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Research Progress in Data Element Markets at Home and Abroad: A Systematic Literature Review WANG Xue, XIA Yikun, PEI Lei Documentation, Informaiton & Knowledge    2023, 40 (6): 117-128.   DOI: 10.13366/j.dik.2023.06.117 Abstract （540）      PDF（pc） （402KB）（1190）       Knowledge map    Save [Purpose/Significance] A systematic review of data element market literature at home and abroad helps to deeply understand the structural composition and operational framework of data element market, grasp its key issues and main ideas, and reveal the current research progress and weaknesses, so as to provide theoretical and practical guidance for strengthening the construction of data element market in China. [Design/Methodology] Adopting the bibliometric analysis method and taking the literature related to the topic of data element market in Web of Science and CNKI as the analysis object, based on keyword co-occurrence and its temporal clustering, this paper analyzes the basic theory of data element market construction, operation mechanism and main viewpoints on the development of data trading institutions at home and abroad in conjunction with the text content. [Findings/Conclusion] Research shows that "data element market" is a hot issue of academic research at home and abroad, mainly focusing on the concept system of data elements, the core issues such as operation of the data element market and data trading platforms. Overall, the research is still in the exploratory stage of research, and there is no consensus on research involving data property rights, pricing, and regulation. The systematic and in-depth study of China's data element market still needs to be improved. [Originality/Value] This paper systematically sorts out the research progress of data element market at home and abroad, summarizes the research characteristics and development direction, which provides a reference for further research. Related Articles | Metrics | Comments（0）

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A New Approach for Information Resources Management Empowered by Data Intelligence: The Concept, Connotation and Development of Instruction Engineering LU Wei, WANG Lei, CHENG Qikai, LIU Jiawei, HUANG Yong Documentation, Informaiton & Knowledge    2024, 41 (1): 6-11.   DOI: 10.13366/j.dik.2024.01.006 Abstract （264）      PDF（pc） （302KB）（1069）       Knowledge map    Save The emerging wave of scientific revolution and industrial transformation is burgeoning, with technologies such as big data and artificial intelligence exerting a profound impact on the information resources management discipline. Under the background of large language models（LLMs）, instruction engineering guides the generation of model results through high-quality, systematic and procedural instruction design, which is an important approach to efficiently leverage the capabilities of LLMs and can be applied to resolve discipline-related issues. This article firstly introduces the concept of instruction engineering, and then thoroughly analyzes the constituent elements and design patterns of instructions, as well as the features and significance of instruction engineering. We also discuss the construction path of instruction engineering empowered information resources management. In the future, research and development in instruction engineering should focus on the construction of both general and domain-specific instruction engineering, standardization, intellectual property protection, security and systematic testing and assessment, aiming to enable instructions to effectively demonstrate their efficacy in complex application scenarios across various industries. Related Articles | Metrics | Comments（0）

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Survey Report on the Development Status of Undergraduate Degree Education in Big Data Management and Application（2023） DENG Shengli, WANG Fan, XIA Sudi Documentation, Informaiton & Knowledge    2024, 41 (1): 69-79,101.   DOI: 10.13366/j.dik.2024.01.069 Abstract （241）      PDF（pc） （646KB）（897）       Knowledge map    Save [Purpose/Significance] This paper conducts a nationwide survey on the development status of undergraduate education of Big Data Management and Applications, with the aim of reflecting its development trends and proposing corresponding suggestions. [Design/Methodology] This study systematically dissected the current situation of the undergraduate education of Big Data Management and Applications in China from six dimensions, including institutions, faculty, enrollment, employment, curriculum system, and training objectives, and reflected the development trends of this major by comparing with previous years. [Findings/Conclusion] As of December 2022, the number of institutions offering this major has reached 183. Most institutions adjust their teaching according to social demands and their own positioning, gradually form their own characteristics while emphasizing professional practice. In addition, the curriculum system of most training institutions do not fully match the training objectives, and courses on big data management and big data applications need to be added. [Originality/Value] This study provides a comprehensive and in-depth analysis of the undergraduate programs in Big Data Management and Applications across the country, reflecting the current development status and existing issues of this major. It serves as a valuable reference for the sustainable development of such specialties. Related Articles | Metrics | Comments（0）

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The Connotation, Value and Application of Data Elements in the Healthcare Field ZHU Qinghua, WANG Xi, ZHAO Yuxiang Documentation, Informaiton & Knowledge    2024, 41 (2): 13-17.   DOI: 10.13366/j.dik.2024.02.013 Abstract （382）      PDF（pc） （259KB）（669）       Knowledge map    Save "The 'Data Elements ×' Three-Year Action Plan（2024—2026）", jointly issued by seventeen national departments, has attracted wide attention from the society. This article firstly examines the core issues, classification and significance of data elements in the healthcare field. Furthermore, the key strategies to promote the integration and innovative use of healthcare data are proposed, including enhancing the collection of healthcare data through technological empowerment, advancing the integration and standardization of healthcare data, promoting the openness and sharing of healthcare data, and strengthening the security protection of healthcare data. Related Articles | Metrics | Comments（0）

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Security Governance of Cross-Border Data Flow Under the Holistic View of National Security XU Yongjun, WANG Xingguang Documentation, Informaiton & Knowledge    2023, 40 (6): 20-30.   DOI: 10.13366/j.dik.2023.06.020 Abstract （269）      PDF（pc） （398KB）（550）       Knowledge map    Save [Purpose/Significance] In the information age with accelerated reconstruction of the global pattern, economic globalization and network globalization are advancing in depth, giving rise to the practice of increasingly frequent cross-border data flow. Strengthening the security governance of cross-border data flow is the proper meaning of implementing the holistic view of national security and promoting the modernization of national security systems and capabilities for China. [Design/Methodology] Using literature research, policy text analysis, case studies and other methods, this research deeply explored the practical difficulties and coping strategies faced by China's cross-border data flow security governance. [Findings/Conclusion] The real dilemmas of China's cross-border data flow security governance are manifested in: the merger of multiple laws, discrete supervision, complex risks and jurisdictional conflicts. Guided by the holistic view of national security, the action strategies to promote the security governance of cross-border data flow include: adhere to the concept of bottom line security, and improve the legal regulation system of cross-border data flow; utilize the concept of common security, and coordinate the security supervision of cross-border data flow; use the concept of overall security, and improve the efficiency of risk management and control of cross-border data flow; practice the concept of international security, and contribute Chinese solutions to global data security governance. [Originality/Value] It points out the practical approach for China to prevent and resolve the non-traditional security risks caused by disorderly cross-border flow of data and strengthen the security governance of cross-border data flow under the background of China's comprehensive implementation of the holistic view of national security. Related Articles | Metrics | Comments（0）

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The Landscape of Social Science in the Era of Large Language Models XIE Tian, QIU Lin, LI Yutong, LUO Yin, LIU Pan Documentation, Informaiton & Knowledge    2023, 40 (6): 6-9,30.   DOI: 10.13366/j.dik.2023.06.006 Abstract （462）      PDF（pc） （266KB）（536）       Knowledge map    Save Large language models（such as GPT）have brought unprecedented breakthroughs in the field of artificial intelligence. In this article, we briefly introduce large language models, and illustrate how such models have been applied in each stage of social science research, including literature review, theory formation, research design, data collection, and data analysis. We envision new research paradigms brought by large language models, and new challenges faced by social science researchers. Related Articles | Metrics | Comments（0）

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Information Framing Effect of Public Policy Dissemination on Short Video Platforms: A Video Content Analysis and Experimentation Based on the "Double Reduction" Policy CHEN Jinghao, NIE Huizi Documentation, Informaiton & Knowledge    2024, 41 (1): 35-45.   DOI: 10.13366/j.dik.2024.01.035 Abstract （182）      PDF（pc） （397KB）（512）       Knowledge map    Save [Purpose/Significance] As an emerging form of Internet information expression, short videos have gradually become important tools for policy dissemination. Exploring the effectiveness of short video platforms in the dissemination of public policy information, as well as the willingness of the audience to adopt them can help enhance the effectiveness of public policy communication. [Design/Methodology] Taking the "Double Reduction" policy as an example, and drawing upon the theories of framing effects and information adoption, this study employs content analysis to summarize the organizational methods of information framework of the "Double Reduction" policy on short video platforms and analyzes the impact of different policy information frameworks on dissemination outcomes. Furthermore, an online controlled experiment is conducted to validate the influence of different policy information frames on audience adoption willingness. [Findings/Conclusion] On short video platforms, nearly 40% of the information use a goal framework, with a majority adopting a loss frame, often from a collectivist perspective and in a non-narrative presentation mode, and the goal framework, cultural framework and narrative framework do not have significant impact on audience's comments, shares, or likes. For the "Double Reduction" policy information, the loss frames, gain frames, collectivist and individualist values, as well as narrative and non-narrative elements, all enhance the audience's willingness to adopt. Additionally, there is an interactive effect between the goal framework and the cultural framework. [Originality/Value] The research conclusions provide valuable insights for policy propaganda departments and related government agencies to optimize policy dissemination strategies and improve dissemination effectiveness. Related Articles | Metrics | Comments（0）

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Developing an Evaluation Index System and Its Testing Questions for Government Intelligent Q&A Systems WANG Fang, WEI Zhonghan, LIAN Zhixuan Documentation, Informaiton & Knowledge    2023, 40 (6): 98-111.   DOI: 10.13366/j.dik.2023.06.098 Abstract （269）      PDF（pc） （439KB）（500）       Knowledge map    Save [Purpose/Significance] Intelligent question and answer（Q&A）system is becoming an important facility for public services delivery. The purpose of this study is to promote the construction of government intelligent Q&A systems by evaluation, and reduce the administrative burden of citizens. [Design/Methodology] Firstly, based on literature research, theoretical analysis and case study, an evaluation indicator system for government intelligent Q&A system was constructed, and the indicator weight was determined by expert survey and AHP method. Secondly, a testing question set for problem solving quality was developed based on the hot consultation issues. Finally, 30 provincial government Q&A systems in China were evaluated with the indicator system and the matched questions. [Findings/Conclusion] The evaluation index system of government intelligent question and answering system includes three dimensions, namely, the quality of problem solving, the quality of service interaction, and the quality of infrastructure construction, as well as 18 refined indicators, such as the rate of high-frequency question answering, the rate of synonymous question answering, and the number of interactions. The testing question set includes five categories of questions: high-frequency, synonymous, error, ellipsis, and English ones. The practical evaluation proves the usability and effectiveness of the indicator system and testing questions set. [Originality/Value] This study constructs an evaluation index system for government intelligent Q&A systems from the perspective of reducing administrative burden, compiles testing question sets using text mining technique, and proves their usability through an actual evaluation. Related Articles | Metrics | Comments（0）

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The Underlying Mechanism of Knowledge Adoption Intention of Short-Form Videos Concerning the Challenge-Skill Balance Feature in the Vision of Flow Theory WANG Yanyan, ZHANG Lei Documentation, Informaiton & Knowledge    2024, 41 (1): 12-24.   DOI: 10.13366/j.dik.2024.01.012 Abstract （203）      PDF（pc） （457KB）（447）       Knowledge map    Save [Purpose/Significance] Knowledge-based short-form videos have been widely used by the general public. This study aims to explore the mechanism of knowledge adoption intention of short-form videos in the vision of flow theory. [Design/Methodology] Based on flow theory and Information Adoption Model, this study designed controlled experiments, collected data via questionnaire, and explored the mechanism of knowledge adoption intention by PLS-SEM. [Findings/Conclusion] The flow experience positively influences the perceived usefulness and knowledge adoption intention directly, negatively moderates the positive influence of video quality on perceived usefulness, and positively moderates the positive influence of perceived usefulness on knowledge adoption intention. In the high skill state and high flow state, users' knowledge adoption intention is influenced by both the information content path and the flow experience path and in the high challenge state, it is only influenced by the information content path. [Originality/Value] This study applies flow theory to the study on users' knowledge adoption intention when watching short-form videos, and proposes a short-form video knowledge adoption intention generation model. Also, the complex relationships between the flow experience, knowledge adoption and image cognition are discovered in this study. Related Articles | Metrics | Comments（0）

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The Impacts of IP Localization Policy on Public Opinion Comments: A Quasi-natural Experiment Based on the Display of IP Location on Weibo Users LE Chengyi, KONG Weiwei, DUAN Nannan Documentation, Informaiton & Knowledge    2024, 41 (1): 46-57.   DOI: 10.13366/j.dik.2024.01.046 Abstract （190）      PDF（pc） （584KB）（427）       Knowledge map    Save [Purpose/Significance] It can provide useful enlightenment for online public opinion research, platform optimization and governance to empirically evaluate whether and how the display of IP localization policy affect public opinion comments.[Design/Methodology] Based on self-monitoring theory and privacy calculus theory, the research model and hypothesis were constructed. Taking the launch of the "IP localization" function of Weibo as the quasi-natural experiment, the method of Difference-in-Difference（DID）and breakpoint regression model were used to explore the policy effect of IP localization policy on public opinion comments. [Findings/Conclusion] The policy induces the effect on users' self-monitoring and users' risk perception, which not only improve the overall affective tendency, readability and empathy of comments, but also significantly inhibites the affective polarity of comments. This conclusion is still valid after a series of robustness tests. The policy effect is significantly different among different user groups. Compared with the users in the hot center of the event, the display of IP location can prompt the users in the non-hot center to make changes. The policy also exacerbates geographic discrimination in comments. [Originality/Value] This study reveals the impacts of IP localization policy on public opinion comments, povides a new perspective for improving the internet environment, and enriches the relevant research in the field of IP localization and the influencing factors of public opinion comment behavior. Related Articles | Metrics | Comments（0）

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Research Progress on Integration Development of Public Cultural Services and Tourism at Home and Abroad WANYAN Dengdeng, YIN Jiao, LIU Wenyan Documentation, Informaiton & Knowledge    2024, 41 (1): 92-101.   DOI: 10.13366/j.dik.2024.01.092 Abstract （276）      PDF（pc） （364KB）（310）       Knowledge map    Save [Purpose/Significance] This study aims to summarize the research progress of the integration development of public cultural services and tourism at home and abroad, and to provide references for the future research. [Design/Methodology] The article uses the methods of keywords search and citation tracing to systematically collect the relevant literatures at home and abroad and summarizes the research topics through detailed reading and analysis of the contents of these literature. [Findings/Conclusion] The foreign research topics include five aspects: the interaction between public cultural services and tourism, the tourism potential and limitations, tourism services, tourism models of public cultural venues, and the evaluation of the integration development of public cultural venues and tourism. The domestic research topics include five aspects: the relationship between public cultural services and tourism, the function expansion, the resource construction, the service provision of public cultural venues under the background of cultural and tourism integration, and the integrated development model of public cultural services and tourism. This paper compares domestic and foreign studies and puts forward some suggestions for the future development of our country. [Originality/Value] This article sorts out and reviews relevant literature on the integration of public cultural services and tourism at home and abroad, and draws out the aspects of the foreign research that are worthy we reference. Related Articles | Metrics | Comments（0）

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A Review of Research on Digital Reading Cognitive Mechanisms from the Perspective of Cognitive Neuroscience LIU Yieping, YUAN Xiaoqun Documentation, Informaiton & Knowledge    2023, 40 (6): 129-139.   DOI: 10.13366/j.dik.2023.06.129 Abstract （221）      PDF（pc） （371KB）（306）       Knowledge map    Save [Purpose/Significance] Digital reading is a complex cognitive process, whose internal mechanisms may be revealed by these works of the cognitive neuroscience. A systematic review of these works may help understand the mental processes and cognitive functions of digital reading deeply and provide a reference for future research. [Design/Methodology] From the perspective of the cognitive neuroscience, 247 digital reading works at home and abroad were collected. Based on existing cognitive theories, a framework model of digital reading cognitive mechanism was proposed and applied to study these collected literatures. [Findings/Conclusion] The cognitive process of digital reading consists four stages: attention attraction, recognition focus, association reasoning and learning construction. The application of functional Magnetic Resonance Imaging, Event-Related Potentials, and Eye Tracking may help understand reading brain's working mechanism. Although current studies have proposed applicable methods on analyzing digital reading cognitive processes and neural indicators of digital reading, there is a lack of systematic study on the influence of sensory interaction, functional interactions between brain area and communication interaction factors. [Originality/Value] The work provides a picture of the digital reading cognitive mechanism from the cognitive process to neurological foundations, and analyzes the basic context and shortcomings of existing studies, which may help people understand the cognitive process of digital reading and figure out the direction of future research. Related Articles | Metrics | Comments（0）

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Looking into the LIS Internationalization and Information Integration from the Perspective of iSchools Organization: An Interview with iSchools’ Executive Director Prof. Michael Seadle Michael Seadle, Interviewer: ZHOU Lihong, WANG Di Documentation, Informaiton & Knowledge    2023, 40 (6): 10-19.   DOI: 10.13366/j.dik.2023.06.010 Abstract （176）      PDF（pc） （403KB）（305）       Knowledge map    Save Related Articles | Metrics | Comments（0）

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The Cultivate Road of "Intelligence Science +" Digital Intelligence Talents in the New Era ZHANG Haitao, ZHANG Xinrui, ZHANG Chunlong, LUAN Yu Documentation, Informaiton & Knowledge    2024, 41 (1): 58-68.   DOI: 10.13366/j.dik.2024.01.058 Abstract （146）      PDF（pc） （421KB）（302）       Knowledge map    Save [Purpose/Significance] Under the background of the era of digital intelligence, the discipline of intelligence science is required to integrate into the new era and actively explore the path of cultivating digital intelligence talents. [Design/Methodology] From cognition to application, the research plans the cultivation road of "Intelligence Science +" digital intelligence talents.It clarifies the cultivation system, focusing on the construction of the model of core literacy of talents as well as the thought on the cultivation path of talents, and demonstrates the localization, specialization, and wisdom of the cultivation of intelligence science education.[Findings/Conclusion] In the future, the discipline of intelligence science should be committed to cultivating composite and applied intelligence talents who are able to serve various work fields and research situations in the new era, and continuously explores a more complete closed loop of talent cultivation. [Originality/Value] This paper holds that Chinese philosophical thought provides the theoretical thoughts and practical paths for the cultivation of intelligence talents in the new era, reflecting not only the practical value of philosophical thought but also the reference value for the future development of the discipline of intelligence science. Related Articles | Metrics | Comments（0）

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When We Talk About Data Sovereignty：From a Literature Review LIU Yan Documentation, Informaiton & Knowledge    2023, 40 (6): 31-41.   DOI: 10.13366/j.dik.2023.06.031 Abstract （230）      PDF（pc） （358KB）（290）       Knowledge map    Save [Purpose/Significance] The purpose of this study is to delineate the domestic and international research landscape of data sovereignty, achieve a broad consensus on the understanding of data sovereignty, eliminate existing or potential misunderstandings and misuse related to data sovereignty, and uncover current research limitations while proposing pathways for future research. [Design/Methodology] Employing content analysis method, the study designs a research framework for textual analysis that spans from the evolution of concepts to connotations, values, subjects, powers, and applications. It compiles data sovereignty literature from both domestic and international sources, showcasing the academic community's level of understanding regarding data sovereignty. [Findings/Conclusion] Data sovereignty is often intertwined with control and governance of data flow. Historically, the academic community has exhibited a strong sense of sovereignty awareness and acute risk perception, and attaches great importance to cyber security. However, this has also revealed issues such as limited theoretical research, simplistic risk exploration, and difficulties in implementing security recommendations. There is a need to delve deeper into the legal exploration of data sovereignty, investigate the inherent logic of its risks, and thoroughly study solutions and strategies for its security development. [Originality/Value] By reviewing data sovereignty research from domestic and international sources, this study preliminarily defines the concept of data sovereignty and the primary concerns when discussing it. Building upon the summary of current research deficiencies, it proposes directions for future research enhancement. Related Articles | Metrics | Comments（0）

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The Design of Artificial Intelligence Curriculum for Information Resources Management Under the New Liberal Arts PAN Yuchen, HU Wei, YANG Jianliang, XU Lu, LU Xiaobin Documentation, Informaiton & Knowledge    2023, 40 (6): 42-51, 67.   DOI: 10.13366/j.dik.2023.06.042 Abstract （212）      PDF（pc） （358KB）（275）       Knowledge map    Save [Purpose/Significance] This study aims to explore the design principles and strategies of the artificial intelligence curriculum system in the discipline of information resources management. It seeks to innovatively integrate AI knowledge and methods into the teaching system of information management to promote educational reform in the field of information management under the context of New Liberal Arts. [Design/Methodology] Through literature review, as well as the investigation of curriculum plans and course descriptions in different colleges of iSchools, this study proposes and discusses the prioritization and dynamic standards of designing an AI curriculum system based on disciplinary specificity. [Findings/Conclusion] The research argues that the construction of AI curriculum system in the discipline of information resources management should follow the principles of differentiation, dynamism and applicability. In terms of teaching practice, it suggests the establishment of a customized curriculum content system, teaching methodology system and assessment management system specifically tailored to AI courses for information management majors. Furthermore, it emphasizes the need to deeply integrate the AI knowledge system with the existing course clusters in information management. [Originality/Value] Combining the cutting-edge development in the field of information resources management, this study provides a general approach and exemplar for the design of an undergraduate AI curriculum system in this discipline. Related Articles | Metrics | Comments（0）

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Survey Report on MLIS Program Development in China（2022） DUAN Yufeng, SHANG Duxin Documentation, Informaiton & Knowledge    2023, 40 (6): 52-60.   DOI: 10.13366/j.dik.2023.06.052 Abstract （301）      PDF（pc） （322KB）（258）       Knowledge map    Save [Purpose/Significance] In 2022, the Education Steering Committee Secretariat of MLIS has conducted the tenth survey of national MLIS education development status, which aims to reveal the current status and development trend of MLIS education in China. [Design/Methodology] This study investigated MLIS education institutions to collect the data about faculty, enrolment, cultivation and employment through questionnaires, and demonstrated the status of development of MLIS education by comparing with historical data. [Findings/Conclusion] The survey report of 75 MLIS training institutions indicates a stable and rapid development of the MLIS education in China, which is demonstrated by the steady growing number of faculty, small drop in enrolment numbers, the optimistic employment situation of graduates, and the increasing standardization of the set of curriculum system, the construction of educational resource and the management of culturing process of each training unit. [Originality/Value] The reports on the development of MLIS education in China have been consecutively published for ten years. Compared with previous surveys, this survey report additionally extracted the main content of "Basic Requirements for Professional Dissertation of Master of Library and Information Science". Related Articles | Metrics | Comments（0）

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Literature Review on Evaluating Methods Research of Coauthor Contributions XUE Jie, LI Hanyu, WU Zhenxin Documentation, Informaiton & Knowledge    2024, 41 (2): 100-109.   DOI: 10.13366/j.dik.2024.02.100 Abstract （135）      PDF（pc） （492KB）（258）       Knowledge map    Save [Purpose/Significance] To provide reference for the follow-up research on the evaluation of scientific and technological talents,this paper aims to conduct a literature survey on evaluating methods research of coauthor contributions, and summarize the shortcomings and the future development directions of the research. [Design/Methodology] We searched relevant literature in academic platforms: Web of Science, Springe Link and CNKI from 2010 to 2023, summarized and combs the literature from three aspects: traditional evaluation method, the evaluation method based on author contribution statement and the evaluation method based on research output. [Findings/Conclusion] Although a wealth of research outputs in the field of the evaluation methods of coauthor contributions have been obtained,but there are still some deficiencies.The future research should be carried out considering many aspects: further exploring the influence of academic background factors,such as the author's research field and academic keywords, digging deep into the semantic feature relationship of citations, and strengthening the application of new models and new algorithms,such as machine learning, deep learning et al. [Originality/Value] This article reveals the development process,characteristics of the evaluation methods research of coauthor contributions, and further expounds its future development direction. Related Articles | Metrics | Comments（0）

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Annual Contents 2023 Documentation, Informaiton & Knowledge    2023, 40 (6): 149-152.   Abstract （196）      PDF（pc） （232KB）（257）       Knowledge map    Save Related Articles | Metrics | Comments（0）

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Current Advances of Time Series Analysis in Information Science: Tasks, Processes and Problems CHEN Guo, WANG Kaiyue Documentation, Informaiton & Knowledge    2023, 40 (6): 89-97,116.   DOI: 10.13366/j.dik.2023.06.089 Abstract （247）      PDF（pc） （357KB）（233）       Knowledge map    Save [Purpose/Significance] This paper aims to examine the current research progress in time series analysis within the field of information science and provide a comprehensive overview of common challenges, ultimately serving as a valuable reference for the advancement of modeling and prediction in information science research. [Design/Methodology] This study summarizes the application tasks, research processes and prevalent issues pertaining to time series analysis in information science research, specifically focusing on tasks, processes and problems. [Findings/Conclusion] The findings reveal that, in terms of tasks, existing research has successfully applied time series analysis in various scenarios such as subject theme evolution, academic influence evaluation, network sentiment analysis, and technology trend analysis. The application scope predominantly encompasses historical evolution and future prediction. Regarding the research processes, existing studies primarily follow a sequential order encompassing time series data selection, time segmentation methods, morphological pattern mining, prediction and evaluation. In terms of problems, future research should prioritize the development of time series models for short sequences and enhance the evaluation of time series analysis outcomes. [Originality/Value] Through a comprehensive review, this paper provides a comprehensive overview and reference for researchers in the field by systematically summarizing current research on time series analysis in information science through a comprehensive compendium. Related Articles | Metrics | Comments（0）

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Integrative Development of the Discipline of Ancient Books Preservation and Conservation from the Perspective of New Liberal Arts: Disciplinary Category, Knowledge System and Curriculum Provision LI Mingjie WANG Wanlin Documentation, Informaiton & Knowledge    2023, 40 (6): 68-78.   DOI: 10.13366/j.dik.2023.06.068 Abstract （127）      PDF（pc） （368KB）（232）       Knowledge map    Save [Purpose/Significance] The sustainable development of the preservation and conservation of ancient books in China has put forward an urgent requirements for the cultivation of relevant talents. Under the context of vigorously promoting the construction of new liberal arts, it is imperative to build and develop the discipline of ancient books preservation and conservation from the perspective of multidisciplinary integration. [Design/Methodology] Through a comprehensive survey and analysis of discipline establishment and curriculum provision of 26 institutions currently offering majors（or research directions）in ancient books preservation and conservation,this paper gave a theoretical explanation of the disciplinary category from discipline connotation, disciplinary boundary and disciplinary construction, and constructed a disciplinary knowledge system and curriculum provision from the perspective of integrative development of new liberal arts. [Findings/Conclusion] The discipline of ancient books preservation and conservation is an applied discipline about how to protect the entity and content of ancient books, inherit the knowledge and woodblock printing techniques and other intangible cultural heritage of ancient books.Its knowledge system mainly consists of ancient books ontology, ancient books identification,ancient books cataloguing and classification,and the theories, methods and technologies of protecting ancient books.The discipline curriculum is set at three levels: original preservation, regenerative preservation and inheritance conservation, reflecting the integration of multi-disciplinary knowledge of philology, literature, printing science, binding science, materials science, biology, chemistry, museology and cultural relics and so on. [Originality/Value] The definition of discipline category and the construction of discipline knowledge system and discipline curriculum are of reference value to the multidisciplinary integration development of the discipline of ancient books preservation and conservation under the context of new liberal arts. Related Articles | Metrics | Comments（0）

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Constructing Content Framework for Artificial Intelligence Literacy Instruction in China from a Global Perspective HUANG Ruhua, SHI Leyi WU, Yingqiang CHEN, Tian Documentation, Informaiton & Knowledge    2024, 41 (3): 27-37.   DOI: 10.13366/j.dik.2024.03.027 Abstract （201）      PDF（pc） （386KB）（227）       Knowledge map    Save [Purpose/Significance] The aim of this study is to construct a more universal and novel content framework for artificial intelligence literacy（AIL）instruction. [Design/Methodology] We referenced globally influential AIL frameworks, reports from international organizations, international standards, policies of several leading countries（regions）, China's national strategic needs, employers' demands for AI talent, academic papers, trends from globally renowned enterprises, and the content of existing AIL education courses. Through this, the composition and basis of the AIL instruction content framework were analyzed. [Findings/Conclusion] The AIL instruction content framework in China is composed of four major parts: AI cognition, AI skills, AI application, and AI ethics. [Originality/Value] Unlike similar domestic achievements that mainly derive AIL frameworks from academic papers, this study integrates global academic data from multiple sources to construct an AIL instruction content framework that is both operational and valuable for practical guidance. Related Articles | Metrics | Comments（0）

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The Impacts of Competitive Function Repertoires of Online Platform Creators on Their Content Adoption : Empirical Tests from the Video Barrage Platform FU Shaoxiong, ZHU Mengdie, DENG Shengli, ZHENG Han Documentation, Informaiton & Knowledge    2024, 41 (1): 25-34.   DOI: 10.13366/j.dik.2024.01.025 Abstract （177）      PDF（pc） （494KB）（226）       Knowledge map    Save [Purpose/Significance] The purpose of this study is to provide new ideas for optimizing the content generated by online platform creators and improving adoption rate of online platform content. [Design/Methodology] We extended the competitive repertoire theory, which had traditionally been applied in the research of competitive strategy portfolio of enterprises, to the context of online platforms. Taking the video barrage platform 'Bilibili' as an example, based on captured second-hand data, this study analyzed the impacts of competitive function repertoire volume, complexity, and heterogeneity on the content adoption of creators. [Findings/Conclusion] The competitive function repertoire volume and heterogeneity significantly positively affect the content adoption of online platform creators, while the competitive function repertoire complexity significantly negatively affects the content adoption of online platform creators. At the same time, the effects of the competitive function repertoire volume, complexity and heterogeneity are interactive. [Originality/Value] This study provides references for optimizing the content ecology of video barrage platforms. It further improves the content adoption rate of creators, and enriches and improves the theoretical and practical systems of research on user behavior and information service. Related Articles | Metrics | Comments（0）

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Value Chain Reconstruction of Cultural Product Property Rights Under the Data-driven Background CONG Ting, FENG Siqi, LI Xiang, GAO Yuanzhuo Documentation, Informaiton & Knowledge    2023, 40 (6): 140-148, 111.   DOI: 10.13366/j.dik.2023.06.140 Abstract （167）      PDF（pc） （371KB）（198）       Knowledge map    Save [Purpose/Significance] This paper aims to study the mechanism and implementation path of reconstructing the value chain of cultural product property rights under the background of data-driven. [Design/Methodology] Combined with the existing cultural industry value chain and other related concepts, the concept of value chain of cultural product property rightsis defined, and its constituent elements are analyzed from the perspective of system theory. [Findings/Conclusion] Based on the needs and objectives of the value chain reconstruction of cultural product property rights, this research focuses on revealing the mechanism of data-driven value chain reconstruction, emphasizing that data-driven technology fully empowers the whole value chain of cultural product property rights, drives the whole chain upgrading of the value chain of cultural product property rights based on blockchain big data, and promotes the birth of a new parallel value chain with data elements as the core. The realization path of value chain reconstruction is proposed from the aspects of value generation, value circulation and value realization. [Originality/Value] This paper constructs a three-stage model of the value chain of cultural product property rights, puts forward a triple mechanism of the value chain reconstruction of cultural product property rights under the background of data-driven, and combines the three-stage model to analyze and reconstruct the realization path, so as to provide a basic analysis framework for related research. Related Articles | Metrics | Comments（0）

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Identification Methods of Artificial Intelligence Generated Content in Online Communities DENG Shengli, WANG Fan, WANG Haowei Documentation, Informaiton & Knowledge    2024, 41 (2): 28-38,149.   DOI: 10.13366/j.dik.2024.02.028 Abstract （179）      PDF（pc） （545KB）（196）       Knowledge map    Save [Purpose/significance] Generative artificial intelligence will cause a certain degree of AI information pollution in online communities. The various AIGC identification methods studied in this paper are of great significance to prevent the negative impact of rapidly evolving generated artificial intelligence. [Design/Methodology] This paper first constructed a HAC data set in multiple online community platforms with 54 major categories of topics of Sina Weibo, which contained 100,873 pieces of information written by humans and generated artificial intelligence respectively. Then it explored whether the current 6 kinds of mainstream deep learning and 7 kinds of machine learning methods can identify whether the information in the online community was written by human beings or generated by artificial intelligence. Finally, the BEM-RCNN method was proposed to further improve the recognition of AIGC precision. [Findings/Conclusion] From the perspective of constructed data set, it is found that generated artificial intelligence has a strong "human-like expression", which can simulate human beings to post and reply on social media platforms. The experimental results show that the method proposed in this paper has an accuracy of 96.4%, which can well identify whether the content on the online community is written by humans or AI. It is superior to the 13 other mainstream methods such as BERT, ERNIE, and TextRNN in terms of precision, recall rate, F1-value, and accuracy, verifying its performance advantages. At the same time, many exploratory experiments have also proved that although the current mainstream machine learning methods are less accurate than the method in this paper, they can also be competent for some AIGC recognition tasks. [Originality/Value] Multiple methods are used in this paper to identify AIGC on social media, and prevent information pollution caused by generative artificial intelligence on social media platforms. Related Articles | Metrics | Comments（0）

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Artificial Intelligence Literacy Education: Global Progress and Prospects ZHANG Jingbei, YU Chenlin, CAI Yingchun Documentation, Informaiton & Knowledge    2024, 41 (3): 15-26.   DOI: 10.13366/j.dik.2024.03.015 Abstract （201）      PDF（pc） （392KB）（196）       Knowledge map    Save [Purpose/Significance] This paper aims to investigate and summarize the current status and trends of global AI literacy education for clarifying the present situation and deficiencies and propose strategies for optimizing the AI literacy education in universities. [Design/Methodology] The study explores the developmental trends of AI literacy education based on various research materials such as policy documents, conference records, and research papers released by international organizations and developed countries. It employs the Berry-picking model to analyze innovative initiatives in AI literacy education practices at 29 universities both domestically and internationally. [Findings/Conclusion] A clear boundary and interconnection exist between AI literacy education and AI education. The orientation of international policies plays a crucial role in promoting AI literacy education, yet there is a lack of a comprehensive framework for such education. In universities, the primary AI literacy education educators consist of colleges, learning development centers and libraries, with diverse forms to deliver educational content encompassing knowledge, skills, attitudes, and ethical values. To effectively conduct AI literacy education at universities, it is imperative to establish and optimize an educational framework, while leverage the key role of university libraries. This can be achieved through the implementation of diversified educational strategies, and the enrichment of educational content based on the KSAVE model. [Originality/Value] Based on the findings by providing insights into the international development trends of AI literacy education and analyzing current innovative practices implemented in universities, this paper proposes strategies for optimization AI literacy education, which provides valuable references and guidance for the promotion and implementation of AI literacy education in universities. Related Articles | Metrics | Comments（0）

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The Construction of New Liberal Arts and the Development of Bibliography: Summary of the 7th National Bibliography Symposium LIU Peiwang Documentation, Informaiton & Knowledge    2024, 41 (1): 102-107,120.   DOI: 10.13366/j.dik.2024.01.102 Abstract （110）      PDF（pc） （303KB）（161）       Knowledge map    Save Related Articles | Metrics | Comments（0）

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Documentation, Informaiton & Knowledge    2024, 41 (1): 0-0.   Abstract （147）      PDF（pc） （92KB）（158）       Knowledge map    Save Related Articles | Metrics | Comments（0）

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Still Thinking: The Reading List of Information Resources Management for 2023 Documentation, Informaiton & Knowledge    2024, 41 (1): 155-166.   DOI: 10.13366/j.dik.2024.01.155 Abstract （142）      PDF（pc） （410KB）（152）       Knowledge map    Save Related Articles | Metrics | Comments（0）

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Research on Data Elements from the Perspective of the Discipline of Information Resources Management SUN Jianjun, LI Yang Documentation, Informaiton & Knowledge    2024, 41 (2): 6-12.   DOI: 10.13366/j.dik.2024.02.006 Abstract （162）      PDF（pc） （287KB）（152）       Knowledge map    Save [Purpose/Significance] Under the background of digital economy, there is a need to further integrate the discipline of information resources management into the construction of the data elements marketplace and actively cultivate new academic growth points. [Design/Methodology] This paper first analyzed the correlation logic between the discipline of information resources management and data elements, as well as the role construction of the discipline, then introduced some core issues from the perspective of information resources management discipline, and finally put forward some proposal for the future development of integrating the discipline and data elements. [Findings/Conclusion] Researching on data elements is a new field and direction of information resources management. At present, we should give full play to the characteristics and advantages of the discipline and promote the research and practice of data elements in an organized way. [Originality/Value] Through the lens of the discipline of information resources management, this paper examines the research problems of data elements, which can provide enlightenment for further expanding the field and advancing research in this field , as well as contribute reference for the construction of discipline discourse in the development of data elements and digital economy. Related Articles | Metrics | Comments（0）