数据密集型科研环境下的科研数据管理框架研究

发布时间：2018-05-30 19:02

本文选题：数据密集型科研环境 + 第四范式　；参考：《数字图书馆论坛》2017年07期

【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。
[Abstract]:With the deepening of the concept of the fourth paradigm of scientific research, scientific research is more and more dependent on discovering new knowledge and scientific laws from a large number of scientific research data. The management of scientific research data has become the most important issue in the development of the fourth paradigm of scientific research. Through literature investigation, this paper combs the characteristics of scientific research data under data-intensive scientific research environment, analyzes the specific needs of scientific research users for scientific research data management, and combs the specific tasks of scientific research data management stages. Based on this, a scientific research data management framework is proposed. Combined with the domestic and international practice situation, the paper puts forward some suggestions on the development of scientific research data management framework, and provides reference and reference for the development of scientific research data management platform or tools. It is significant to solve the problem of data management tools in data intensive scientific research environment.
【作者单位】：武汉大学信息管理学院;
【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
【分类号】：G203

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