The formal signing of the Global Digital Compact provides a comprehensive, inclusive and forward-looking strategic framework for addressing key issues such as global digital governance, data management, and the ethical use of digital technologies. It fully reflects the United Nations’ ambition to advance digital governance, and has a profound impact on the future actions of member states and stakeholders. This paper adopts an “issue-policy-politics” analytical framework to examine the origins of the Global Digital Compact, emphasizing its significance as a milestone in reshaping global digital governance. It systematically summarizes the core content of the contract from four dimensions — objectives, framework, implementation, and security—highlighting its applicability and operability as an inclusive global governance framework. It also analyzes its far-reaching political, economic, and social impacts, exploring its role in enhancing national digital governance capabilities, promoting industrial digital transformation, and fostering the construction of a smart society.

With the renaming of the first-level discipline from “Library, Information and Archives Management” to “Information Resource Management”, there is a pressing need to reassess and improve the construction of Library and Information Science (LIS) in China. The construction model of LIS plays a crucial role in shaping the future discipline’s development. This study adopts literature review, network research and comparative analysis to explore the current situation of regional distribution, key stakeholders and cooperation models in the LIS field. Based on these findings, this study analyzes our characteristic LIS construction model. The construction model of LIS in China should be based on the existing internal and external needs and opportunities. Introducing the concept of structural empowerment, this study applies it to LIS construction, focusing on regional, subject, and cooperative empowerment. The goal is to refine the LIS construction model and promote the high quality development of the LIS discipline in China.

This paper provides a comprehensive and intuitive overview of the progress and evolution of library technology application research in China, based on an analysis of CSSCI-indexed papers from CNKI published between 1998 and 2024. The study employs Sentence-BERT and Dynamic Topic Models (DTM) to extract semantic and thematic features from the texts. Utilizing the K-means algorithm for topic clustering, it examines thematic evolution from a macro perspective. A co-occurrence network of key terms is subsequently constructed to analyze focal points at different stages from a micro perspective. The findings reveal that library technology application research in China centers on nine major themes, and identify five distinct phases of development. The study highlights the substantial influence of emerging technologies in driving advancements in the field. The research closely tracks technological developments, actively investigating new applications of these technologies in libraries, with the aim of enhancing efficiency, intelligence, and personalized services.

The research explores the heterogeneity of attitudes and behaviors of teachers in the field of information resource management in universities towards Generative AI tools, with the aim of identifying potential categories that could promote the broader application of these tools in higher education and research. Based on the technology acceptance model, planned behavior theory, and social AI cognition, a perception model is developed to assess attitude and behavior towards the use of Generative AI tools. Data is collected through questionnaires, and the latent profile analysis method is used to identify categories of teacher perceptions. The influence of demographic factors on these potential categories is also explored. The findings reveal three potential categories: high-perception, positive adoption users; limited-perception, strategic exploration users; and low-perception low-trust users. There is a significant difference in the proportion of teachers in each category across universities, with both homogeneity within the categories and heterogeneity between categories. These categories have the possibility of mutual transformation. Gender, age, and disciplinary background are key influencing factors. The differences stem from psychological attitudes towards technological innovation and responses to the social environment. Based on these insights, targeted strategies can be developed to promote the wider and deeper application of Generative AI tools in universities.

The use of artificial intelligence-generated content (AIGC) in scientific research is expanding rapidly due to the development of AI technology. Graduate students are also using these tools more frequently in their research processes. It is necessary to analyze the influencing factors so as to encourage the rational application of AIGC tools in scientific research. In this study, we conducted semi-structured in-depth interviews with 26 graduate students in the field of information resources management, applied grounded theory for coding, and constructed a model of influencing factors. Our finding revealed seven primary factors that affect AIGC tool usage: academic requirements, task characteristics, technical environment, technical experience, personal traits, and technical quality. Additionally, we analyzed the underlying mechanisms through which these factors shape research behavior.

In the era of generative AI, building generative artificial intelligence resource navigation in university libraries is of paramount importance and serves as one of the key methods for conducting AI literacy education. Using online research methods and content analysis, this study reviews the application status of generative artificial intelligence LibGuides across 30 top research university libraries in the United States. The analysis focuses on how these guides address key areas such as basic usage, scientific research, course instruction, assessment and evaluation, ethical issues, and other reference materials. Based on the findings, the study offers recommendations for Chinese university libraries on building generative AI resource navigation. Key suggestions include accelerating the construction of generative AI resource navigation, continuously updating generative AI resource content, enriching the content and forms of AI literacy education, and enhancing the AI literacy and skills of librarians.

Conducting research on the peer review mechanism for data papers can ensure the quality and academic exchange of data-driven research, as well as advance the theoretical framework of peer review. This article uses the online research method to analyze peer review guidelines published by 10 representative data journals, explores the peer review mechanism of data papers in foreign journals from four aspects: stakeholders, methods, procedures, and content. The findings highlight four main characteristics of the peer review process for data papers: specialized reviewers, diverse review methods, transparency in the review process, and comprehensive review content. Five recommendations are proposed for improving the peer review process for data papers in China: clarifying review principles, emphasizing the thoroughness of review content, optimizing the selection of peer reviewers, encouraging open peer review, and standardizing the peer review process.

Service learning is an important practice in university education, which enables institutions of higher learning to combine the basic functions of research and learning with meaningful community service. There are still some problems in the development of service-learning programs in college libraries in China. Identifying these challenges and building an appropriate evaluation system are critical issues. This paper examines typical cases of service learning carried out by college libraries in China, and evaluates them through Kott’s Self-Evaluation Guidelines for Academic Libraries’ Service-Learning Programs, a framework used by college libraries internationally. The study identifies existing problems and suggests potential directions for the future development of service-learning programs in college libraries in China. It also offers insights into building an evaluation system for these programs.

Chinese intangible cultural heritage is a treasure of Chinese culture, a gene of national culture, and an important component of human civilization. In order to strengthen the research and interpretation of intangible cultural heritage and unleash its social function, this article takes embroidery, a prominent example of such heritage, as an example. By examining key historical events through the lens of cultural space, it constructs a knowledge graph to reveal the development and historical influencing factors in the evolution of embroidery as an intangible cultural heritage. This approach not only provides new methods for the study of intangible cultural heritage, but also promotes the rational utilization of intangible cultural heritage of embroidery.

The large language model has changed the natural language processing and is enhancing the computational analysis of historical texts. Taking the Baichuan Large Language Model as the benchmark model and using the text of the book series Biographies of Chinese Thinkers as the data source, the Thinkers Model was constructed by using domain-specific pre-training, supervised fine-tuning, and direct preference optimization, whereas the performance was evaluated. Evaluation results show that the Thinkers Model outperforms general models in this specialized domain, demonstrating its potential in computational humanities research. The Thinker Model reduces the professional barriers to knowledge exchange and can address challenges in natural language interpretation within computational humanities research.

In 1933, the Dream of the Red Chamber and the Lone Swan (Selections), published by Shanghai Pei-sin Book Co, Ltd, has been regarded as an important translated and edited version in the history of the English renditions of Hong Lou Meng. However, this version has not been profoundly studied by academics so that the relevant discourse about it is full of fallacies. Based on the original documents, it can be found that the translations of Hong Lou Meng in Pei-sin version are totally selected from the abridged English version Dream of the Red Chamber (1929) by Wang Chi-chen. Therefore, Yuan Jiahua and Shi Min are selectors and glossators, but not translators. The base text of Wang’s version is the Cheng Jia edition Hong Lou Meng, but the base text of the Chinese characters in Pei-sin version is the Cheng Yi edition Hong Lou Meng. In the whole work, Yuan and Shi selected renditions, named and translated the chapter titles, edited Chinese manuscripts, and wrote 153 annotations and 18 commentaries. Although the Hong Lou Meng selected and annotated by Yuan and Shi is not an independent translation, it still has unique documentary value as an abridged translation from Wang’s rendered text.