农业图书情报学报

• •    

基于S-CAD方法的公共数据资源开发利用政策评估

马海群1, 满振良2()   

  1. 1. 黑龙江大学 信息资源管理研究中心,哈尔滨 150080
    2. 哈尔滨医科大学 图书馆,哈尔滨 150081
  • 收稿日期:2025-04-23 出版日期:2025-08-18
  • 通讯作者: 满振良
  • 作者简介:

    马海群(1964- ),男,博士,二级教授,研究方向为信息政策与法律

  • 基金资助:
    国家社会科学基金重大项目“面向数字化发展的公共数据开放利用体系及能力建设研究”(21&ZD336)

Policy Analysis and Evaluation of the Development and Utilization of Public Data Resources Based on the S-CAD Method

MA Haiqun1, MAN Zhenliang2()   

  1. 1. Research Center of Information Resources Management, Heilongjiang University, Harbin 150080
    2. Library of Harbin Medical University, Harbin 150081
  • Received:2025-04-23 Online:2025-08-18
  • Contact: MAN Zhenliang

摘要:

【目的/意义】 《关于加快公共数据资源开发利用的意见》是中央层面首次对于公共数据资源开发利用出台的顶层设计,对其政策文本开展评估,能够分析当前公共数据资源工作的规划和部署,发现其中的不足并予以完善,为开发利用提供切实可行的制度保障。 【方法/过程】 文章首次将S-CAD方法系统地应用于公共数据资源开发利用政策评估,丰富了该政策领域的研究方法,对《意见》文本进行一致性、充要性、依赖性3个维度的评估,发现该政策具有较高的一致性,充要性上对于价值目标的实现也可起到助力作用,但依赖性上仍面临一些挑战,需要更加全面和合理地进行政策设计。 【结果/结论】 《意见》的出台为公共数据资源开发利用提供了政策指导,但仍有完善空间,特别是在部门协同、隐私保护等方面加强制度考量,并根据实际情况及时调整政策,确保公共数据资源开发利用工作有序推进,为经济社会高质量发展提供有力支撑。

关键词: S-CAD, 公共数据, 数据开发, 数据利用, 政策评估

Abstract:

[Purpose/Significance] In the context of the booming development of the digital economy, public data, as a fundamental strategic resource of the country, plays an important role in promoting high-quality economic development, enhancing government governance capabilities, and stimulating social innovation vitality through its development and utilization. The "Opinions on Accelerating the Development and Utilization of Public Data Resources" (hereinafter referred to as the Opinions), is the first top-level design document for the development and utilization of public data resources at the central level. It directly affects the success or failure of the market-oriented allocation reform of data elements in terms of policy effectiveness. Therefore, a comprehensive and systematic evaluation of the Opinions not only helps identify the strengths and weaknesses of policy design, but also provides scientific basis for the continuous optimization of policies, thereby ensuring the efficient development and utilization of public data resources and providing strong support for high-quality economic and social development. [Method/Process] This study introduces an innovative evaluation framework called S-CAD (Consistency Dependency Sufficiency) evaluation framework, which analyzes policy texts in depth through three dimensions: consistency, sufficiency, and dependency. 1) Consistency analysis focuses on the logical coherence between policy positions, goals, means, and expected outcomes. 2) Necessary and sufficient analysis evaluates the necessity and adequacy of policy measures for achieving goals. 3) Dependency analysis identifies key chains and stakeholders' interests and demands in policy implementation to evaluate the feasibility and acceptability of the policy. In terms of specific applications, this study first clarifies the dominant viewpoint of the policy (policy makers) and related viewpoints of policy implementers, participants, influencers. Subsequently, four typical elements of stance, objectives, means, and expected outcomes were identified from the policy text, and an analysis chart of the content of the Opinion was constructed. Inviting scholars from the field of information resource management to participate ensured the evaluation's scientificity and accuracy. Consistency analysis shows that the policy stance, objectives, means, and expected outcomes of the Opinion are logically closely related. The objectives revolve around accelerating the development and utilization of public data resources, and the means and objectives support each other. The expected outcomes are highly consistent with the means, reflecting the systematic and rational design of the policy. The analysis of necessity and sufficiency shows that policy measures play an important role in achieving goals, such as deepening the reform of data element allocation and regulating the authorized operation of public data, all of which provide strong guarantees for achieving policy goals. A dependency analysis reveals potential challenges in policy implementation. These challenges include difficulties in coordinating departmental interests, unclear details of data authorization operations, insufficient data quality and availability, and public concerns about privacy protection. In response to these issues, this study proposes suggestions such as strengthening departmental collaboration, clarifying data authorization operation processes, improving data quality and availability, strengthening data security management and privacy protection publicity. [Results/Conclusions] The issuance of the Opinions provides an important policy framework and guidance for the development and utilization of public data resources, but there is still room for improvement in areas such as departmental collaboration and privacy protection. To enhance public trust and support for policies, future, policy measures should be further refined, data authorization operation mechanisms should be optimized, data quality and utilization efficiency should be improved, and data security management and privacy protection should be strengthened. By continuously monitoring the development trends of the data industry and adjusting policies in a timely manner, we ensure the efficient and orderly promotion of the development and utilization of public data resources. This approach injects strong impetus into the high-quality development of the economy and society.

Key words: S-CAD, public data, data development, data utilization, policy evaluation

中图分类号:  G203

引用本文

马海群, 满振良. 基于S-CAD方法的公共数据资源开发利用政策评估[J/OL]. 农业图书情报学报. https://doi.org/10.13998/j.cnki.issn1002-1248.25-0271.

MA Haiqun, MAN Zhenliang. Policy Analysis and Evaluation of the Development and Utilization of Public Data Resources Based on the S-CAD Method[J/OL]. Journal of library and information science in agriculture. https://doi.org/10.13998/j.cnki.issn1002-1248.25-0271.