Scientific data cloud construction and service of Chinese Academy of Sciences

Jianhui LI; Yuanchun ZHOU; Lianglin HU; Feng LIU; Yanhua ZHU; Zhihong SHEN; Zhangsheng WU; Yang ZHANG

doi:10.11959/j.issn.2096-0271.2016061

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Scientific data cloud construction and service of Chinese Academy of Sciences

TOPIC:SCIENTIFIC DATA AND APPLICATION INNOVATION | 更新时间：2024-06-03

- Scientific data cloud construction and service of Chinese Academy of Sciences
- Big data research Vol. 2, Issue 6, Pages: 2016061(2016)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.2096-0271.2016061
  CLC： N37
- Online First：2016-11，
  
  Published：20 November 2016
- 稿件说明：
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Jianhui LI, Yuanchun ZHOU, Lianglin HU, et al. Scientific data cloud construction and service of Chinese Academy of Sciences[J]. Big data research, 2016, 2(6): 2016061.
DOI：

Jianhui LI, Yuanchun ZHOU, Lianglin HU, et al. Scientific data cloud construction and service of Chinese Academy of Sciences[J]. Big data research, 2016, 2(6): 2016061. DOI： 10.11959/j.issn.2096-0271.2016061.

摘要

科技数据资源整合与共享工程是中国科学院“十二五”五大信息化工程之一。总结了该项目的整体建设思想、建设情况、技术创新和服务创新等内容。截至项目结束，数据工程建成了存储容量达52 PB的分布式海量存储环境；整合可共享科学数据总量近655 TB，累计访问人次9 629万次，累计下载量456 TB；同时为用户提供强大的科学数据与文献互联以及丰富的可视化展示平台。工程实现了以基础设施云服务、科研数据云服务、数据应用云服务为主体的多层次、交叉式信息化服务体系，逐渐建设形成共享开放、服务创新的国家级科技数据中心。

Abstract

Scientific Data Resource Integration and Sharing Project is one of the 5 major informatization-specific projects of CAS for the 12th Five-Year Plan period.The overall construction of the project ideas

construction

technical innovation and service innovation

etc.

was summarized.By the end of the project

a distributed mass storage environment with storage capacity of 52 PB was built.At the same time

it provided users with a strong connection between scientific data and literature and a rich visual display platform.The project has initially achieved a multi-level

cross information service system that included the infrastructure cloud service

research data cloud service and data application cloud service.It has gradually become a national science and technology data center for open sharing and service innovation.

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Keywords

references

郭华东 . 大数据、大科学、大发现 [J ] . 中国科学院院刊 , 2014 , 29 ( 4 ): 500 - 506 .

GUO H D . Bigdata,big science,big discovery [J ] . Bulletin of Chinese Academy of Sciences , 2014 , 29 ( 4 ): 500 - 506 .

BARRINGTON L , GHOSH S , GREENE M , et al . Crowdsourcing earthquake damage assessment using remote sensing imagery [J ] . Annals of Geophysics , 2011 , 54 ( 6 ): 680 - 687 .

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