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Journal of library and information science in agriculture ›› 2016, Vol. 28 ›› Issue (4): 21-24.doi: 10.13998/j.cnki.issn1002-1248.2016.04.004

• Resources construction • Previous Articles     Next Articles

Research on University Subject Data Repository Based on Cloud Storage

XIANG Lin-fang   

  1. Library of South China University of Technology, Guangzhou Guangdong 510640, China
  • Received:2015-11-16 Online:2016-04-05 Published:2016-04-05
  • Supported by:
    华南理工大学中央高校基本科研业务费资助项目“高校图书馆数据监护服务研究”(项目编号:GM08); 2014年广东省图书馆科研课题“高校科学数据云存储服务研究”(项目编号:GDTK1423)

Abstract: The scientific data management in universities has faced with the problems such as mass data, distributed storage and difficult data collection. This paper described the advantages of university subject data repository based on cloud storage, which could not only solve the problems such as long-term preservation of scientific data, mass storage, data sharing and data collection at a lower cost, but establish a unified metadata specification of scientific data and realize the scientific data management and sharing across the country. In the end, it built the cloud storage model of subject data repository from three levels, including infrastructure service, platform service and application service.

Key words: Scientific data

CLC Number: 

  • G253
[1] 王学勤,Amy Stout, Howard Silver.建立数据驱动的e-Science图书馆服务:机遇和挑战[J].图书情报工作,2011,(13):80-83.
[2] 刘霞,饶艳.高校图书馆科学数据管理与服务初探——武汉大学图书馆案例分析[J].图书情报工作,2013,(6):33-38.
[3] 谢春枝,燕今伟.国内外高校科学数据管理和机制建设研究[J].图书情报工作,2013,(6):12-17.
[4] 谢志昆,黄天慧,孙宙红.云存储服务在高校教学中的应用[J].软件导刊(教育技术),2013,(4):79-81.
[5] 郭效.高校图书馆联盟建设与发展研究[J].现代情报,2010,(2):18-20.
[6] 魏星德.数字图书馆资源的云存储模型研究[D].上海:上海海洋大学,2012.
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