RESEARCH PAPERS

Research on Driving Factors and Operational Mechanisms for Value Realization of Government Open Data

  • Hu Mo ,
  • Jiang Keqing ,
  • Shi Chenrui
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  • 1 College of Journalism and Communication, Nanjing Normal University, Nanjing 210028;
    2 Institute of Scientific and Technical Information of China, Beijing 100038
Hu Mo, Associate Professor, PhD, Master’s Supervisor; Jiang Keqing, Master’s Candidate, Corresponding Author, E-mail: 240212010@njnu.edu.cn; Shi Chenrui, Master’s Candidate.

Received date: 2025-06-13

  Revised date: 2025-09-09

  Online published: 2026-08-20

Supported by

This work is supported by the Youth Project of National Social Science Foundation of China, titled “Research on the Cross-chain Collaborative Model of Medical Care and Health Information under the Healthy China Strategy” (Grant No. 21CTQ035).

Abstract

[Purpose/Significance] With the rapid development of the digital economy, realizing the value of government open data has become a key proposition for promoting public service upgrading and stimulating socio-economic vitality. In-depth analysis of its key links, driving factors, and operational mechanisms is crucial for breaking through bottlenecks in data value transformation and enhancing government data governance capabilities. [Method/Process] This study uses meta-ethnography to identify the key links in the value realization of government open data, employs meta-analysis to recognize the driving factors of each key link, and further constructs a model of operational mechanisms for government open data value realization. [Result/Conclusion] Four key links in the value realization of government open data are identified: data correlation, data factorization, data marketization, and data transaction. The study identifies 9 driving factors for data correlation, and 8 driving factors each for data factorization, data marketization, and data transaction. Based on these key links and driving factors, a model of operational mechanisms for government open data value realization is constructed. And efforts are made to propose optimization countermeasures for each key link in the release of the value of government open data according to the positive and strongly correlated driving factors. This systematic analysis of the mechanisms is expected to provide theoretical guidance, technical support, and a framework for scenario-based applications, so as to lay a solid foundation for cultivating a new paradigm for the release of the value of government open data.

Cite this article

Hu Mo , Jiang Keqing , Shi Chenrui . Research on Driving Factors and Operational Mechanisms for Value Realization of Government Open Data[J]. Library and Information Service, 2026 , 70(16) : 133 -147 . DOI: 10.13266/j.issn.0252-3116.2026.16.027

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