图书情报工作 ›› 2020, Vol. 64 ›› Issue (22): 4-10.DOI: 10.13266/j.issn.0252-3116.2020.22.001

• 专题:科学数据开放共享中的数据治理研究 • 上一篇    下一篇

数据管理与数据治理的比较分析及其对制定科学数据开放共享政策的启示

盛小平, 宋大成   

  1. 上海大学图书情报档案系 上海 200444
  • 收稿日期:2020-06-09 修回日期:2020-07-21 出版日期:2020-11-20 发布日期:2020-11-20
  • 作者简介:盛小平(ORCID:0000-0002-6341-6973),教授,博士,博士生导师,E-mail:shengxp68@126.com;宋大成(ORCID:0000-0003-3367-6915),硕士研究生。
  • 基金资助:
    本文系国家社会科学基金项目"开放科学环境下的科学数据开放共享机制与对策研究"(项目编号:18ATQ007)研究成果之一。

A Comparative Analysis of Data Management and Data Governance and Its Enlightenment to the Formulation of Open Sharing Policies of Scientific Data

Sheng Xiaoping, Song Dacheng   

  1. School of Library, Information and Archives, Shanghai University, Shanghai 200444
  • Received:2020-06-09 Revised:2020-07-21 Online:2020-11-20 Published:2020-11-20

摘要: [目的/意义] 比较分析数据管理与数据治理差异与联系,为制定科学数据开放共享政策提供参考。[方法/过程] 运用比较分析法,解析数据管理与数据治理在定义与内涵、功能、目标、原则、焦点领域5个方面的异同,由此解析其对制定我国科学数据开放共享政策的启示。[结果/结论] 数据管理与数据治理在定义与内涵、功能、目标、原则、焦点领域上都有显著差异,但两者也有内在联系。数据治理是成功实施数据管理的关键。认清两者的关系有助于明晰目前我国科学数据管理政策的不足之处,为今后完善科学数据管理办法提供参考,从而规划与制定实用的科学数据开放共享细则。

关键词: 数据管理, 数据治理, 比较分析, 科学数据, 开放共享政策

Abstract: [Purpose/significance] This paper compares and analyzes the differences and connections between data management and data governance, in order to provide references for the formulation of scientific data sharing policies.[Method/process] By using the comparative analysis method, this paper analyzed the similarities and differences between data management and data governance in five aspects:definition and meaning, functions, objectives, principles and focus areas, and then analyzed its enlightenment to the formulation of open sharing policies of scientific data in China.[Result/conclusion] There are significant differences between data management and data governance in terms of definition and meaning, functions, goals, principles and focus areas, but they are also intrinsically related. Data governance is the key to the successful implementation of data management. Understanding the relationship between them is helpful to clarify the deficiencies of current scientific data management policies in China, provide references for improving scientific data management methods in the future, and plan and formulate practical rules for the open sharing of scientific data.

Key words: data management, data governance, comparative analysis, scientific data, open sharing policy

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