The Fourth Paradigm - Data-Intensive Scientific Discovery

被引：0
|
作者：
Hey, Tony
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来源：
E-SCIENCE AND INFORMATION MANAGEMENT | 2012年 / 317卷
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中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
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页码：1 / 1
页数：1
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