图书情报工作 ›› 2021, Vol. 65 ›› Issue (21): 38-50.DOI: 10.13266/j.issn.0252-3116.2021.21.011

• 理论研究 • 上一篇    下一篇

政策信息学的发展与前瞻

曹玲静1,2, 张志强1,2   

  1. 1. 中国科学院成都文献情报中心 成都 610041;
    2. 中国科学院大学经济与管理学院图书情报与档案管理系 北京 100190
  • 收稿日期:2021-06-25 修回日期:2021-09-08 出版日期:2021-11-05 发布日期:2021-11-19
  • 通讯作者: 张志强(ORCID:0000-0001-7323-501X),研究员,博士,博士生导师,通讯作者,E-mail:zhangzq@clas.ac.cn
  • 作者简介:曹玲静(ORCID:0000-0002-5685-7471),博士研究生。
  • 基金资助:
    本文系国家社会科学基金重点项目"面向领域知识发现的学科信息学理论与应用研究"(项目编号:17ATQ008)研究成果之一。

Development and Prospects of Policy Informatics

Cao Lingjing1,2, Zhang Zhiqiang1,2   

  1. 1. Chengdu Library and Information Center, Chinese Academy of Sciences, Chengdu 610041;
    2. Department of Library, Information and Archives Management, School of Economics and Management, University of Chinese Academy of Sciences, Beijing 100190
  • Received:2021-06-25 Revised:2021-09-08 Online:2021-11-05 Published:2021-11-19

摘要: [目的/意义] 系统梳理归纳政策信息学的理论框架和发展路径,以期为政策科学、文献计量学等相关研究夯实理论与方法基础。[方法/过程] 依托学科信息学明晰了政策信息学的发展起源和概念内涵,详细总结归纳政策信息学的研究内容和研究过程,提出围绕"理论基础-方法技术-应用实践-教育管理"4个方面相互促进发展的学科体系,从理论基础构建和知识图景描绘两个方面构建政策信息学的研究体系。[结果/结论] 政策信息学主要围绕海量多源异构数据,利用文献计量分析、社会网络分析、内容分析、文本计算及可视化等方法,开展政策变迁过程和演化规律、政策量化分析和效力评价、政策府际关系和政策博弈、政策研究和科学研究间关系研究,未来需建设专业的领域政策大数据库、开发专门的政策分析技术和工具、开展广泛且深入的案例研究并形成高质量的学术共同体。

关键词: 政策信息学, 政策量化, 政策计量, 学科交叉, 学科信息学

Abstract: [Purpose/significance] The theoretical framework and development path of policy informatics are systematically combed and summarized, which can lay a solid theoretical and methodological foundation for policy science, bibliometrics and other related research.[Method/process] This paper clarified the development origin and conceptual connotation of policy informatics by relying on subject informatics, summarized the research content and research process of policy informatics in detail, and put forward a disciplinary system centered on the four aspects of theoretical basis, method technology, application practice and education management to promote the development of each other, and constructed a policy informatics research system from two aspects of theoretical foundation construction and knowledge map description.[Result/conclusion] Policy informatics mainly revolves around massive multi-source heterogeneous data, using methods such as bibliometric analysis, social network analysis, content analysis, text calculation and visualization, to carry out policy change process and evolution law, policy quantitative analysis and effectiveness evaluation, policy intergovernmental relations and policy games, and the relationship between policy research and science research. It needs to build a large professional field policy database, develop special policy analysis techniques and tools, carry out extensive and in-depth case studies, and form high-quality academic community.

Key words: policy informatics, policy quantification, policiometrics, interdisciplinary, subject informatics

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