Library and Information Service More
2025 Volume 69 Issue 3  Published: 05 February 2025
  
  • Select all
    |
    RESEARCH PAPERS
  • RESEARCH PAPERS
    Zou Chunlong, Ma Haiqun, Wang Jin
    Download PDF ( )   Knowledge map   Save
    [Purpose/Significance] In the digital era, the importance of public data as a new resource is increasingly prominent, and how to activate the potential of public data and release the value of public data is of great significance to promote the development and application of big data and empower innovation-driven development strategies. [Method/Process] Based on the concept and connotation of public data, and the open data ecosystem theory, this paper constructs an analysis framework for the public data value release from “resource-subject-environment”, and applies the fuzzy set qualitative comparative analysis method to carry out configuration analysis to explore the linkage effect of multiple factors on the release of public data value. [Result/Conclusion] The study concludes three modes of public data value release, including user-oriented, government-led, and full-ecological demand. Based on this, a targeted value release optimization path is proposed to achieve the goal of maximizing the value release of public data.
  • RESEARCH PAPERS
    Qian Minghui, Xu Jiayuan, Wang Chi, Wang Mingyu
    Download PDF ( )   Knowledge map   Save
    [Purpose/Significance] Constructing the cultural digitalization innovation evaluation index, assessing and monitoring the innovation level across provinces can provide references for promoting the in-depth development of cultural digitalization in China. [Method/Process] Through expert scoring method and entropy weight method, this article constructed a cultural digitalization innovation index system. Combining patent data and industry data, it made an empirical analysis on the level of cultural digitalization innovation in 31 provinces. [Result/Conclusion] The empirical results indicate that the level of cultural digitalization varies across provinces. Economically developed provinces show higher level of innovation, and some provinces exhibit distinctive innovation characteristics. Cultural digitalization innovation presents regional differentiation and industrial cluster differentiation. The innovation level is highly coordinated with scientific and technological talents, intellectual property layout and other elements. It puts forward the following suggestions: focus on the core of national cultural digitalization construction, effectively guarantee the openness and sharing of data and cultural resources; strengthen the dynamic monitoring in provinces and regions, and encourage the full excavation of cultural resources; accelerate and deepen the innovation activities, and pay attention to the absorption of talents in related industries.
  • RESEARCH PAPERS
    He Tantao, Liu Yuenan
    Download PDF ( )   Knowledge map   Save
    [Purpose/Significance] This study investigates documentation requirements in cultural heritage policies to understand their overall status, main content, and future development trends. [Method/Process] The study adopted network literature survey and policy content analysis to code and analyze 148 policy documentation requirements related to cultural heritage documentation in China. [Result/Conclusion] It finds that, with the development of these policies in China, the framework of policies has been formed, including the strong demand of documentation, the synergistic participation of multiple stakeholders, expanding and detailed documentation objects, access-oriented cultural heritage archiving activities, and sustained and complete safeguard measures. Overall, documentation is becoming an indispensable and fundamental part of cultural heritage protection. In the future, it is necessary to further strengthen the systematization and relevance, the professionalism and digital transformation-oriented design of policies.
  • RESEARCH PAPERS
    Chu Jiewang, Zhou Yan, Luo Yifan
    Download PDF ( )   Knowledge map   Save
    [Purpose/Significance] With the rapid development of artificial intelligence generated content (AIGC), it is necessary to recognize the misconduct behaviors that exist in the process of AI-generated content. This paper aims to provide a theoretical reference for effective AIGC governance and create a healthy and safe development environment. [Method/Process] By establishing AIGC quality standards, this study analyzed specific misconduct behaviors in AI-generated content and constructed a governance mechanism for AIGC misconduct based on the WSR system methodology. [Result/Conclusion] This paper describes AIGC misconduct behaviors from four dimensions: data, expression, ethics, and law. Then it proposes a governance path for AIGC misconduct based on the WSR system methodology from the perspective of Wuli, Shili and Renli. It constructs a multi-agent synergistic governance mechanism integrating data, algorithms, technology, auditing, supervision, laws, and regulations, providing a reference for relevant departments to develop AI governance measures.
  • RESEARCH PAPERS
    Zhang Jingyi, Geng Ruibin, Zhao Yiming
    Download PDF ( )   Knowledge map   Save
    [Purpose/Significance] Against the backdrop of the intensifying U.S. semiconductor technology restrictions on China, it is strategically imperative to delve deeper into the intricate operational chains and dynamic evolutionary patterns embedded in the impact of U.S. technology export controls, assisting decision-makers to gain insight to the evolution paths of policy impacts, gauge the effectiveness of the countermeasures, and update their policy planning. [Method/Process] This study proposed a method for identifying the evolution paths of policy impact based on event evolutionary graph. From the perspective of the dynamically evolving nature of the events, it introduced the Markov chain model to identify critical evolution paths of events in the graph. It analyzed the impact of U.S. technology restrictions on major associated entities across the upstream, midstream, and downstream segments of China’s semiconductor industry and their evolution trends, thereby assessed the complex mechanisms influencing various stakeholders. [Result/Conclusion] The findings reveal that there are significant differences in the evolution characteristics of events among entities at different sectors of the industry chain. Government-led pre-interventions pose a crucial impact on the positive orientation of event evolution, while market-responsive events have an important feedback role in the paths. Consequently, it is imperative to prioritize policy implementation to develop a multi-level, full-chain policy system encompassing the entire industry, foster the collaborative efforts of government, industry, academia, and research to advance breakthroughs in key core technologies within the semiconductor field, and promote cooperative synergy among enterprises across the upstream, midstream, and downstream sectors to establish a secure, autonomous, and collaboratively innovative semiconductor industry ecosystem.
  • RESEARCH PAPERS
    Li Hui, Liu Zhuyi, Wang Qianyu, Wang Ruoting
    Download PDF ( )   Knowledge map   Save
    [Purpose/Significance] This study explores the change process of interdisciplinary integration from multiple dimensions under different development stages, which helps to enrich the research methods of interdisciplinary characteristics, dig out the core technologies and potential methods for promoting integration, and provide references for the formulation of interdisciplinary related policies. [Method/Process] This article adopted a combination of bibliometrics and natural language processing for analysis. First, it conducted a coarse-grained analysis of interdisciplinary characteristics using indicators of diversity, persistence, stability, and affinity. Then, it took a fine-grained analysis by automatically extracting technology/method elements and mapping them to their respective disciplines, identifying research methods and technical elements related to disciplines. Finally, it integrated both coarse-grained and fine-grained analyses to reveal potential technology pairs between disciplines in the field. [Result/Conclusion] Taking the digital humanities as an example for empirical analysis, this paper indicates that the coarse-grained disciplinary intersection analysis based on the entire discipline and the fine-grained one based on technical/methodological elements can effectively reveal the cross-disciplinary integration within the field and identify the technical methods that promote such integration. Through integrating the analysis results of cross-disciplinary intersection at both coarse and fine granularities, it is conducive to discovering the “topic-technology pairs” that drive cross-disciplinary research and providing references for researchers’ related studies.
  • RESEARCH PAPERS
    Liu Ying, Yu Chunmei, Li Xiaochen, Li Ye, Zhao Mingyu
    Download PDF ( )   Knowledge map   Save
    [Purpose/Significance] Aiming at research frontiers and predicting future research topics can help researchers discover new hotspots of academic growth and optimize the allocation of government resources. [Method/Process] This paper used a deep learning pre-training model to enhance the semantic representation of text, and proposed an improved BERTopic model (SBERT-UMAP-HDBSCAN-TopMine), in order to enrich and improve the topic representation and topic evolution methods. Firstly, the SBERT model was used for sentence embedding to make up for the non-smooth anisotropy of sentence vectors. Dimensionality reduction was performed using UMAP, followed by topic clustering utilizing the HDBSCAN algorithm. To address potential blind spots in semantic expression during topic identification, TopMine was applied to extract topic phrases from clustered topics for topic representation. Secondly, the Word Mover’s Distance (WMD) was employed to calculate the similarity between different topics in adjacent time periods, revealing the emergence, occurrence, and dynamic relationship of topics across different time periods. Finally, dynamic evolution analysis of supply chain finance hotspots was conducted. [Result/Conclusion] This paper takes the field of supply chain finance as an example for empirical analysis, dividing the research direction into four categories: supply chain finance risk assessment, supply chain finance financing models, modern financial technology empowerment, and sustainable supply chain finance. The model helps to improve the interpretability and recognizability of hot topics in the field of supply chain finance. Through dynamic evolution analysis, it is found that sustainable supply chain finance is a key area of current and future research.
  • RESEARCH PAPERS
    Lu Ying, Zhang Huixin, Zhang Yating, Zhu Dan, Wu Yuxuan
    Download PDF ( )   Knowledge map   Save
    [Purpose/Significance] In the data-intensive scientific research paradigm, determining user demand for scientific data services and prioritizing the research services content conducive to better improving user satisfaction. [Method/Process] On the basis of service surveys and practical experience, ten types of scientific data service projects were summarized, encompassing 27 subcategories. Based on the KANO model, user questionnaires were distributed to investigate the user demand for these various scientific data service products. [Result/Conclusion] Based on the traditional category/improved category division and Better-Worse coefficient analysis, the service contents are classified into essential, expected, excitement and undifferentiated needs. Then the scientific data service development proposal based on priority analysis is obtained.
  • RESEARCH PAPERS
    Xu Liyuan, Qian Li, Chang Zhijun
    Download PDF ( )   Knowledge map   Save
    [Purpose/Significance] Through research and analysis of a series of scientific data management methods and policies issued by China and the Chinese Academy of Sciences, it provides useful reference for National Science Library, China Academy of Sciences to formulate a policy framework for data collection and sharing in the field of documentation and information. [Method/Process] Based on the comparison of data collection and sharing policies at home and abroad, this paper summarized and analyzed relevant regulations on data collection and sharing methods, and completed the research on the policy framework of data exchange and sharing by combining the datasets produced by LAS researchers during the scientific research process, various related data generated during the publication of scientific research papers or scientific reports. It mainly included general principles, division of responsibilities, data collection management and open sharing, guarantee mechanisms, security and confidentiality, and 6 categories of supplementary provisions, with a total of 21 indicators. [Result/Conclusion] Based on the above research, the Implementation Rules for the Management and Open Sharing of Data Related to Papers and Reports in National Science Library, Chinese Academy of Sciences is issued to guide the data collection and sharing work of the LAS, improve the level of data collection and utilization, and promote the efficient use of data resources.
  • RESEARCH PAPERS
    Zhang Lu, Bie Liqian, Wang Jing
    Download PDF ( )   Knowledge map   Save
    [Purpose/Significance] It is of great significance to promote the integration reform of subject-oriented acquisition and cataloging, explore the innovative path of collection development transformation for promoting the high-quality development of academic libraries, and supporting the construction of “Double First Class” universities. [Method/Process] Starting from the current situation of collection development in academic libraries, this paper first explored the development strategy and organization structure of the integration of collection acquisition and cataloging under the top-level design mechanism in Peking University Library, and then deeply analyzed the reengineering framework and innovation paths of the integration of subject-oriented acquisition and cataloging. [Result/Conclusion] Under the guidance of the development strategy, Peking University Library establishes an integration organization structure of subject-oriented acquisition and cataloging through the reform and librarian team building, and conducts business process reengineering from the internal process, the supply side and the service side for the integration of subject-oriented acquisition and cataloging. The important characteristics of the integration transformation of collection acquisition and cataloging in Peking University Library are the cooperation mechanism on the integration of acquisition and cataloging, the subject resources and service process, and high-quality librarians for subject acquisition and cataloging.
  • RESEARCH PAPERS
    Yu Limei
    Download PDF ( )   Knowledge map   Save
    [Purpose/Significance] Digital government is an inevitable trend in the transformation of governance in the digital era. The attention allocation of local government in digital government determines the content and methods of its construction, which is of great significance for enhancing the understanding of diverse practices and optimizing its effectiveness in digital government construction. [Method/Process] Through bibliometric analysis and textual content analysis of digital government construction policies released at provincial level, this paper explored the characteristics and evolutionary trends of local governments attention allocation in digital government construction. [Result/Conclusion] The study reveals that the construction of digital government is deeply integrated into all areas of government functions comprehensively. The specific content highlights the response to hot issues, and gives consideration to both efficiency and public value. With the deepening of digital government construction, the attention allocation of local government has experienced a slow growth during the period of independent exploration and a rapid increase under the guidance of the central government, expanding towards a wider range of governance issues, and the application planning has shifted from function-oriented to scenario-driven. In addition, there are regional differences in the attention allocation of digital government construction, presenting the characteristics of intra-regional competition and leading by eastern provinces. The research further indicates that the attention evolution in digital government construction is fundamentally driven by the transformation of construction motivations. These findings provide a certain reference for the optimization of digital government construction.
  • REVIEW
  • REVIEW
    Xu Haiyun, Gong Bingying, Yang Junhao, Hu Xiaoyang, Wang Chao, Chen Liang
    Download PDF ( )   Knowledge map   Save
    [Purpose/Significance] With the rapid growth of data volumes and technological advancements, leveraging intelligent technologies for earlier and more precise identification of emerging research topics is of great importance. This paper reviews relevant literature to provide a more precise and multi-perspectival methodological reference for future research on the emerging research topics identification. [Method/Process] Using the Web of Science Core Collection and CNKI as data sources, this study first clarified emerging research topics and related concepts, summarized the multi-source data used in the research. It then focused on reviewing the identification methods, emphasizing those with currently low application but high potential in science and technology intelligence analysis, and provided a comprehensive overview. Finally, the paper proposed feasible directions for the emerging research topic identification. [Result/Conclusion] Emerging research topics have always been a frontier hotspot in scientific intelligence, with increasingly clear characterizations and rapidly iterating identification methods. However, current research faces challenges such as single data types and a lack of advanced identification methods and tools. Future research needs to expand theoretical perspectives, enhance the use of intelligent technologies, cover more dimensions of emerging research topics, and integrate expert knowledge to improve the accuracy and recall rate of emerging research topic identification.