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中文题名:

 政府数据开放中的数据权属管理与机制研究    

姓名:

 鲁洁    

保密级别:

 公开    

论文语种:

 chi    

学科代码:

 125200    

学科专业:

 公共管理    

学生类型:

 硕士    

学位:

 公共管理硕士    

学位类型:

 专业学位    

学位年度:

 2024    

校区:

 北京校区培养    

学院:

 政府管理学院    

研究方向:

 公共管理    

第一导师姓名:

 耿骞    

第一导师单位:

 政府管理学院    

提交日期:

 2024-06-07    

答辩日期:

 2024-05-26    

外文题名:

 RESEARCH ON DATA OWNERSHIP MANAGEMENT AND MECHANISMS IN THE OPENING OF GOVERNMENT DATA    

中文关键词:

 政府数据开放 ; 数据权属管理 ; 政府数据价值链    

外文关键词:

 Government Data Open ; Data Ownership Management ; Data Value Chain    

中文摘要:

随着信息技术的快速发展,政府拥有越来越丰富的公共数据,同时公众对于政府信息也要求更深层次的数据开放,以获得更多的政府公共信息与服务资源。政府数据的开放成为推动社会发展的战略工具,是提高政府透明度、促进公共服务创新的重要手段。然而,在这一进程中,数据权属的管理问题愈发显著,包括法律法规的不完善、技术安全的隐患、以及管理机制的不足等问题,成为制约政府数据开放的关键因素。本研究旨在以数据权属为中心,深入研究政府数据开放中的权属管理机制,为解决相关问题提供理论和实践支持。

本研究采用了案例研究法。首先,通过广泛阅读相关文献,总结国内外关于政府数据开放与数据权属管理的研究成果,为提出新机制奠定理论基础。接着,通过对价值链模型的理解,设计符合政府数据开放实际的政府数据价值链模型,选取北京市公共数据开放平台为案例,通过对政府数据开放案例的深入分析,揭示当前数据权属管理存在的问题和挑战。最后,本研究通过分析北京市公共数据开放平台中选取案例的操作机制、管理流程以及遇到的具体问题和挑战,提出了一套改进措施和建议。

本研究发现,当前政府数据开放过程中普遍存在的数据权属管理问题包括法律和政策框架不健全、权属界定模糊、数据安全性难保障、内部管理机制不完善等问题等。通过分析,我们归纳出了政府数据开放与数据权属管理方面遇到的挑战。基于这些发现,提出了一套符合我国国情的政府数据权属管理机制。

新机制强调了法律法规的建设、技术手段的创新以及建立完善管理机制的重要性。在政策层面,我们建议完善相关法规,确保明晰的数据权属归属和责任体系的完善。在技术层面,我们提倡采用先进的数据加密和权限管理技术,以确保数据的安全性和隐私保护。在管理层面,我们鼓励建立更明晰数据管理体系、统一的数据标准,使数据权属明晰化、数据流通更顺畅。新的权属管理机制能够有效解决数据开放中的权属纠纷,促进了数据的合理利用,提升了政府数据开放的效果。

本研究深入剖析了我国政府数据开放过程,聚焦于数据权属管理的复杂性和多维问题。通过系统地分析当前存在的问题,包括法律法规的缺陷、权属界定的模糊性、数据安全与隐私保护的挑战以及管理和操作机制的不足,揭示了政府数据开放中的关键痛点,提出了创新的管理机制和策略建议。这些建议旨在完善我国的数据治理架构,通过法律、技术和管理的多方面改进,确保数据权属明确、数据使用安全可靠、数据流通高效顺畅。通过实施这些新机制,本研究期待为解决政府数据开放的权属管理难题提供实际可行的解决策略,进而推动政府数据资源更广泛、更高效利用,为社会经济发展注入新的活力,促进政府治理能力的现代化。

外文摘要:

With the rapid development of information technology, governments possess an increasingly rich array of public data. At the same time, the public demands deeper access to government information to gain more public information and service resources. The opening and sharing of government data have become strategic tools for promoting social development and important means to enhance government transparency and innovate public services. However, in this process, the management of data ownership has become increasingly prominent, including issues such as imperfect laws and regulations, technical security risks, and conflicts of economic interests, which are key factors restricting the opening of government data. This study aims to focus on data ownership and delve into the ownership management mechanisms in the sharing and opening of government data, providing theoretical and practical support to address related issues.

This study employs an empirical research approach. Initially, by extensively reviewing relevant literature, it summarizes domestic and international research findings on government data openness and data ownership management, laying a theoretical foundation for proposing new mechanisms. Subsequently, through understanding the value chain model, it designs a government data value chain model that fits the reality of government data openness, selecting the Beijing Public Data Open Platform as a case study. Through in-depth analysis of the case of government data openness, it reveals the current problems and challenges in data ownership management. Finally, by analyzing the operational mechanisms, management processes, and specific problems and challenges encountered in the selected cases from the Beijing Public Data Open Platform, the study proposes a set of improvement measures and recommendations.

This study finds that common issues in the management of data ownership during the government data opening process include an incomplete legal and policy framework, unclear ownership demarcation, difficulty in ensuring data security, and imperfect internal management mechanisms, among others. Through analysis, we have summarized the challenges encountered in the opening of government data and data ownership management. Based on these findings, we propose a set of government data ownership management mechanisms that are suited to China's national conditions.

Our new mechanism emphasizes the construction of laws and regulations, innovation in technical methods, and the importance of social participation. At the policy level, we suggest improving relevant regulations to ensure clear data ownership attribution and a responsibility system. Technically, we advocate for the use of advanced data encryption and permission management technologies to ensure data security and privacy protection. At the management level, we encourage the establishment of a clearer data management system and unified data standards to make data ownership more transparent and data circulation smoother. The new ownership management mechanism can effectively solve ownership disputes in data opening, promote the reasonable use of data, and enhance the effectiveness of government data opening.

This study provides practical guidance and theoretical support for the deepening of government data opening in China. Through in-depth analysis of existing problems and empirical validation of the new mechanism, we hope to offer feasible solutions to the issues of data ownership management in government data opening, promoting broader and more effective open government data.

参考文献总数:

 45    

馆藏号:

 硕125200/24076    

开放日期:

 2025-06-07    

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