农业图书情报学刊 ›› 2016, Vol. 28 ›› Issue (4): 21-24.doi: 10.13998/j.cnki.issn1002-1248.2016.04.004

• 资源建设 • 上一篇    下一篇

基于云存储的高校学科数据知识库研究

向林芳   

  1. 华南理工大学图书馆,广东 广州 510640
  • 收稿日期:2015-11-16 出版日期:2016-04-05 发布日期:2016-04-05
  • 作者简介:向林芳(1979-), 女,副研究馆员,硕士,研究方向:数字资源研究与评估。

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)

摘要: 从目前高校科学数据管理面临的数据总量巨大、保存分散和数据收集困难等问题出发,阐述建立基于云存储的高校学科数据知识库的优势,不仅可以以较低的成本解决科学数据长期保存、海量存储、数据共享和数据收集的难题,而且可以解决科学数据的元数据统一问题,在全国范围内实现科学数据的管理和共享,并从基础设施服务、平台服务和应用服务3个层面尝试构建学科数据知识库的云存储模型。

关键词: 科学数据, 云存储, 学科知识库, 数据共享

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

中图分类号: 

  • G253

引用本文

向林芳. 基于云存储的高校学科数据知识库研究[J]. 农业图书情报学刊, 2016, 28(4): 21-24.

XIANG Lin-fang. Research on University Subject Data Repository Based on Cloud Storage[J]. , 2016, 28(4): 21-24.