The Fourth Paradigm: Data-Intensive Scientific Discovery

Description:

This book presents the first broad look at the rapidly emerging field of data-intensive science, with the goal of influencing the worldwide scientific and computing research communities and inspiring the next generation of scientists. Increasingly, scientific breakthroughs will be powered by advanced computing capabilities that help researchers manipulate and explore massive datasets. The speed at which any given scientific discipline advances will depend on how well its researchers collaborate with one another, and with technologists, in areas of eScience such as databases, workflow management, visualization, and cloud-computing technologies. This collection of essays expands on the vision of pioneering computer scientist Jim Gray for a new, fourth paradigm of discovery based on data-intensive science and offers insights into how it can be fully realized.

Creator(s):
Creation Date: October 2009
Partner(s):
UNT Libraries
Collection(s):
General Collection
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Total Uses: 230
Past 30 days: 3
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Publisher Info:
Publisher Name: Microsoft Research
Publisher Info: Web: http://research.microsoft.com/
Place of Publication: Redmond, Washington
Date(s):
  • Creation: October 2009
Description:

This book presents the first broad look at the rapidly emerging field of data-intensive science, with the goal of influencing the worldwide scientific and computing research communities and inspiring the next generation of scientists. Increasingly, scientific breakthroughs will be powered by advanced computing capabilities that help researchers manipulate and explore massive datasets. The speed at which any given scientific discipline advances will depend on how well its researchers collaborate with one another, and with technologists, in areas of eScience such as databases, workflow management, visualization, and cloud-computing technologies. This collection of essays expands on the vision of pioneering computer scientist Jim Gray for a new, fourth paradigm of discovery based on data-intensive science and offers insights into how it can be fully realized.

Language(s):
Subject(s):
Keyword(s): earth | environment | ecological science | healthcare | neurobiology | scientific infrastructure | scientific discovery | digitally enhanced science | data-intensive science | data-centric science | Scholarly Communication | web 2.0 | computing
Partner:
UNT Libraries
Collection:
General Collection
Identifier:
  • ISBN: 978-0-9825442-0-4
  • ARK: ark:/67531/metadc31516
Resource Type: Text
Format: Text
Rights:
Access: Public
Holder: Microsoft Corporation
Statement: Except where otherwise noted in this publication is licensed under the Creative Commons Attribution Share alike 3.0 United states license, available at: http://creativecommons.org/licenses/by-nc-sa/3.0/