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A Case for Data Commons: Toward Data Science as a Service
Computing in Science & Engineering ( IF 2.1 ) Pub Date : 2016-09-01 , DOI: 10.1109/mcse.2016.92
Robert L Grossman 1 , Allison Heath 1 , Mark Murphy 1 , Maria Patterson 1 , Walt Wells 2
Affiliation  

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.

中文翻译:

数据共享案例:迈向数据科学即服务

数据共享将数据、存储和计算基础设施与核心服务和常用工具和应用程序搭配在一起,用于管理、分析和共享数据,为研究社区创建可互操作的资源。描述了数据共享的架构,以及从操作几个大规模数据共享中学到的一些经验教训。
更新日期:2016-09-01
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