA) Jung, Christopher [Hrsg.]Meyer, Jörg [Hrsg.]Streit, Achim [Hrsg.] QA75.5-76.95 Data Science Datenlebenszyklus Datenmanagement data management data analysis data science Big Data Datenanalyse data life cycle bic Book Industry Communication::U Computing & information technology::UY Computer science The 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. 2021-02-11T15:11:37Z 2021-02-11T15:11:37Z 2019-07-30 20:02:00 2017 book 35044 9783731506959 https://directory.doabooks.org/handle/20.500.12854/49195 eng image/jpeg Attribution-ShareAlike 4.0 International https://www.ksp.kit.edu/9783731506959 KIT Scientific Publishing 10.5445/KSP/1000071931 10.5445/KSP/1000071931 68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2 9783731506959 V, 259 p. open access
spellingShingle QA75.5-76.95
Data Science
Datenlebenszyklus
Datenmanagement
data management
data analysis
data science
Big Data
Datenanalyse
data life cycle
bic Book Industry Communication::U Computing & information technology::UY Computer science
Jung, Christopher [Hrsg.]Meyer, Jörg [Hrsg.]Streit, Achim [Hrsg.]
Helmholtz Portfolio Theme Large-Scale Data Management and Analysis (LSDMA)
title Helmholtz Portfolio Theme Large-Scale Data Management and Analysis (LSDMA)
title_full Helmholtz Portfolio Theme Large-Scale Data Management and Analysis (LSDMA)
title_fullStr Helmholtz Portfolio Theme Large-Scale Data Management and Analysis (LSDMA)
title_full_unstemmed Helmholtz Portfolio Theme Large-Scale Data Management and Analysis (LSDMA)
title_short Helmholtz Portfolio Theme Large-Scale Data Management and Analysis (LSDMA)
title_sort helmholtz portfolio theme large scale data management and analysis lsdma
topic QA75.5-76.95
Data Science
Datenlebenszyklus
Datenmanagement
data management
data analysis
data science
Big Data
Datenanalyse
data life cycle
bic Book Industry Communication::U Computing & information technology::UY Computer science
topic_facet QA75.5-76.95
Data Science
Datenlebenszyklus
Datenmanagement
data management
data analysis
data science
Big Data
Datenanalyse
data life cycle
bic Book Industry Communication::U Computing & information technology::UY Computer science
url 35044
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