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Journal of library and information science in agriculture

   

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

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

CLC Number: 

  • G203

Fig.1

Identification of policy elements under the dominant viewpoint of the Opinion"

Table 1

Quantitative evaluation index system"

一级维度 权重 二级指标 评分标准 指标权重 评分标准(1~5分)
一致性 0.4 C1:立场-目标逻辑一致性 评估V与G之间的逻辑关联紧密程度 0.35 5=完全一致,3=部分一致,1=逻辑冲突
C2:目标-手段逻辑一致性 评估G与S之间的逻辑关联紧密程度 0.45 5=高度适配,3=基本适配,1=无关联
C3:手段-结果逻辑一致性 评估S与R之间的逻辑关联紧密程度 0.2 5=直接关联,3=间接关联,1=无因果关系
充要性 0.35 S1:目标对价值的充要性 评估G对实现V的必要性与充分性 0.3 5=全面覆盖,3=部分覆盖,1=关键目标遗漏
S2:手段对目标的充要性 评估S对实现G的必要性与充分性 0.5 5=核心必要,3=辅助必要,1=非必要
S3:结果对手段的充要性 评估R对S实现的反映程度 0.2 5=资源充足,3=基本充足,1=严重不足
依赖性 0.25 D1:关键链条清晰度与可行性 评估核心V-G-S-R链条的清晰度和可行性 0.4 5=无缝协同,3=需协调,1=冲突严重
D2:相关观点共识度 评估执行者/参与者/影响者利益诉求共识 0.25 5=全面保障,3=基本保障,1=存在漏洞
D3:资源(法规/技术/组织)保障度 评估政策实施所需资源的可获得性 0.2 5=无显著障碍,3=部分障碍,1=严重阻碍
D4:主要风险可控度 评估识别出的主要风险的可控程度 0.15 5=风险完全可控,3=风险基本可控,1=风险严重失控

Fig.2

Analysis framework of policy elements in the Opinion"

Table 2

Evaluation results of the Opinions"

维度 加权得分 二级指标 指标权重 得分 等级
一致性 1.84 - - 0.46 优秀
1.75 C1:立场-目标逻辑一致性 0.35 0.50
2.03 C2:目标-手段逻辑一致性 0.45 0.45
0.80 C3:手段-结果逻辑一致性 0.20 0.40
充要性 1.47 - - 0.42 良好
1.20 S1:目标对价值的充要性 0.30 0.40
2.25 S2:手段对目标的充要性 0.50 0.45
0.70 S3:结果对手段的充要性 0.20 0.35
依赖性 0.78 - - 0.31 一般
1.00 D1:关键链条清晰度与可行性 0.40 0.25
0.75 D2:相关观点共识度 0.25 0.30
0.70 D3:资源保障度 0.20 0.35
0.60 D4:主要风险可控度 0.15 0.40
总体 4.09 - - - 良好
[1]
翟云. 走进数字政府[M]. 北京: 国家行政学院出版社, 2022.
ZHAI Y. Towards the digital government[M]. Beijing: National Academy of Administration Press, 2022.
[2]
郑春燕, 唐俊麒. 论公共数据的规范含义[J]. 法治研究, 2021(6): 67-79.
ZHENG C Y, TANG J Q. On the normative meaning of public data[J]. Research on rule of law, 2021(6): 67-79.
[3]
刁琦. 基于三维分析框架的公共数据政策文本量化研究[D]. 哈尔滨: 黑龙江大学, 2024.
DIAO Q. Quantitative research on public data policy text based on 3D analysis framework[D]. Harbin: Helongjiang University, 2024.
[4]
郭冀川. 公共数据资源开发政策密集出台 企业加速布局谋发展[N]. 证券日报, 2024-10-14(A02).
[5]
澎湃新闻. 京沪之间⑥|张向宏: 构建畅通有序的公共数据资源开发体系[EB/OL]. [2025-02-19].
[6]
漆晨曦, 陈晓佳, 彭卉. 欧盟开放数据发展对我国公共数据资源开发利用的启示[EB/OL]. [2025-02-19].
[7]
光明网. 如何唤醒“沉睡”的公共数据[EB/OL]. [2025-02-19].
[8]
孟庆国. 孟庆国: 加快公共数据资源开发利用,推进数据要素市场化配置改革[EB/OL]. [2025-02-19].
[9]
经济日报. 构建公共数据资源开发利用新格局[EB/OL]. [2025-02-19].
[10]
潍坊市网络空间安全协会. 专家解读|赵刚: 公共数据资源开发利用——深化数据要素市场化配置改革的关键举措[EB/OL]. [2025-02-19].
[11]
江小涓. 江小涓: 要大力推动公共数据的开放共享和开发利用[EB/OL]. [2025-02-19].
[12]
青阳县人民政府发布. 国家数据局解读《关于加快公共数据资源开发利用的意见》[EB/OL]. [2025-02-19].
[13]
张素华, 肖永平, 宁园. 制定中国公共数据开发利用法规的建议[J]. 中国经济报告, 2023(1): 117-123.
ZHANG S H, XIAO Y P, NING Y. Suggestions for formulating regulations on the development and utilization of public data in China[J]. China economic report, 2023(1): 117-123.
[14]
沙勇忠, 魏兴飞. 完善公共数据资源开发利用制度, 释放公共数据要素价值[J]. 文献与数据学报, 2024, 6(4): 3-6.
SHA Y Z, WEI X F. Improve the system for developing and utilizing public data resources, and unleash the value of public data elements[J]. Journal of literature and data, 2024, 6(4): 3-6.
[15]
门理想, 魏筠筵, 毛菁菁, 等. 公共数据开发利用中的大语言模型应用: 前景、挑战与路径[J]. 情报理论与实践, 2024, 47(11): 70, 111-70, 120.
MEN L X, WEI J Y, MAO J J, et al. Applications of large language models in the utilization of public data: Prospects, challenges and approaches[J]. Information studies: Theory & application, 2024, 47(11): 70, 111-70, 120.
[16]
袁莉, 何瑞敏. 公共数据资源开发利用模式研究: 基于政策文本的清晰集定性比较分析[J]. 情报科学, 2024, 42(4): 55-62.
YUAN L, HE R M. The development and utilization patterns of public data resources: A crisp-sets qualitative comparative analysis based on policy texts[J]. Information science, 2024, 42(4): 55-62.
[17]
JEONG J, CHO K. An exploratory study on the influencing factor on utilization of public data[J]. Journal of information technology services, 23(2): 49-62.
[18]
JIN Q. An evaluation of public data opening policy: Focused on public data portal[J]. Public policy review, 2017, 31(2): 57-82.
[19]
FAN B, MENG X Y. Moderating effects of governance on open government data quality and open government data utilization: Analysis based on the resource complementarity perspective[J]. Journal of global information technology management, 2023, 26(4): 300-322.
[20]
JANE C. A study about library-related open data through public data portals[J]. Journal of the Korean Biblia society for library and information science, 2018, 29(2): 35-56.
[21]
CHEN Y Y, LEE J E, YANG D M. A comparative study of open data regimes in South Korea and China - Focusing on the open data act of Korea and the open data ordinance of Zhejiang Province, China[J]. Journal of D-culture archives, 2024, 7(1): 215-239.
[22]
马海群, 冯畅. 基于S-CAD方法的国家信息政策评估研究[J]. 情报学报, 2018, 37(10): 1060-1076.
MA H Q, FENG C. Research on national information policy assessment based on the S-CAD method[J]. Journal of the China society for scientific and technical information, 2018, 37(10): 1060-1076.
[23]
郭谌达, 周俭, 梁鹤年. 基于S-CAD评估方法的遗产保护区保护政策分析: 以加拿大金斯顿《巴瑞菲尔德遗产保护区新计划》为例[J]. 国际城市规划, 2023, 38(4): 101-113.
GUO C D, ZHOU J, LIANG H N. Analysis and inspiration of heritage conservation district protection policy based on S-CAD: Taking "the new village of barriefield heritage conservation district(HCD) plan" in Kingston, Canada as an example[J]. Urban planning international, 2023, 38(4): 101-113.
[24]
梁鹤年. 政策评估: 观点法(S-CAD)概述[J]. 中国投资(中英文), 2022(SB): 38-40.
LIANG H N. Policy evaluation: Overview of viewpoint method (S-CAD)[J]. China investment, 2022(SB): 38-40.
[25]
和俊民. 中国退休政策改革: 政策分析的视角[M]. 郑州: 河南大学出版社, 2023.
HE J M. China's retirement policy reform: From the perspective of policy analysis[M]. Kaifeng, China: Henan University Press, 2023.
[26]
红星新闻. 公共数据资源开发利用最新意见出台 国家数据局: 要建立公共数据资源登记制度[EB/OL]. [2025-02-19].
[27]
钱家潍. 浙江省乡村规划专项行动政策分析框架研究: 基于S-CAD方法[J]. 上海城市规划, 2023(6): 84-90.
QIAN J W. A study on policy analysis framework of rural planning action in Zhejiang Province based on S-CAD method[J]. Shanghai urban planning review, 2023(6): 84-90.
[28]
京报网. 近三年年均增速接近 30%, 我国数据产业企业已达46.4万家[EB/OL]. [2025-02-19].
[29]
杨志军, 朱启珍. 基于S-CAD方法的安全生产治本攻坚政策评估[J]. 甘肃行政学院学报, 2024(3): 94-108, 128.
YANG Z J, ZHU Q Z. Policy evaluation of safety production based on S-CAD method[J]. Journal of Gansu administration institute, 2024(3): 94-108, 128.
[30]
赵林如. 市场经济学大辞典[M]. 北京: 经济科学出版社, 01-Oct-1999.
ZHAO L R. Dictionary of market economics[M]. Beijing: Economic Science Press, 01-Oct-1999.
[31]
郑振宇. 我国公共政策执行手段的选择、确定问题及改进[J]. 西藏民族学院学报(哲学社会科学版), 2004, 25(1): 53-56, 108.
ZHENG Z Y. Problems in choosing executive means of public policy and ways for improvement in our country[J]. Journal of Tibet nationalities institute, 2004, 25(1): 53-56, 108.
[32]
常江. 公共数据权利构建及其开放制度研究[D]. 上海: 华东政法大学, 2022.
CHANG J. Research on the construction of public data rights and its opening system[D]. Shanghai: East China University of Political Science and Law, 2022.
[33]
郑磊, 刘新萍. 我国公共数据开放利用的现状、体系与能力建设研究[J]. 经济纵横, 2024(1): 86-92.
ZHENG L, LIU X P. Current situation, system, and capacity building of public data sharing in China[J]. Economic review journal, 2024(1): 86-92.
[34]
曾金华. 促进数据合规高效流通使用[N]. 经济日报, 2024-01-17(7).
[35]
蒋元锐. 公共数据开放为企业带来发展新机遇[N]. 中华工商时报, 2024-10-15(4).
[36]
郑磊, 侯铖铖. 信息传递、价值适配与降本协调: 公共数据资源开发利用中的供需鸿沟研究[J]. 电子政务, 2024(10): 32-40.
ZHENG L, HOU C C. Information transmission, value adaptation and cost reduction coordination: Research on the gap between supply and demand in the development and utilization of public data resources[J]. E-Government, 2024(10): 32-40.
[37]
施彦军. 大数据时代政府数据开放利用的现实困境及其法治保障路径[J]. 北京邮电大学学报(社会科学版), 2023, 25(6): 70-78.
SHI Y J. Dilemma of open utilization of government data and its legal guarantee path in era of big data[J]. Journal of Beijing University of posts and telecommunications (social sciences edition), 2023, 25(6): 70-78.
[38]
吴志刚. 加快数据资源开发利用 充分释放数据要素潜能[J]. 数字经济, 2024(12): 1.
WU Z G. Speed up the development and utilization of data resources and fully release the potential of data elements[J]. Digital economy, 2024(12): 1.
[39]
宋瑞礼. 高质量发展导向的宏观调控目标体系研究[J]. 经济学家, 2024(11): 23-33.
SONG R L. Research on the macro-regulation target system oriented by high-quality development[J]. Economist, 2024(11): 23-33.
[40]
孟飞. 公共数据开放利用的逻辑与规则[J]. 上海政法学院学报(法治论丛), 2023, 38(5): 75-90.
MENG F. The logic and rules of opening and utilizing public data[J]. Journal of Shanghai University of political science and law (the rule of law forum), 2023, 38(5): 75-90.
[41]
马海群, 满振良. 政策工具视角下我国公共数据授权运营政策研究: 以浙江和山东两省为例[J]. 现代情报, 2025, 45(5): 5-14.
MA H Q, MAN Z L. Research on public data authorization and operation policies in China from the perspective of policy tools: Taking Zhejiang and Shandong Provinces as examples[J]. Journal of modern information, 2025, 45(5): 5-14.
[42]
徐雅倩, 丁玉洁, 吴嘉莉. 公共数据运营何以创新?: 来自国家级海洋数据交易平台改革样板的探索[J]. 电子政务, 2024(12): 79-91.
XU Y Q, DING Y J, WU J L. How to innovate public data operation? -Exploration from the reform model of national ocean data trading platform[J]. E-Government, 2024(12): 79-91.
[43]
杨洸, 李东阳, 宋旭. 浅析大数据技术在公共信息安全领域的应用与发展趋势[J]. 信息安全与通信保密, 2020, 18(12): 93-102.
YANG G, LI D Y, SONG X. The application and development trend of big data technology in the field of public information security[J]. Information security and communications privacy, 2020, 18(12): 93-102.
[44]
郭涛, 樊君花. 构建公共数据资源开发利用新格局[N]. 中国计算机报, 2024-10-21(17).
[45]
段坤君, 满振良, 王辉. 基于质性分析的我国省级公共数据管理办法文本研究[J]. 现代情报, 2023, 43(8): 27-34.
DUAN K J, MAN Z L, WANG H. Textual study of Chinese provincial public data management methods: Based on qualitative analysis[J]. Journal of modern information, 2023, 43(8): 27-34.
[46]
中中央国务院关于构建数据基础制度更好发挥数据要素作用的意见[N]. 人民日报, 2022-12-20(001).
[47]
李元丽. 我国公共数据资源开发利用迈出关键一步[N]. 人民政协报, 2024-10-28(9).
[48]
任明, 王为久, 周文泓, 等. 数据要素市场化推进: 进展、问题与对策[J]. 图书情报知识, 2024, 41(5): 25-35.
REN M, WANG W J, ZHOU W H, et al. Promoting the data element marketization: Progress, problems and solutions[J]. Documentation, information & knowledge, 2024, 41(5): 25-35.
[49]
纪杰. 跨部门政府数据共享的运行逻辑研究: 基于理性行为理论(TRA)的分析框架[J]. 西华师范大学学报(哲学社会科学版), 2024(4): 31-42.
JI J. Research on the operation logic of trans-department government data sharing: The analytical framework based on theory of reasoned action[J]. Journal of China west normal university (philosophy and social science), 2024(4): 31-42.
[50]
冯洁. 地方政府数据开放平台的用户体验影响因素研究: 以上海市为例[D]. 上海: 上海交通大学, 2019.
FENG J. Research on the factors influencing user experience of local government data open platforms[D]. Shanghai: Shanghai Jiao Tong University, 2019.
[51]
张涛, 韦晓霞. 我国算法治理政策法规内容及框架分析[J]. 现代情报, 2023, 43(9): 98-110.
ZHANG T, WEI X X. Content and framework analysis of algorithmic governance policies and regulations in China[J]. Journal of modern information, 2023, 43(9): 98-110.
[52]
杭州日报. 余杭: 源头活水涌智潮, 加“数”向“新”争先行[EB/OL]. [2025-02-19].
[53]
成都发展改革. 国家数据局点赞: 成都“管住一级、放活二级”,构建数据资源开发利用新模式[EB/OL]. [2027-02-19].
[54]
光明网. 福建: 首创公共数据分级开发模式 充分发挥公共数据作用[EB/OL]. [2025-02-19].
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