文章摘要
于倩倩,贾茹,黄金霞.不同科研场景对数字信息资源的依赖性分析[J].数字图书馆论坛,2014,(5):14~19
不同科研场景对数字信息资源的依赖性分析
Analysis of Different Research Scene Dependence on Digital Information Resources
  
DOI:
中文关键词: 学术交流;e-Science;基础设施;数据密集型科研;第四范式
英文关键词: Academic exchange;E-Science;Infrastructure;Data-intensive Science
基金项目:
作者单位
于倩倩 中国科学院文献情报中心 
贾茹 中国科学院文献情报中心 
黄金霞 中国科学院文献情报中心 
摘要点击次数: 2036
全文下载次数: 1369
中文摘要:
      文章分析了新型学术交流模式、e-Science、数据密集型科研等不同科研场景对数字信息资源的依赖,并提出应对策略。新型学术交流模式主要依赖于数字资源的开放关联、组织描述、深度开放以及免费共享;e-Science主要依赖于数字资源的元数据描述、内容存储关联等多种服务,并且资源依赖具有学科特征;数据密集型科研主要依赖于海量科学数据资源以及多类型软件工具类资源等。针对学术交流模式的变革提出信息资源的多样化建设尤其是开放科学数据的建设,并嵌入到学术交流过程中;针对e-Science的发展,提出把开放信息资源建设嵌入到科研环境中,关注不同学科对信息资源的需求特点;针对数据密集型科研,提出加强工具类资源的建设,提供与数据相关的更多服务等。
英文摘要:
      This paper analyzes the dependence of new academic exchange pat ern, e-Science, and Data-intensive Science on digital information resources, and puts forward relevant strategies to handle these new situations. New academic exchange pat ern depends on the semantic link, metadata description, fine-grained open, free sharing of digital resources. E-Science depends on metadata description, content storage, links and analysis services and so on. Data-intensive Science depends on massive scientific data, kinds of tools resources and so on. In view of the academic exchanges, we propose to construct diversity information resources especial y on open scientific data. To e-Science, we propose to embed open resources into scientific research environment and focus on the different needs of different disciplines. To Data-intensive Science, we propose to enhance the construction of tools resources, and provide more data related services and so on.
查看全文   查看/发表评论  下载PDF阅读器
关闭

分享按钮