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Challenges in Data Intensive Analysis at Scientific Experimental User Facilities · Study

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ChapterChallenges in Data Intensive Analysis at Scientific Experimental User Facilities

Kerstin Kleese van Dam2011

Chapter2011

Challenges in Data Intensive Analysis at Scientific Experimental User Facilities

Kerstin Kleese van Dam · Dongsheng Li · Mark L. Green · Catherine L. Ruby

6 citations·0/0 files stored·Springer eBooks

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Scientific Computing and Data Management Research Data Management Practices Distributed and Parallel Computing Systems

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References

1963The Structure of Scientific Revolutions 1987Science in action : how to follow scientists and engineers through society 2008Multi-University Research Teams: Shifting Impact, Geography, and Stratification in Science 1962The Structure of Scientific Revolutions. Chicago (University of Chicago Press) 1962.2009The impact of workflow tools on data-centric research 1991Specialization and size of scientific activities: A bibliometric analysis of advanced countries 2009Organizing for innovation: towards successful translational research 2008Modeling Rhetoric in Scientific Publications

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2017Big Data Challenges and Hazards Modeling 2012Velo and REXAN — Integrated data management and high speed analysis for experimental facilities

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Year2011

Typechapter

Published2011-01-01

VenueSpringer eBooks

Languageen

Citations6

Files0 public / 0

ShelfScientific Computing and Data Management

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doi10.1007/978-1-4614-1415-5_10

openalex_workW2132853224

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