Skip to main content

The Fourth Paradigm – Data-Intensive Scientific Discovery

  • Conference paper

Part of the Communications in Computer and Information Science book series (CCIS,volume 317)

Abstract

This presentation will set out the eScience agenda by explaining the current scientific data deluge and the case for a “Fourth Paradigm” for scientific exploration. Examples of data intensive science will be used to illustrate the explosion of data and the associated new challenges for data capture, curation, analysis, and sharing. The role of cloud computing, collaboration services, and research repositories will be discussed.

This is a preview of subscription content, access via your institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • DOI: 10.1007/978-3-642-33299-9_1
  • Chapter length: 1 pages
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
eBook
USD   69.99
Price excludes VAT (USA)
  • ISBN: 978-3-642-33299-9
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book
USD   89.99
Price excludes VAT (USA)

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and Permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Hey, T. (2012). The Fourth Paradigm – Data-Intensive Scientific Discovery. In: Kurbanoğlu, S., Al, U., Erdoğan, P.L., Tonta, Y., Uçak, N. (eds) E-Science and Information Management. IMCW 2012. Communications in Computer and Information Science, vol 317. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33299-9_1

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-33299-9_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33298-2

  • Online ISBN: 978-3-642-33299-9

  • eBook Packages: Computer ScienceComputer Science (R0)