信息资源管理学报 ›› 2021, Vol. 11 ›› Issue (2): 69-77.doi: 10.13365/j.jirm.2021.02.069

• 研究论文 • 上一篇    下一篇

数据生态链视角下科学数据生命周期运行过程分析

聂云贝1  刘桂锋1  刘琼2   

  1. 1.江苏大学科技信息研究所,镇江,212013; 
    2.江苏大学图书馆,镇江,212013
  • 出版日期:2021-03-26 发布日期:2021-05-21
  • 作者简介:聂云贝,硕士生,研究方向为科学数据管理;刘桂锋,硕导,研究馆员,Email:liuguifeng29@163.com,研究方向为科学数据管理;刘琼,馆员,研究方向为阅读推广与信息服务。
  • 基金资助:
    本文系国家社科基金一般项目“开放科学理念下的科研数据治理研究”(17BTQ025)的研究成果之一。

Analysis of the Running Process of Scientific Data Life Cycle from the Perspective of Data Ecology Chain

Nie Yunbei1 Liu Guifeng1 Liu Qiong2   

  1. 1.Institute of Science and Technology Information, Jiangsu University, Zhenjiang,212013;
    2.Library of Jiangsu University, Zhenjiang,212013
  • Online:2021-03-26 Published:2021-05-21

摘要: 科学数据生命周期是实现科学数据开放共享和增值利用的前提,有利于解决科学数据管理问题,进一步提升科学数据的实用价值。本文通过网络调查法和案例研究,从理论和案例视角对国内外科学数据生命周期过程进行分析,在此基础上,通过文献调研,明确各阶段任务对象,构建了任务对象明确、任务划分清晰的科学数据生命周期一般过程,主要包括数据产生与获取、数据描述与组织、数据处理与分析、数据保存与存储、数据出版与共享五个阶段。同时从数据生态链的视角,根据任务对象类型,进一步细化科学数据生命周期运行过程,以期为我国科学数据理论研究和实践探索奠定理论基础。

关键词: 科学数据, 数据管理, 数据生命周期, 数据生态链

Abstract: The life cycle of scientific data is the premise to realize the open sharing and value-added utilization of scientific data, which is conducive to solving the problems of scientific data management and further enhancing the practical value of scientific data. In this paper, through the network investigation and case study, from the perspective of theory and case analysis of scientific data lifecycle process at home and abroad, on this basis, through literature research, specific tasks in different stages of the object, has constructed the task object, task partition general process of clear scientific data life cycle, mainly including data generation and acquisition, data description and organization, data processing and analysis, data preservation and storage, data published and Shared five stages. From the perspective of data ecology chain and according to task object types, the life cycle operation process of scientific data is further refined in order to lay a theoretical foundation for theoretical research and practical exploration of scientific data in China.

Key words: Scientific data, Data management, Data science, Stakeholders, Data ecological chain

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