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政府开放高价值数据集的域外经验及其镜鉴

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席卷全球的政府开放数据运动在发展中面临困境,主要体现为数据范围多而不当、数据质量普遍较差、数据程序不尽合理等,原因是技术、制度及组织方面存在制约.在此背景下,开放高价值数据集应运而生,其契合数字时代的善治理念,具有"成本—效益"的实践优势,且在基础设施和制度规范方面已经具备了相应的基础.从域外开放高价值数据集的过程梳理和机制比较可见,美国与欧盟在基本定位、推进制度、治理手段等方面已形成共识,但在目标导向与规制程度方面存在差异.欧美国家/地区的相关经验可归纳为类型化的内容标准、三星级的形式标准和多主体参与的程序标准,其面临的挑战主要在于法律和文化两个层面.中国优先开放高价值数据集具有制度和实践基础,当前需从国家层面出台优先开放高价值数据集行动计划:一是优化开放理念,强化以市场为导向的意识;二是构建开放机制,包括主观与客观相统一的标准认定机制、政策与法律相借鉴的制度调适机制、数据供给方与数据需求方相沟通的反馈回应机制;三是明确开放规范,包括明确高价值数据集的概念、内容边界和开放次序.
The Experience of Foreign Governments Opening up High Value Datasets and Its Enlightenment for China
In response to the difficulties faced by the open data movement,the Chinese government has prioritized promoting the opening of high-value data sets to the public.However,the policy is promoted slowly in practice,and the basic problems are not studied enough in theory.Most of the existing literature focuses on open data subjects and open data platforms,and there is a lack of existing literature on data sets and their value recognition.This paper uses comparative research,literature analysis and other methods to carry out research.Firstly,the paper analyzes the difficulties faced by the open data movement of governments around the world,points out that the cause is the technical,institutional and organizational constraints,and puts forward the necessity and feasibility of opening high value data sets.Secondly,based on the process sorting and mechanism comparison of opening high-value data sets around the world,it is pointed out that the United States and the European Union have reached a consensus on basic positioning,promotion system and governance means,but there are also differences in goal orientation and regulation degree.Thirdly,the paper systematically combs the relevant practical exploration of European and American countries,extracts the existing experience,and analyzes the current challenges.Finally,in view of China's promotion of the priority opening of high-value data sets,it is suggested that based on the practical basis of data opening,the concept of data opening should be optimized,an open mechanism should be systematically established,and open norms should be clarified in a timely manner,so as to form a comprehensive,systematic and clear institutional system.Compared with previous literatures,this paper expands on the two aspects of experience extraction and countermeasures.First,the experience of European and American countries in exploring open high-value data set standards is summarized into the establishment of typed content standards,three-star formal standards and multi-agent participation procedure standards.Second,it puts forward the overall strategy of prioritizing the opening of high-value data sets in China,including optimizing the opening concept and strengthening the market-oriented concept consciousness,the establishment of subjective and objective standard identification mechanism,policy and law reference system adjustment mechanism,data suppliers and data demand communication feedback mechanism.It also includes open specifications that clarify the concept of high-value data sets,content boundaries,and open order.This study systematically summarized the practical experience of opening high-value data sets outside the region,extracted the basic operation mechanism,analyzed the challenges faced by the current work of opening high-value data sets,expanded the existing theoretical research on data opening,and provided a foundation for comprehensive and in-depth research on open high-value data sets in the future.On this basis,the policy suggestions are helpful for the further development of China's practice of opening high-value data sets.

datasetdata valuepublic dataopen datadata flowdata utilization

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东南大学 法学院,江苏 南京 211189

江苏师范大学 法学院,江苏 徐州 221116

数据集 数据价值 公共数据 开放数据 数据流动 数据利用

江苏省高校哲学社会科学研究一般项目

2023SJYB1071

2024

西安交通大学学报(社会科学版)
西安交通大学

西安交通大学学报(社会科学版)

CSTPCDCSSCICHSSCD北大核心
影响因子:0.871
ISSN:1008-245X
年,卷(期):2024.44(4)
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