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000944865 019__ $$a1202472808$$a1203976134$$a1206409263
000944865 020__ $$a9783030510237$$q(electronic book)
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000944865 0247_ $$a10.1007/978-3-030-51023-7$$2doi
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000944865 049__ $$aISEA
000944865 050_4 $$aQA75.5-76.95
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000944865 24500 $$aData science framework :$$ba view from the Edison project.
000944865 260__ $$a[S.l.] :$$bSPRINGER,$$c2020.
000944865 300__ $$a1 online resource
000944865 336__ $$atext$$btxt$$2rdacontent
000944865 337__ $$acomputer$$bc$$2rdamedia
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000944865 506__ $$aAccess limited to authorized users.
000944865 520__ $$aThis edited book first consolidates the results of the EU-funded EDISON project (Education for Data Intensive Science to Open New science frontiers), which developed training material and information to assist educators, trainers, employers, and research infrastructure managers in identifying, recruiting and inspiring the data science professionals of the future. It then deepens the presentation of the information and knowledge gained to allow for easier assimilation by the reader. The contributed chapters are presented in sequence, each chapter picking up from the end point of the previous one. After the initial book and project overview, the chapters present the relevant data science competencies and body of knowledge, the model curriculum required to teach the required foundations, profiles of professionals in this domain, and use cases and applications. The text is supported with appendices on related process models. The book can be used to develop new courses in data science, evaluate existing modules and courses, draft job descriptions, and plan and design efficient data-intensive research teams across scientific disciplines.
000944865 650_0 $$aData structures (Computer science)
000944865 650_0 $$aComputers.
000944865 650_0 $$aEngineering$$xData processing.
000944865 650_0 $$aStatistics.
000944865 77608 $$iPrint version: $$z3030510220$$z9783030510220$$w(OCoLC)1155317086
000944865 852__ $$bebk
000944865 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-030-51023-7$$zOnline Access$$91397441.1
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000944865 980__ $$aBIB
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