The Chinese government invested National Major Science and Technology Infrastructure for Translational Medicine (NITM) is a research platform with large-scale science facilities designed for opening and sharing. NITM is required to share its research facilities to domestic and international users and to facilitate interdisciplinary cooperation and innovation, it is also required to cooperate with other national major science and technology infrastructures so that these infrastructures can work together to enhance the nation’s international competitiveness in science and technology. This paper proposes to apply the concept of open innovation and designs an innovation model for the management of NITM.
Objective To explore the influencing factors of the usage behavior of the scientific research management system and provide references for hospitals in constructing scientific research management systems. Methods Data were collected through questionnaires in April 2024. Based on the unified theory of acceptance and use of technology (UTAUT), the information system success model, and the self-efficacy theory, a research model on the influencing factors of the usage behavior of the scientific research management system among medical staff was constructed from the dual perspectives of users and information systems. The structural equation model was utilized to explore the influencing factors of the usage behavior of the scientific research management system. Results A total of 527 questionnaires were collected. Among them, there were 157 males and 370 females. The overall Cronbach α coefficient of the questionnaire was 0.916, and the KMO value was 0.896. For Bartlett’s test of sphericity (P<0.001). The composite reliability of each latent variable was greater than 0.7, and the average variance extracted was greater than 0.5. Therefore, this questionnaire had good reliability and validity. The research showed that information quality, performance expectancy, effort expectancy, and system quality all had significant positive impacts on the usage intention of users of the scientific research management system (P<0.05). Meanwhile, facilitating conditions and usage intention both had significant positive impacts on the usage behavior of users (P<0.05). Conclusions The construction of the scientific research management system should be guided by management needs, comprehensively sort out the general scientific research work needs of medical staff. Through the apply information-based means, various forms of training, and strengthening policy guidance, the aim is to improve the intelligence level of system operations, enhance the convenience of user self-service, and promote the effective construction of the ecosystem of the scientific research management system.
Objective To analyze the characteristics and changing trends of lung cancer-related projects funded by National Natural Science Foundation of China (NSFC) during 2019–2023, providing a reference for researchers in topic selection and for optimizing scientific research management and resource allocation. Methods Relevant databases, including the NSFC Big Data Knowledge Management Service Platform, were systematically searched to collect information on lung cancer-related funded projects from 2019 to 2023. Quantitative methods were applied to evaluate project categories, funding amounts, and the distribution of host institutions. Project themes were classified according to their titles, keywords, and abstracts, and were subsequently compared with those of projects funded during 2014–2018. Results A total of 1 327 lung cancer-related projects were funded from 2019 to 2023, with total funding of 554.92 million yuan. The Young Scientists Fund and the General Program accounted for 90.3% (1 199/1 327) of the projects and 84.1% (46 675/55 492) of the total funding; the top 10 host institutions comprised approximately 32.0% of all funded projects. Thematic analysis revealed that the core funding directions in the lung cancer field during 2019–2023 focused on molecular mechanisms and signaling pathways. Major research themes included metastasis and recurrence, tumor microenvironment and immunity, and targeted therapy resistance and drug development. Compared with 2014–2018, the proportion of projects focused on tumor microenvironment and immunity, as well as artificial intelligence and medical engineering, increased substantially. Overall, the themes of funded lung cancer projects were dominated by mechanistic studies and demonstrated cross-cutting features intersecting with disease progression, therapeutic resistance, immune regulation, and clinical translation. Conclusion The number of NSFC-funded lung cancer-related projects has continued to grow. Research themes have evolved from pure mechanistic exploration toward immune regulation and translational research, exhibiting characteristics of interdisciplinary integration with emerging technologies and multi-theme cross-fertilization. Researchers are encouraged to align with policy orientations and to emphasize the innovation and translational value of their proposed topics.