[Purpose/Significance] This study aims to explore the dynamic changes and interactions among various elements in the data transaction market, reveal the impact mechanism of data transaction on the market and social economy, and explore more effective management and trading modes. [Method/Process] This study adopted the system dynamics method to explore the data circulation mechanisms and their dynamics in the data transaction market. The market was subdivided into four core subsystems: data asset management, transaction mechanism, supervision and compliance, and market dynamics. Scenario simulations were carried out by Vensim to explore the interactions between the subsystems and their impact on the overall performance of the market. [Result/Conclusion] Through the systematic analysis of the data transaction market, this study aims to reveal the key driving factors and core problems in the data circulation, propose strategies to promote the healthy development of the market, and provide references for relevant policy formulation and market practice.

[Purpose/Significance] The phenomenon of knowledge withholding among users in virtual academic communities is a critical issue that affects knowledge sharing, innovation, and community development. Drawing upon relevant theories from sociology and psychology, this study delineates the multiple factors influencing knowledge withholding in virtual academic communities from both individual and community environment perspectives. [Method/Process] A two-stage qualitative and quantitative mixed method based on csQCA and decision trees was proposed. User data from virtual academic communities in three different disciplines, science and engineering, management and economics, and medicine, were collected through questionnaire to compare and analyze the multiple configurations of knowledge withholding among users. [Result/Conclusion] The study reveals that: (1) Knowledge withholding among users in virtual academic communities is influenced by multiple factors at both individual and environmental levels, leading to various configuration patterns. Knowledge power remains the primary factor contributing to high knowledge withholding among users in online academic communities. (2) Different combinations of high knowledge withholding are observed in virtual academic communities of different disciplines. In science and engineering communities, knowledge power, psychological ownership of knowledge, and subjective norms of knowledge withholding play major roles, while the influence of knowledge power is more widespread and direct in management communities, with less impact from psychological ownership. In medicine communities, individual factors often interact with community reciprocity and privacy protection at the environmental level. (3) The results of this mixed research method are mutually validating and complementary, providing more comprehensive conclusions. The study enriches and expands theoretical and methodological research on knowledge withholding in virtual communities, and provides insights for addressing knowledge withholding issues and promoting knowledge sharing in virtual communities.

[Purpose/Significance] This paper deeply analyzes the science and technology (S&T) strategic intelligence value of open-source information in the increasingly complex international situation, to expand the new information research and intelligent library services. [Method/Process] Based on DIKW hierarchical model and the S&T strategic intelligence monitoring service cloud platform technology of the National Science Library, Chinese Academy of Sciences, this paper constructed an open-source S&T intelligence dynamic monitoring and service system in the field of integrated circuits, including the monitoring target data subsystem (data integration), the monitoring information organization subsystem (information organization), the integrated circuit intelligence knowledge organization subsystem (knowledge processing) and the intelligence service subsystem (wisdom abstraction). [Result/Conclusion] Through a series of open-source intelligence services and practices in the integrated circuit field, the feasibility and effectiveness of this research are validated. This research has the value and significance for further development.

[Purpose/Significance] With China’s rapid advancement in scientific and technological capabilities and growth of global influence, competition in science and technology among major countries will undoubtedly become an inevitable and constant challenge in China’s scientific and technological progress. Scientists are the strongest endogenous force to promote the development of national competitiveness. [Method/Process] Based on the biographies and other qualitative materials of Nobel laureates in the natural sciences, this paper adopted the grounded theory and a life course perspective to study the factors influencing top scientists mobility. It comprehensively and systematically revealed the key factors and the mobility path. [Result/Conclusion] External factors influencing scientists’ mobility include research demand, knowledge environment, economic demand and international situation. Internal factors include family life and personal factors. Both external and internal factors can affect the flow intention of scientists through direct paths, and external factors can also affect scientists’ choices through indirect paths. Based on scientists’ country of birth at the time of the award, factors influencing their mobility differ between the loss group and the non-loss group. Finally, this paper obtains implications and puts forward suggestions from five aspects: investment in science and technology, innovation culture, assessment system, social security and emotional identification.

[Purpose/Significance] Social media affordances provide opportunities for healthcare institutions, companies, and individuals at all levels to engage in health science popularization practices on social media. Investigating how elder adults learn and share health science knowledge through intergenerational support is of significant importance. [Method/Process] This study proposed four social media affordances related to human-computer interaction, and interpersonal interaction. This paper constructed a theoretical model for empirical analysis to explore the important role of social media affordances in intergenerational communication, intergenerational knowledge transfer, and knowledge sharing behavior of elders about health science popularization, as well as the moderating effect of self-efficacy. [Result/Conclusion] The results show that intergenerational communication and intergenerational knowledge transfer are positively influenced by aesthetic affordances, self-expression affordances and collaboration affordances. Intergenerational communication and intergenerational knowledge transfer both positively influence the older people’s knowledge sharing behavior about health science popularization. Self-efficacy plays a negative moderating role in the relationship between intergenerational communication and the elders’ knowledge sharing behavior about health science popularization.

[Purpose/Significance] This research aims to explore the main factors influencing the communication effect of cultural tourism short videos, focusing on the information framing and narrative styles, and how these elements trigger emotional effects and further influence audience information adoption and sharing behaviors such as likes, comments, and shares. [Method/Process] Based on the Stimulus-Organism-Response (S-O-R) theory, this research analyzed 1,947 cultural tourism short videos published on the Douyin platform from September 1, 2023, to January 20, 2024. Using regression analysis and moderated mediation tests, the research systematically examined how concretization, local symbol narratives, familial metaphor narratives, and popular group narratives impacted audience information adoption and sharing behaviors, with a particular focus on the mediating role of emotional effects. [Result/Conclusion] The results indicate that concretization positively impact audience information sharing behaviors such as likes, comments, and shares. Fondness emotion mediates the relationship between concretization and these information sharing behaviors, while happiness emotion does not exhibit a significant mediating effect. Familial metaphor narratives positively moderate the effect of concretization on fondness emotions, whereas popular group narratives negatively moderate this relationship. This research extends the application of media framing theory to cultural tourism short videos and validates the moderating effects of different narrative styles on emotional outcomes, providing practical guidance for content creation in this domain.

[Purpose/Significance] The Altmetrics data generation process is explained from the perspective of information behavior. Based on this, discovering, identifying and digging out the main dilemmas in the development of Chinese Altmetrics can provide important references and practical guidance for fostering the application scenarios of Altmetrics in Chinese academic ecology. [Method/Process] Taking the process of Altmetrics proposal and connotation transmutation as the logical starting point of the research, this paper analyzed the generation process of Altmetrics data from the perspective of user information behavior, and combined the special characteristics of Chinese online social platform environment. It summarized the development dilemmas of Chinese Altmetrics and put forward corresponding countermeasure suggestions. [Result/Conclusion] Altmetrics data is the result of the information behavior of various stakeholders relying on network platforms. On the one hand, it reflects the accumulation of data in each stage of the life cycle of a single user’s information behavior, and on the other hand, it reflects the synergistic and overlapping emergence process of the information behavior of a large number of stakeholders centered on the network platform. The alienation of scientific communication function is the main reason for the predicament of Chinese Altmetrics development, which is centrally manifested in: the lack of endogenous motivation for Altmetrics development, the lack of consensus among the relevant stakeholders for Altmetrics development, and the lack of data aggregation tools for Altmetrics development. Countermeasures can be taken to break through the Altmetrics development dilemma by building multiple incentives and synergistic mechanisms, strengthening consensus and collaboration, and building an intelligent data integration and analysis platform.

[Purpose/Significance] Library consortia are currently facing slow development and weakened services. “Reconstruction,” as an effective solution for the smart transformation of library consortia, can drive them to form new service models and technical solutions. The reconstruction can help meet the growing demands of users and society for information and knowledge by building specific implementation processes. [Method/Process] This paper employed literature review and case analysis to outline an implementation pathway for smart library consortium reconstruction. It analyzed cases of smart library consortia, discussed potential implementation paths for their reconstruction, and provided a basis for improvement and refinement. [Result/Conclusion] Based on next-generation library service platforms, the smart reconstruction of library consortia can be achieved through several key areas: system selection, personnel allocation, service design, migration, and maintenance. Detailed migration plans for member libraries are essential, alongside a broader alliance strategy. Future efforts should be further emphasized technological innovation and collaborative alliance endeavors.

[Purpose/Significance] The transformation of production and lifestyle brought about by the digital intelligence era requires the comprehensive improvement of citizens’ digital literacy. The construction of the national digital literacy framework aims to enhance the overall quality of citizens. [Method/Process] Guided by the Action Plan for Enhancing National Digital Literacy and Skills, this paper constructed a framework of the China’s national digital literacy in the digital intelligence era. It included 6 primary indicators such as digital ethics, connection, social interaction, consumption, production, and decision-making, as well as 24 secondary indicators. 2719 participants were selected for empirical research. [Result/Conclusion] The research results indicate that the overall digital literacy level of Chinese citizens is relatively good. However, there are also issues such as insufficient digital connection and digital production capabilities, inadequate emphasis on digital literacy education in universities, significant performance differences across different age groups, the persistent challenge of urban-rural disparities, inadequate adaptability of digital literacy development strategies, and the lack of a comprehensive digital literacy training system at the social level. In this regard, the research proposes to strengthen the supervision of digital consumption behavior and positive guidance for digital production, continuously expand the digital literacy education function of universities, foster a harmonious, positive digital culture and a green, healthy online environment across all dimensions, consolidate the foundation of digital literacy education in rural and remote areas, formulate local digital literacy development strategic plans, and enhance cooperation among all sectors of society in fostering digital literacy.

[Purpose/Significance] By developing a user experience scale for mobile short video APP, this paper provides reliable suggestions for the sustainable development of mobile short video APP. [Method/Process] Based on the theory of perceived affordance, a qualitative scale was constructed based on literature research and group discussion. The scale was quantitatively optimized through pre-investigation, and data were obtained through formal investigation. Exploratory factor analysis and confirmatory factor analysis were carried out on the effective data, and the formal scale was revised and formed. [Result/Conclusion] The formal scale includes five main dimensions, 10 sub-dimensions and 30 items, including perceived physical affordance, perceived cognitive affordance, perceived emotional affordance, perceived control affordance and perceived interaction affordance. It is used to measure the user experience level of mobile short video APP.

[Purpose/Significance] From the dual perspectives of preprint platforms and librarians, this paper aims to elucidate the current situation, impact, and library strategies for preprint review and refereed preprints, providing references for Chinese preprint platforms to conduct preprint review. [Method/Process] Using online research methods, this paper analyzed the concepts, emerging characteristics, and impacts of preprint review and refereed preprints on traditional scholarly communication systems. It then examined the implications for libraries and corresponding strategies from a library perspective. [Result/Conclusion] Preprint review and refereed preprints have influenced the resource construction and preservation of libraries, changing users’ research information needs, and affecting the direction of libraries’ and librarians’ endeavors in open access. Libraries, which are not only the promoters, builders and operators of preprints and preprint platforms, but also the funders and technical supporters of preprint review services, should actively engage in metadata development, indexing tool creation, coordinating in preprint review, and conducting relevant trainings to support its healthy development and promote a virtuous cycle in the scholarly communication ecosystem.

[Purpose/Significance] Generative artificial intelligence is an important driving force for the development of new quality productivity, but it faces increasingly serious issues such as data security, which urgently need to be actively governed. Reviewing the literatures on generative artificial intelligence data governance is of great significance for the practice and strategy research in this area. [Method/Process] This paper summarized the literatures on generative artificial intelligence data governance at home and abroad, and analyzed the main viewpoints and research results on data risks, challenges, governance principles, and governance paths closely related to it. [Result/Conclusion] Current research primarily focuses on the data risks and governance challenges brought by generative artificial intelligence, with diverse research perspectives and a general consensus on these issues, giving rise to a new proposition for data governance. However, in the strategy research, there is a tendency towards fragmented topics, and a lack of consensus on governance concepts and propositions, which overlooks the globalization of generative artificial intelligence data governance and a single research perspective. Future research should strengthen the following areas: leveraging the self-regulation role of industry entities, participating in and promoting international cooperation on data governance, building a diverse and collaborative data governance culture, and developing Chinese solutions for generative artificial intelligence data governance.