A Case for Data Commons: Toward Data Science as a Service

被引：47

作者：

Grossman, Robert L. ^{[1
,2
,3
]}

Heath, Allison ^{[4
]}

Murphy, Mark ^{[1
]}

Patterson, Maria ^{[1
]}

Wells, Walt ^{[5
]}

机构：

[1] Univ Chicago, Ctr Data Intens Sci, Chicago, IL 60637 USA

[2] Univ Chicago, Div Biol Sci, Chicago, IL 60637 USA

[3] Univ Chicago, Computat Inst, Chicago, IL 60637 USA

[4] Univ Chicago, Ctr Data Intens Sci, Res, Chicago, IL 60637 USA

[5] Ctr Computat Sci Res, New York, NY USA

来源：

COMPUTING IN SCIENCE & ENGINEERING | 2016年 / 18卷 / 05期

基金：

美国国家卫生研究院; 美国国家科学基金会;

关键词：

cloud computing; data as a service; data commons; science as a service; scientific computing; software as services;

D O I：

10.1109/MCSE.2016.92

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Data commons collocate data, storage, and computing infrastructure with core services and commonly used tools and applications for managing, analyzing, and sharing data to create an interoperable resource for the research community. An architecture for data commons is described, as well as some lessons learned from operating several large-scale data commons.

引用

页码：10 / 20

页数：11

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