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e-Science

  • Reference work entry
  • First Online:
Encyclopedia of Social Network Analysis and Mining

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Synonyms

Cyberinfrastructure; e-Research

Glossary

HPC:

High Performance Computing

Workflow:

A multistep process to coordinate multiple tasks

Definition

e-Science is a computationally intensive or data-intensive research typically carried out collaboratively over distributed infrastructures. While much science today is conducted online, new digital methods for using the latest infrastructural capabilities and opportunities are always under development, and e-Science describes this continuous technological and methodological innovation.

The term was originally adopted in a major UK funding program predicated on data-intensive science (Hey and Trefethen 2003), paralleling a related US investment in cyberinfrastructure (Daniel et al. 2003). The e-Science program also embraced research in the social sciences, arts, and humanities, and the term e-Research is sometimes preferred for this broader disciplinary perspective. e-Science programs have occurred in many countries, and several...

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References

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Recommended Reading

  • Taylor IJ, Deelman E, Gannon DB (2006) Workflows for e-science: scientific workflows for grids. Springer, London

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  • The Fourth Paradigm: Data-intensive scientific discovery. In: Hey T, Tansley S, Tolle K (eds) Microsoft research. 252 p

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Acknowledgments

The myExperiment site and the notion of Research Objects were developed in projects involving the Universities of Manchester, Southampton, and Oxford, UK, led by Carole Goble, Sean Bechhofer, and Iain Buchan at University of Manchester in collaboration with the author. The UK e-Social Science program was funded by the Economic and Social Research Council. We acknowledge the many contributions of our teams, partners, and collaborating researchers.

Author information

Authors and Affiliations

  1. Oxford e-Research Centre, University of Oxford, Oxford, UK

    David DeRoure

Authors
  1. David DeRoure
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Corresponding author

Correspondence to David DeRoure .

Editor information

Editors and Affiliations

  1. Department of Computer Science, University of Calgary, Calgary, AB, Canada

    Reda Alhajj

  2. Department of Computer Science, University of Calgary, Calgary, AB, Canada

    Jon Rokne

Section Editor information

  1. Institute for Web Science and Technologies, Universität Koblenz-Landau, Koblenz, Germany

    Thomas Gottron

  2. YU, Amsterdam, The Netherlands

    Stefan Schlobach

  3. Institute for Web Science and Technologies, Universität Koblenz-Landau, Koblenz, Germany

    Steffen Staab

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DeRoure, D. (2018). e-Science. In: Alhajj, R., Rokne, J. (eds) Encyclopedia of Social Network Analysis and Mining. Springer, New York, NY. https://doi.org/10.1007/978-1-4939-7131-2_109

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