[Purpose/Significance] Inter-organizational data sharing (IDS) is a powerful engine in the era of digital economy. It is of great significance to explore the barriers that exist in the practice of inter-organizational data sharing in China. [Method/Process] Based on the perspective of territoriality theory, this paper took the government data-sharing practices in three cities in central China as examples to conduct a case study. 37 territorial barriers were identified belonging to the three categories: organizational psychological cognition, organizational environment and organizational territorial behavior. A model of territorial barriers was constructed to IDS, and the logical relationship among the barriers was clarified based on the results of the case study. [Result/Conclusion] It finds that six types of territorial behaviors: territory establishment, identity-oriented marking, control-oriented marking, anticipatory defense, reactive defense, and territorial expansion, play an obstructive role in different stages of IDS. In addition, the results of the study show that the effects of organizational psychological cognition and organizational environmental barriers on different territorial behaviors are particularly focused, providing ideas for proposing feasible solutions to alleviate the territorial barriers to IDS in China.

[Purpose/Significance] Through the quantitative analysis and evaluation of the existing policies in China, it provides a basis for the formulation, adjustment and improvement of healthcare big data policies in the next stage. [Method/Process] Taking 103 policies from the central and provincial governments in China as research objects, this paper constructed a three-dimensional analysis framework of “theme-tool-effectiveness”, and applied LDA theme modeling, content analysis method and PMC index model in order to conduct multi-dimensional mining and systematic analysis of policy texts. [Result/Conclusion] The policy themes cover a wide range and include openness and protection. The structure of policy tools is unbalance, and the combination needs to be optimized. The overall policy effectiveness is acceptable, with a large gap between levels. Finally, policy optimization suggestions are put forward in terms of enriching policy themes and details, optimizing the combination of policy tools, promoting the proliferation of high-quality policies, and encouraging public participation.

[Purpose/Significance] To investigate the influence mechanism and boundaries of data assetization on the new quality productive forces in enterprises through quantitative analysis can provide theoretical insights for enterprises to develop new quality productive forces and achieve high-quality growth. [Method/Process] This article took the strategic emerging industries listed on the China’s A-share market from 2010 to 2022 as research objects, and analyzed the impact of enterprise data assetization on enterprise new quality productive forces by quantifying the latter. [Result/Conclusion] Data assetization can significantly improve the development level of new quality productive forces of enterprises. After a series of robustness tests, such as instrumental variables, the results remain robust. At the same time, through heterogeneity analysis, it finds that the promoting effect of data assets on new quality productive forces is more pronounced in small-sized and state-owned enterprises. In addition, data assets not only improve the level of new quality productive forces of enterprises by alleviating financing constraints but also enhance it by improving the quality of internal control and the collaboration efficiency with upstream and downstream supply chain enterprises. This article provides empirical support for clarifying the path and boundary of the role of data assetization in enhancing new quality productive forces of enterprises, and can also provide policy basis for fully realizing the value and potential of data elements in China.

[Purpose/Significance] This study designs indicators to measure the novelty of a scholar’s early knowledge structure based on the innovative characteristics inherent in it. The purpose is to predict the scholar’s future influence, thereby providing new indicators for the early identification of academic talents. [Method/Process] Firstly, a dataset of 59,207 scholars in the biomedical field was obtained from the PubMed knowledge graph (PKG) database, and the knowledge structure of scholars was constructed using the co-occurrence relationships of controlled subject terms. Secondly, 6 indicators were designed to measure the novelty of scholars’ early knowledge structures on two levels: knowledge units and structural positions. Then, scholars were classified and labeled based on their later influence, and some machine learning models were trained. Finally, the classification effectiveness of different models was evaluated using the combination variable method, and the predictive performance of indicators based on the novelty of knowledge structures was analyzed. [Result/Conclusion] The study finds that novelty indicators can effectively predict influence. Among single-indicator predictions, topic novelty (TN) performs the best, while the 4 structural indicators all outperform the topic combination novelty (TCN). The F1 value of the comprehensive indicators is improved by an average of 2.7%. The novelty of knowledge structures provides a perspective for predicting and understanding scholars’ academic influence from content characteristics. The indicators designed are valuable and can complement existing prediction indicators.

[Result/Conclusion] Exploring the intentions of college students to use artificial intelligence generative content (AIGC) tools in the academic context can help promote the scientific use of AIGC tools in higher education. [Method/Process] It randomly recruited 40 college students for semi-structured in-depth interviews, and employed grounded theory to do three-level coding to construct an intentions model for the use of AIGC tools in the academic context from four levels: long-term goals, task goals, conversation goals, and interaction goals. [Result/Conclusion] The results indicate that the long-term goals of college students using AIGC tools include two basic tendencies: pursuing success and avoiding failure. The task goals include obtaining answers and inspiration, which can be refined according to the research stage and type into specific intentions around research projects, thesis, academic papers, and course papers in terms of topic selection, design, implementation, writing, and dissemination. The conversation goals include two types: obtaining objects and obtaining information. The interaction goals reflect the intention behind the interactive actions in the conversation, namely, the expression of needs and the evaluation of responses. Besides, it discusses from the perspectives of the hierarchical and typological classification of intentions, the relationships between levels, the features reflected by intentions, and characteristic of intention research based on AIGC. Finally, it puts forwards enlightening effects of intention models on theoretical research and practical implications.

[Purpose/Significance] The rampant spread of false, inaccurate, or incomplete health information on social media can be detrimental to public health. As information recipients, the public promptly identifies and corrects such misinformation, which not only protects their well-being but also contributes to the construction of a healthy health information ecology. [Method/Process] Based on the situational theory of problem solving, this study integrated protection motivation theory and self-construal theory to develop a research model that explored the influence mechanisms of social media users’ intention to correct health misinformation from two aspects: self-correction and correcting others. By means of quasi-experimental method, four common health misinformation scenarios were meticulously designed for sports, first aid, disease and health care. A total of 677 online and offline questionnaires were collected on users’ cognition, appraisal and correction intention on health misinformation. The differences in correction intention among different scenarios and age groups were compared using one-way ANOVA. [Result/Conclusion] The results show that involvement recognition has significant positive effects on threat appraisal, situational motivation and coping appraisal, while problem cognition has significant positive effects on threat appraisal and situation motivation. Coping appraisal plays a mediating role between involvement recognition, constraint recognition, and situational motivation. Independent self-construal plays a positive role in moderating the relationship between situational motivation and self-correcting intention, while dependent self-construal plays a positive role in regulating the relationship between situational motivation and the intention to correct others. The results reveal the mechanism of correcting health misinformation of ordinary users, and provide suggestions for social media platforms to manage health misinformation according to different users’ psychological characteristics.

[Purpose/Significance] Currently, the application and study of mixed methods research are still in the developmental stages. During the critical period of renaming the first-level subject, exploring the application of mixed methods research in library science could offer new opportunities for the future development of the field. [Method/Process] This paper introduced mixed methods research and elucidated its role in improving library science research. Taking two international journals and two domestic journals in library science as examples, this paper analyzed the situation of the application of mixed methods research in library science. [Result/Conclusion] The findings reveal a generally upward trend in the application of mixed methods research within library science, though there is still room for further improvement. Among the examples, researchers employ convergent parallel design, explanatory sequential design, exploratory sequential design, embedded design, and multiphase design to conduct their studies. Furthermore, this paper discusses the results, which provides enlightenment for future studies.

[Purpose/Significance] The rapid iteration and development of digital technology represented by large language models and artificial intelligence will become an important breakthrough for university libraries to move towards a new era of intelligent construction in the future. [Method/Process] By studying the current situation of policy orientation, theoretical research, and practical exploration of future learning centers, this paper deeply analyzed the dual challenges faced by university libraries in future learning centers construction in a digital intelligent environment, and proposed some strategic suggestions from four dimensions: intelligent perception of user needs, seamless integration into teaching systems, implementation of fine-grained knowledge automatic supply services, and comprehensive virtual reality technology shaping smart learning spaces. [Result/Conclusion] The future learning center of the library is a new product that conforms to the development of the digital age. The future development framework needs to closely focus on the four core elements of technology, resources, space, and users, and build a solid foundation of digital technology, construct a “four in one” system led by digital technology, and promote the deepening and implementation of the construction of future learning centers in university libraries.

[Purpose/Significance] In the digital intelligence era, libraries generally carry out various STEM education projects, but their attention to gender differentiation in STEM education is relatively low, and there are fewer STEM education projects for girls. This paper empirically investigates the factors that affect libraries’ implementation of STEM education for girls. [Method/Process] Based on theoretical analysis, expert consultation, and a pilot survey, four levels of influencing factors (including personal internal factors, external factors, library institution factors, and project implementation factors) were determined. A formal questionnaire was developed, and conducted in a large-scale survey. [Result/Conclusion] Using SPSS 26 software for statistical analysis, descriptive analysis shows a lower penetration rate of library STEM education programs in female households. Differential analysis indicates that there are differences in the understanding of multiple influencing factors among girl’s parents as the research objects. However, there is no group difference in the understanding of the problem between the STEM subject affiliation and whether the survey subjects are librarians. Binary logistic regression analysis identifies being a girl’s parent, STEM learning enthusiasm and interest, institutional inclusivity, and teaching methods as the main influencing factors. Finally, it proposes some suggestions from library promotion, institutional inclusiveness, teaching methods, and parent education.

[Purpose/Significance] This paper systematically reviews the practice and implementation path of citizen science in the UK, and provides reference for promoting citizen science practice in China. [Method/Process] Through searching the official websites of the British government, research institutions, research funding institutions and citizen science organizations, this paper comprehensively expounded the present situation of citizen science practice in the UK from four aspects: citizen science policy documents, infrastructures, projects and evaluation methods, and summarized the implementation path of citizen science in the UK and its enlightenment to China. [Result/Conclusion] The development of citizen science in the UK is a world leader, forming a spiraling path of citizen science implementation including making citizen science policy planning, planning citizen science projects, implementing citizen science projects, and carrying out citizen science evaluation and feedback. China can learn from the successful experience of UK citizen science, strengthen the top-level design of citizen science, give full play to the role of citizen science stakeholders, strengthen the evaluation and feedback of citizen science, and promote the professional development of citizen science.

[Purpose/Significance] Conducting thorough research on transformation agreements enables subscription institutions to better understand and leverage these agreements to reduce risks, safeguard rights, and improve resource utilization. Additionally, it helps in gathering data and experiences that can provide a more scientific foundation for future negotiations, contract signings, and the enhancement of open access policies. [Method/Process] This paper analyzed a total of sixty-one transformation agreements from eight prominent foreign academic journal publishers and nineteen academic library consortia across twelve countries, as listed on the ESAC platform. It employed text analysis tools to perform a comparative study on the key terms within these agreements, highlighting their structural and content characteristics. Insights were drawn to assist Chinese subscription institutions in negotiations and contract signings. [Result/Conclusion] The structure of each publisher’s transformation agreements is quite similar, with differences mainly focused on the specific provisions related to open access. The subscription institutions in China can make claims to publishers in controlling reasonable limits on publication volume, efficient information sharing systems, flexible author authentication processes, copyright retention for authors, transparent fee structures, and streamline workflows. These strategies can enhance the terms of agreements and protect the rights of both institutions and authors.

[Purpose/Significance] Minors, as a key group in national reading, are highly valued by society. And the relevant research shows obvious characteristics of interdisciplinary integration. This article reviews existing achievements, clarifies the trend of cross-integration in research on minors reading, and provides reference for future theoretical expansion and practical development. [Method/Process] In terms of China National Knowledge Infrastructure (CNKI) as the data source, BERTopic modeling technique was employed sequentially to identify topics, cluster topics, and display trends of research results. The topic contents and causes of changes were analyzed step by step from shallow to deep, and future research recommendations were proposed. [Result/Conclusion] Research on minors reading in China has formed 15 research topics from now on, which can be clustered into five major topic groups: reading promotion, early reading, social reading, reading literacy, and dyslexia. In 2006, 2012, 2015, and 2018, there were significant changes in the intensity of research, influenced by three major factors: national policy advocacy, basic rights protection, and technological transformation requirements. Future research needs to continue to combine interdisciplinary research paradigms, focus on reading promotion, social reading, and dyslexia, and conforms to the requirements of national and era transformation.