数据密集型科研环境下的科研数据管理框架研究  

Study of Research Data Management Model Under the Data-Intensive Scientific Environment

作　　者：彭鑫[1] 邓仲华[1] PENG Xin;DENG ZhongHua(School of Information Management, Wuhan University, Wuhan 430072, China)

机构地区：[1]武汉大学信息管理学院,武汉430072

出　　处：《数字图书馆论坛》2017年第7期61-67,共7页Digital Library Forum

基　　金：国家自然科学基金项目"大数据环境下面向科学研究第四范式的信息资源云研究"(编号:71373191)资助

摘　　要：随着科学研究第四范式概念的不断深入,科学研究越来越依赖于从大量科研数据中发现新的知识和科学规律,科研数据的管理成为科学研究第四范式发展面临的首要问题。通过文献调研,梳理数据密集型科研环境下科研数据的特征,分析科研用户对科研数据管理的具体需求,并梳理科研数据管理各阶段的具体任务,基于此提出科研数据管理框架。结合国内外实践现状,对科研数据管理框架的发展提出建议,为科研数据管理平台或工具的开发提供借鉴和参考,对解决数据密集型科研环境下缺乏数据管理工具的困境具有一定意义。With the concept of the fourth paradigm of science deepen,discovery of new knowledge and science laws rely more and more on data-intensive scientific discovery,and research data management becomes the primary issue.Through literature research,we concluded the features of research data under the data-intensive environment,analyzed the requirements of research data management,and concluded the tasks of data management during different period.Based on those we came up with a data management model and gave some suggestions on its development based on the practices experiences at home and abroad,which will help with the lacking of data management tools,and have reference meanings for the development of data management tools.

关 键 词：数据密集型科研环境 第四范式 科研数据管理 

分 类 号：G203[文化科学—传播学]