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Value Creation of Data Elements: Review and Research Prospects Zhao Caijing Journal of Information Resources Management    2024, 14 (2): 41-53.   DOI: 10.13365/j.jirm.2024.02.041 Abstract （808）      PDF（pc） （985KB）（1675）       Knowledge map    Save Data has become a key production factor in China’s economic and societal development, with the circulation and value realization of data elements progressively becoming a crucial means for the high-quality development of the digital economy. This paper reviews the literatures and practices concerning the value creation of data elements, examining aspects such as the connotation, mechanisms, driving factors, obstacles and development paths. Based on this, this paper identifies gaps in the existing literatures on the value creation of data elements, advocating for a future research agenda that emphasizes interdisciplinary integration. It also proposes to explore future research directions and methodologies from perspectives including the conceptualization and measurement of data element value, determinants, and mechanisms of influence. Related Articles | Metrics | Comments（0）

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The Evolution and Contemporary Perspectives on the Empowerment of Intelligence by Artificial Intelligence Technology Li Guangjian　Pan Jiali Journal of Information Resources Management    2024, 14 (2): 4-20.   DOI: 10.13365/j.jirm.2024.02.004 Abstract （572）      PDF（pc） （1976KB）（711）       Knowledge map    Save This paper systematically explores the evolution and application of artificial intelligence (AI) technology in intelligence work, revealing its new developments in ideology, characteristics, technical methods, and practical scenarios. Transitioning from a rule-based paradigm to the era of foundation model approaches, AI presents significant opportunities for the intelligence field’ s enhancement in intelligence processing. However, it also introduces novel challenges related to ethics, legal considerations, and privacy concerns. The paper identifies issues and challenges that should be addressed by the intelligence community in the new era of intelligence. Furthermore, the paper proposes forward-thinking strategies to address these issues and challenges, providing valuable insights for the stable development of intelligence field. Related Articles | Metrics | Comments（0）

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An Exploration of the Data Assetization Paths for the Three Major Types of Data Ma Feicheng　Sun Yujiao　Xiong Siyue　Wang Wenhui Journal of Information Resources Management    2024, 14 (5): 4-13.   DOI: 10.13365/j.jirm.2024.05.004 Abstract （377）      PDF（pc） （6613KB）（183）       Knowledge map    Save Data assetization is a key stage in grasping digital opportunities, realizing the value of data, and promoting the digital transformation of the economy and society. This paper argues that public data, enterprise data and personal data are the major subjects of data elements. However, current research on the realization path of data assetization for the three major types of data is insufficient, hindering the release of the value of data elements. In this paper, we systematically review the relevant concepts of data assets, and delve into the path of data assetization from the three major data subjects: public, enterprise and individual. The results shown that public data can serve internal government needs or be supplied to the society, generating social benefits or economic benefits through sharing and opening, and authorized operation, thus forming public data assets. Enterprises, depending on whether they hold data ownership, can carry out different degrees of processing and handling of data, so as to complete the deep excavation of data value and redistribution of data benefits, forming inventory, intangible assets and other types of data assets. The practice related to personal data assetization is limited, mainly relying on two paths: direct transaction between suppliers and demanders or entrusted transaction by data intermediaries to complete market circulation and form personal data assets. Through in-depth exploration of this topic, this study aims to provide theoretical guidance and practical reference for the value realization of data elements and the effective allocation of data resources. Related Articles | Metrics | Comments（0）

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Reflections on Construction of Information Resources in University Libraries Serving National Strategies in the Era of Open Science Huang Ruhua　Shi Leyi Journal of Information Resources Management    2024, 14 (4): 16-28.   DOI: 10.13365/j.jirm.2024.04.016 Abstract （352）      PDF（pc） （907KB）（295）       Knowledge map    Save The arrival of the open science era has changed the information environment and scholarly communication system, and has also brought new opportunities and challenges to the construction of information resources in university libraries. Based on the national strategies of becoming a leading country in education, science and technology, talent, culture and so on, construction of information resources in Chinese university libraries urgently needs to achieve high-quality development on the basis of serving multiple national strategies. This article proposes countermeasures in four aspects, including: constructing information resources that are consistent with a holistic approach to national security, constructing information resources system needed for the digitalization of Chinese higher education, consolidating the information resource foundation for great self-reliance and strength in science and technology, and strengthening information resource support needed for construction of philosophy and social sciences with Chinese characteristics. Related Articles | Metrics | Comments（0）

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The Impact of Work Unpredictability on Work-family Conflict in a Remote Work Context——A Moderated Mediation Model Xie Xinzhou　Jin Guangyao Journal of Information Resources Management    2024, 14 (3): 136-148.   DOI: 10.13365/j.jirm.2024.03.136 Abstract （351）      PDF（pc） （1230KB）（283）       Knowledge map    Save Remote work has become the norm in digital work practices, and the study of the negative effects associated with work and family life in the use of digital technologies is receiving increasing scholarly attention in the field of information systems. Using a theoretical model of work-home resources, this paper explores the new types of work stress perceived by employees in the process of adapting to digital technologies in a remote work context and experiencing a shift in the form and manner of work, and explains the specific paths by which this stress undermines employees' prosperity in the family sphere. The results indicate that the work unpredictability in the context of intensive use of digital technologies leads to a reduction in coping resources for employees' psychological resilience, resulting in work-family conflict. Self-esteem, on the other hand, can be effective in helping employees relieve work stress and restore personal resources. The empirical results provide new insights and implications for how telecommuting affects employees' work experiences and work-home relationships. Related Articles | Metrics | Comments（0）

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Institute of Information Science, Shanghai Academy of Social Sciences, Shanghai, 200235 Zhang Zhun Journal of Information Resources Management    2024, 14 (2): 54-67.   DOI: 10.13365/j.jirm.2024.02.054 Abstract （328）      PDF（pc） （1104KB）（450）       Knowledge map    Save The guideline, which includes twenty key measures to build basic systems for data released in December 2022 (referred to as the "Twenty Data Measures"), proposes a structural separation system for data property rights, with "incentivizing data circulation" as its core focus. The rational allocation of the right to hold data resources affects the initial distribution of data benefits, serving as the foundation for achieving the strategic goal of "common use and shared benefits" of data. Under the traditional exclusive property rights mindset, the allocation patterns of the right to hold data resources may exacerbate conflicts of interest among data co-producers. This article suggests allocating the right to hold data resources among data co-producers in a "1+N" model, which means "prior hold data right for a specific data producer + access rights for N other data producers". With the support of tools such as technical governance and transparency governance, it explores a new, fair, and efficient data property rights system that aligns with the developing laws of the data economy. Related Articles | Metrics | Comments（0）

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Evolutionary Characteristics of the Interdisciplinary Research in Scientific Breakthrough Topics Yang Junhao　Xu Haiyun　Wang Chao　Liu Chunjiang　Zhang Huiling　Tan Xiao Journal of Information Resources Management    2024, 14 (4): 70-85.   DOI: 10.13365/j.jirm.2024.04.070 Abstract （296）      PDF（pc） （12975KB）（76）       Knowledge map    Save The paper explores the impact of interdisciplinary collaboration on scientific breakthroughs at the granularity of research topics, advancing our understanding of the driving mechanisms behind scientific breakthroughs. By analyzing the dynamic characteristics of temporal data, it unveils the breakthrough potential of emerging research topics and their interdisciplinary features. Specifically this paper initially identifies scientific breakthrough topics based on emerging research topics and examines their interdisciplinary characteristics. Furthermore, the consistency in the increase and decrease evolutionary trends in the number of citations and the number of cross-disciplinary documents on scientific breakthrough topics and their knowledge base documents is analyzed. Finally, it measures the predictive causal relationship between the citation count of scientific breakthrough topics and their interdisciplinary quantity time series, thus investigating the association between the emergence of scientific breakthroughs and interdisciplinarity. Using stem cells research as a case study, this empirical research categorizes the interdisciplinary characteristics of scientific breakthrough topics into three categories. Results show that there is a great consistency between the scientific breakthrough topics and the knowledge base in the increase and decrease evolutionary trends in the number of citations and interdisciplinary quantity. However, the predictive causal relationship between the citation time series of most scientific breakthrough topics and the time series of interdisciplinary is not significant. Therefore, relying solely on the interdisciplinary quantity metric may not effectively identify or predict scientific breakthrough topics. The paper provides valuable insights to better understand the characteristics of scientific breakthrough research. Related Articles | Metrics | Comments（0）

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Multi-level Functional Structure Recognition of Scientific Literature Liu Haotan　Liu Jiawei　Zhang Fan　Lu Wei Journal of Information Resources Management    2024, 14 (3): 90-103.   DOI: 10.13365/j.jirm.2024.03.090 Abstract （293）      PDF（pc） （3730KB）（120）       Knowledge map    Save The automatic recognition of structure function helps improve the efficiency of tasks such as fine-grained information retrieval, keyword extraction, and citation analysis. In response to the current challenges faced by structure function recognition research, including weak expression of internal textual dependencies and insufficient model generalization and transferability, this paper utilizes graph convolution neural networks to capture inherent dependency information and topological structures among word nodes, enhancing the modeling and representation capabilities of scientific publications. Additionally, adversarial learning is introduced to improve the generalization ability of the structure-function recognition model. The ScienceDirect dataset is selected to examine the recognition effectiveness of various model approaches for structure function at three different granularities: Header, Section, and Paragraph. Furthermore, we tested the transferability of multiple models across domains on PubMED-20k, a medical abstract structure function recognition dataset. Experimental results demonstrate that BERT+GCN get the best performance at the Header level, with an value of 88%, which is a 3% improvement over baseline models. At the Section level, the combination of BERT and GAN achieves the best performance, which is also a 3% improvement over baseline models. At the section paragraph level, the score reaches 68%. BERT+GCN exhibits superior cross-domain transferability compared to other models, achieving an score of 90% on cross-domain data. Related Articles | Metrics | Comments（0）

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The Developing Directions of Information Resources Management Discipline in the Era of Artificial General Intelligence Yan Hui Journal of Information Resources Management    2024, 14 (2): 21-28,53.   DOI: 10.13365/j.jirm.2024.02.021 Abstract （271）      PDF（pc） （765KB）（531）       Knowledge map    Save This paper reviews the seventy-year developing history of Artificial Intelligence and Artificial General Intelligence(AGI), reflects on the fifty-year history of information resources management, analyzes the profound and multifaceted impacts of AGI on the knowledge system, education system, and career system of information resources management, and proposes three suggestions for the developing direction of information resources management discipline in the AGI era. Related Articles | Metrics | Comments（0）

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Research on the Copyright Dilemma and Solution Path of Generative Artificial Intelligence Using Previous Works Liu Zubing Journal of Information Resources Management    2024, 14 (5): 147-158.   DOI: 10.13365/j.jirm.2024.05.147 Abstract （267）      PDF（pc） （859KB）（108）       Knowledge map    Save The rapidly development and embedded applications of generative artificial intelligence pose challenges to the existing copyright system. Generative artificial intelligence normalizes the crawling of massive amounts of prior work data, inducing infringement risks. Long distance text semantic understanding ability is intended to cover up infringement traces, and open cross domain generalization reasoning ability provides technical convenience for infringement. In terms of data feeding in works, generative artificial intelligence may cross the boundaries of fair use systems or lead to the extreme of unprotected or overprotected rights in previous works; In terms of copyright-ability of generated content, generative artificial intelligence decouples copyright subjectivity with its high-quality and massive generation ability, meeting the "minimum creative standards" and originality requirements. Propose to establish an endorsement system for the use of prior works to address the problem of rational use of algorithms; Promote the horizontal transition from "author centrism" to "work centrism", and shift the author's rights law starting from personality rights to copyright law starting from property rights; Establish an interpretable generative artificial intelligence originality evaluation mechanism and reinterpret originality standards. Related Articles | Metrics | Comments（0）

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Research on Large Language Model Evaluation for the Generation Task of Natural Language Processing in Classical Chinese Zhu Danhao　Zhao Zhixiao　Zhang Yiping　Sun GuangYao　Liu Chang　Hu Die　Wang Dongbo Journal of Information Resources Management    2024, 14 (5): 45-58.   DOI: 10.13365/j.jirm.2024.05.045 Abstract （266）      PDF（pc） （3124KB）（119）       Knowledge map    Save The rapid development of large language models (LLMs) presents both opportunities and challenges for their evaluation. While evaluation systems for general-domain LLMs are becoming more refined, assessments in specialized fields remain in the early stages. This study evaluates LLMs in the domain of classical Chinese, designing a series of tasks based on two key dimensions: language and knowledge. Thirteen leading general-domain LLMs were selected for evaluation using major benchmarks. The results show that ERNIE-Bot excels in domain-specific knowledge, while GPT-4 demonstrates the strongest language capabilities. Among open-source models, the ChatGLM series exhibits the best overall performance. By developing tailored evaluation tasks and datasets, this study provides a set of standards for evaluating LLMs in the classical Chinese domain, offering valuable reference points for future assessments. The findings also provide a foundation for selecting base models in future domain-specific LLM training. Related Articles | Metrics | Comments（0）

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Identification of Potential R&BD Opportunities by Generative Topogrophic Mapping from a Dynamic Perspective Feng Lijie　Li Pengyue　Wang Jinfeng　Zhang Ke　Lin Kuoyi Journal of Information Resources Management    2024, 14 (3): 149-160.   DOI: 10.13365/j.jirm.2024.03.149 Abstract （265）      PDF（pc） （9019KB）（65）       Knowledge map    Save In the face of an increasingly competitive market environment, it is important for enterprises to objectively and accurately identify potential Research, Business and Development (R&BD) opportunities to reduce the risks of blind innovation and seize market advantages. From a dynamic perspective, this paper proposes a method for identifying potential R&BD opportunities by generative topogrophic mapping using trademark and patent texts. Through the mapping and inverse mapping of trademark blank, combined with the text similarity calculation of trademark blank and patent and theme evolution analysis results of trademark blank, the potential R&BD opportunities are accurately identified for enterprises. Finally, the effectiveness of the proposed method is verified by taking the smart home system as an example. The research results show that the gradual filling or replacement of business gaps in the selected target areas can reveal different paths of its evolution, thus identifying the technical opportunities with potential R&BD value, and then providing targeted reference ideas for enterprises to efficiently carry out technological innovation. Related Articles | Metrics | Comments（0）

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A Review of Research on Elderly-oriented Digital Products: Demand Mining, Obstacle Analysis and Optimal Design Lin Yuqin　Zhao Yang　Liu Wanting　Wang Lin Journal of Information Resources Management    2024, 14 (4): 146-160.   DOI: 10.13365/j.jirm.2024.04.146 Abstract （264）      PDF（pc） （4159KB）（427）       Knowledge map    Save The "digital divide" exacerbated by the simultaneous development of population aging and social digitization has become increasingly severe, prompting a focus on the research and design of elderly-oriented digital products within both industry and academia. Using a systematic review approach, this study analyzes 348 research articles on elderly-oriented digital product design indexed in CNKI and Web of Science from 2014 to 2023. It explores the research progress and developing trend of the demand mining, usage obstacles, and optimal design of digital products for elderly users. The findings reveal that research on elderly users' needs mainly focuses on the three levels of material, emotional and spiritual needs, with significant focus on sensory barriers, cognitive barriers, behavior barriers and psychological barriers in product usage. The study investigates elderly-oriented design through various lenses, including design standards, optimization countermeasures, and usability testing. Future research should further consider the evolving nature of digital products and demographic trends by enhancing the methods for sample collection, innovating research methodologies, and expanding the content of studies. The findings of this study provide valuable references for identifying research priorities in elderly-oriented digital product adaptation, spotlighting emerging areas, advancing theoretical frameworks, and also offer practical insights for the proactive development of an age-friendly digital society. Related Articles | Metrics | Comments（0）

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Exploring the Generation Mechanism of Affective Responses of User Danmaku Commenting Behavior in Reaction Videos Ye Xujie　Zhao Yuxiang　Zhang Yan　Li Jinhao　Preben Hansen Journal of Information Resources Management    2024, 14 (2): 104-120.   DOI: 10.13365/j.jirm.2024.02.104 Abstract （264）      PDF（pc） （3042KB）（557）       Knowledge map    Save Investigating the generation mechanism of affective response of danmaku commenting behavior in reaction videos can provide valuable insights into the reasons for affective generations and the process of affective change. This paper takes reaction videos of the Bilibili video website as examples. We conduct coding using the directed content analysis method by selecting the danmaku resources, video content, and reactor responses of 11 popular videos in different camps as samples. Based on the Affective Response Model (ARM), this paper builds a theoretical framework of the generation mechanism of affective responses of user danmaku commenting behavior in reaction videos. The results suggest that affective responses of user danmaku commenting behavior in reaction videos generally follows the path of "information cues-affective response", that is, information cues can arouse emotions or particular affective responses autonomously, and they can also affect the generation of emotions or learned affective responses by arousing particular affective responses. The proposed framework helps to improve the contextualized exploration of ARM theory in computer-mediated communication and will also provide practical implications for optimizing user-information interaction in social media. Related Articles | Metrics | Comments（0）

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Construction and Application of Semantic Interoperability Concept System from the Perspective of Standardization: Taking Development of Smart Cities International Standards as an Example Huang Jie　An Xiaomi　Kuang Miaomiao　Wu Jing Journal of Information Resources Management    2024, 14 (3): 56-68，135.   DOI: 10.13365/j.jirm.2024.03.056 Abstract （256）      PDF（pc） （3928KB）（296）       Knowledge map    Save This paper adopts ISO 704:2022 terminology work—principles and methods, regards the definitions of “semantic interoperability” in international standards as the research objects, and then identifies the core concepts, characteristic and their relationships of “semantic interoperability”. It constructs a concept system of “semantic interoperability” based on international standards, which reveals the capability characteristics and functional requirements of “semantic interoperability”. Then, this paper uses case analysis method to map the “semantic interoperability” characteristics of relevant international standards in the field of smart cities, to analyse gaps in the development of semantic interoperability standards and to provide guidance for selection and development of semantic interoperability standards in smart cities, which helps verify the practicality of this concept system. The research has shown that this system has significance for improving efficiency of data, information, and knowledge sharing and exchange in artificial intelligence scenarios, for promoting data, information, and knowledge association, fusion, and interpretability, and for promoting standardization collaboration on multi-dimensional, multi-scenario, and multi-dimensional semantic interoperability. Related Articles | Metrics | Comments（0）

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Research on Multilateral Platform for Data Element Transactions: Current Status, Approaches, and Framework Wu Jiang　Yuan Yiming　He Chaocheng　Qian Long　Du Le　Miao Jiarui Journal of Information Resources Management    2024, 14 (3): 4-20.   DOI: 10.13365/j.jirm.2024.03.004 Abstract （247）      PDF（pc） （4171KB）（282）       Knowledge map    Save In response to the national policies aiming to establish a unified and comprehensive market for the circulation and transaction of data elements, it is imperative to systematically analyze the current processes involved in the circulation and transaction of data elements. Such analysis is crucial for the construction of data element platforms and holds strategic importance in advancing the market-driven distribution of data elements and fostering the growth of the digital economy within China. Through case studies and literature reviews, this study examines the entities within the multilateral data trading market and their interrelationships. It also identifies the primary challenges within the current market and proposes breakthrough pathways and a research framework for the development of a multilateral data element trading platform. This framework is grounded in value chain theory and socio-technical system theory, aiming to serve as a guide for the construction of a market conducive to the circulation and transaction of data elements. Related Articles | Metrics | Comments（0）

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Research on Algorithm Embedding and Visibility Mechanism：A Platform Affordance Perspective Du Yan　Xie Xinzhou Journal of Information Resources Management    2024, 14 (5): 91-103.   DOI: 10.13365/j.jirm.2024.05.091 Abstract （242）      PDF（pc） （4260KB）（78）       Knowledge map    Save Given the increasing relevance of algorithms, how to implement the main responsibility of platforms has become a focal issue. Based on the perspective of affordance theory, the study analyzes the relationship between algorithms, the platform environment, and user perception through mixed research methods to clarify the role of platforms in the process and the problems that arise. The research results show that the algorithm reshapes the platform environment through specific encoding programs, multi-objective optimization, and billions of feature vector combinations. For ordinary users, the algorithm is invisible, uneditable and inaccessible. The platform initially constructs the visibility mechanism of the algorithm through interface cues, but the effect is limited. The research, combined with the embedding logic of the algorithm, provides policy recommendations to promote user algorithmic knowledge, which has certain theoretical and practical significance. Related Articles | Metrics | Comments（0）

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Assessment of Urban Data Element Market Readiness from the Perspective of Information Ecology Theory Gu Jie　Liu Yubo　Wang Zhen　Tang Qifeng Journal of Information Resources Management    2024, 14 (2): 82-94,135.   DOI: 10.13365/j.jirm.2024.02.082 Abstract （220）      PDF（pc） （2810KB）（244）       Knowledge map    Save Building the data element market stands as a crucial foundation for the successful implementation of China's digital strategies and the development of the digital economy. China's data element market is still in its early development stage, though data resources are abundant. Recognizing the imbalanced development status is essential for both theory and practice. This paper proposes the concept of "data element market readiness" based on the nascent market characteristics. Following the "tripartite constitution" of information ecology theory, an indicator system is established to measure the market readiness of 298 Chinese cities. Spatial analysis is further conducted on inter-city balance and regional competitiveness. The results objectively reflect the current overall status, issues and regional features of China's data element market, providing implications for policy making to promote an integrated national market. Related Articles | Metrics | Comments（0）

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Application and Reflection of Full-text Bibliometric in the Era of Large Models ——A Review of the 2023 Academic Salon on Full-text Bibliometric Analysis Zhou Haichen　Zhang Chengzhi　Hu Zhigang　Xu Shuo　Mao Jin　Chen Liang Journal of Information Resources Management    2024, 14 (2): 162-168,封2.   DOI: 10.13365/j.jirm.2024.02.162 Abstract （219）      PDF（pc） （797KB）（228）       Knowledge map    Save On September 14-16, 2023, the Sixth Chengdu Conference on Scientometrics & Evaluation was held, hosted by the National Science Library (Chengdu), Chinese Academy of Sciences and organized by the Sci-tech innovation Evaluation Research Center (SERC). The Fourth Academic Salon on Full-text Bibliometric analysis, initiated by Zhang Chengzhi and others, was an important event of the Chengdu Conference, receiving more than eighty experts and scholars' enthusiastic participation and in-depth communication. By combing and summarizing the speeches and discussions of the guests of the salon, this article summarizes the main contents of the salon into the aspects of large language model and full-text bibliometric analysis, the application scenario of full-text bibliometric analysis and so on, in order to reveal the research status and development trend of full-text bibliometric analysis. Related Articles | Metrics | Comments（0）

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International Standardization Consensus Building and Application on Concepts of “Smart” in Digital Domain from System of Systems Perspective An Xiaomi　Zhang Hongwei　Wei Wei　Huang Jie　Zhang Hui Journal of Information Resources Management    2024, 14 (3): 31-41.   DOI: 10.13365/j.jirm.2024.03.031 Abstract （207）      PDF（pc） （1506KB）（79）       Knowledge map    Save In the digital age, with the fast development and widespread application of big data and artificial intelligence technologies, “smart” designations are increasingly emerging. However, there is lack of research on international standardization consensus on “smart” concepts. This paper identifies the core concepts and essential characteristics of “smart” from definitions of relevant international standards in digital domain from system of systems perspective and employs principles and methods for concept building in ISO 704:2022. Based on cross-domain international standards experts virtual meetings and surveys conducted, cross-domain standardization consensus on generic concepts of “smart” is achieved. These concepts of “smart” have been used to map and guide the development of a Chinese national standard in smart city domain. The study has important strategic significance for promoting the compatibility between national and international standards. Related Articles | Metrics | Comments（0）

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Model, Current Situation and Countermeasures of Data Element Market Governance in China Ding Botao Journal of Information Resources Management    2024, 14 (2): 29-40.   DOI: 10.13365/j.jirm.2024.02.029 Abstract （206）      PDF（pc） （884KB）（300）       Knowledge map    Save It is necessary to establish a scientific and efficient market governance mechanism to foster the high-quality development of the data element market. This paper examines the governance mechanisms of the data element market, proposing three governance models: market-oriented governance, vertical governance, and relational governance. It also compares their characteristics to analyze the current situation and challenges of market governance mechanisms. This paper emphasizes that China needs to adopt multiple governance models simultaneously, establishing a governance structure that primarily focuses on market-oriented governance, supplemented by vertical governance, and complemented by relational governance as a key addition. Furthermore, this paper offers specific countermeasures and suggestions for the further improvement of these three governance models. Related Articles | Metrics | Comments（0）

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Migration Map Across the Millennium：Deep Mining and Visualization Development of Migration Data in Genealogical Literature Liu Qianqian　Xia Cuijuan　Shan Shuyang Journal of Information Resources Management    2024, 14 (2): 95-103,161.   DOI: 10.13365/j.jirm.2024.02.095 Abstract （196）      PDF（pc） （3970KB）（229）       Knowledge map    Save This study utilizes the synoptic catalog from Chinese Genealogy Knowledge Service Platform and applies technologies such as ontology and associated data, GIS and visualization to extract and exploit knowledge of migration information contained in genealogical literature, and designs and develops an interactive visual presentation project with migration spatio-temporal data for narrative, and delivers the service in multiple terminals and scenes, thereby enhancing the utility of genealogical literatures and pioneering innovative knowledge service models for genealogy. This study mines, organizes and visualizes large-scale data to provide new ideas for the promotion and utilization of the unique resources of library collections. It also offers new methods for the presentation and dissemination of humanities knowledge, and broadens the scope of digital humunities services to encompass the general public. Related Articles | Metrics | Comments（0）

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Personal Information Protection Misconducts in the Era of Digital Intelligence: An AIGC-Assisted Grounded Theory Analysis Zhao Haiping　Liu Zhixin　Sun Yanchao　Jiang Na Journal of Information Resources Management    2024, 14 (4): 59-69.   DOI: 10.13365/j.jirm.2024.04.059 Abstract （195）      PDF（pc） （1491KB）（174）       Knowledge map    Save The extensive collection and deep utilization of personal information in the era of data intelligence highlight the significance of identifying misconducts in personal information protection. This study, guided by the current personal information protection laws and regulations, qualitatively analyzed 2100 cases of violations of laws. It aimed to identify common prevailing misconducts in safeguarding personal information during data processing activities. AIGC technology was introduced in the analytical process of Grounded Theory to categorize the identified misconducts. As a result, we identified eleven major categories and fifty-five subcategories of personal information protection conducts. We then particularly discussed key issues in personal information protection in the age of data intelligence. The findings of this study can not only offer a theoretical framework for future research in the field of personal information protection but also provide decision support for various organizations and government regulatory authorities. Related Articles | Metrics | Comments（0）

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Research on the Model of Public Data Entering the Data Element Market Fan Jiajia Journal of Information Resources Management    2024, 14 (2): 68-81.   DOI: 10.13365/j.jirm.2024.02.068 Abstract （190）      PDF（pc） （1208KB）（637）       Knowledge map    Save Public data is an important component of the data marketplace, yet its modes of entry and participation categories have received limited attention in the current literature. This paper investigates the modes of public data participation in the data element market, both domestically and internationally, through sorting and comparative analysis. We identified two main categories and five modes for public data to enter the data element market, including: 1) the primary market (authorized operation) + secondary market (trading in the data exchange) mode, 2) the public data development and utilization + trading outside the data exchange mode, 3) the construction of a public data circulation market mode based on data platforms, 4) the trading mode using data brokers and data intermediaries, and 5) the participation in the data market mode through (public) data trusts. Building upon this categorization, the paper proposes an ideal mode for public data entry into the data element market, outlined in three phases: data acquisition, data product production, and data product trading. This paper offers insights for strategic selection regarding the entry of public data into the data element market in China. Related Articles | Metrics | Comments（0）

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The Realization of Data Value in the Collaborative Development of Digital Industrialization and Industrial Digitization Ma Feicheng　Wang Wenhui　Sun Yujiao　Xiong Siyue Journal of Information Resources Management    2024, 14 (4): 4-15.   DOI: 10.13365/j.jirm.2024.04.004 Abstract （189）      PDF（pc） （1513KB）（215）       Knowledge map    Save The collaborative development of digital industrialization and industrial digitization is crucial for driving economic transformation and upgrading. However, existing research lacks in-depth exploration of the collaborative relationship between digital industrialization and industrial digitization. This study, based on the data value chain, elucidates four forms of data value: data resources, data assets, data commodities, and data capital. It further reveals the relevance of digital industrialization and industrial digitization for the two types of data, industrial data and government data. Additionally, it analyzes the evolution process of data element value and the value realization stages in the collaborative development of digital industrialization and industrial digitization. The study demonstrates that the collaborative development of the digital economy consists two value realization processes: the leap from data assets to data commodities and the evolution from data commodities to data capital. To promote the collaborative development of the digital economy, it is necessary to reshape and upgrade both digital and traditional industries by combining the transformation of data element value. Through in-depth analysis of the collaborative development of digital industrialization and industrial digitization, this study enhances the understanding of data element value realization and comprehension of the laws governing digital economic development, providing valuable insights for research in this field. Related Articles | Metrics | Comments（0）

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The Concepts of "Transparency" in AI Scenarios:A Content Analysis of Definitions from International Standards Organizations An Xiaomi　Xu Mingyue Journal of Information Resources Management    2024, 14 (3): 42-55.   DOI: 10.13365/j.jirm.2024.03.042 Abstract （188）      PDF（pc） （3492KB）（286）       Knowledge map    Save This paper aims to clarify the intension and extension of the concepts of “transparency” in the AI scenario and build consensus on the concept within the AI field. It analyzes 11 definitions of transparency from international standards organizations including ISO, IEC and ITU-T, identifying core concepts and their relationships. In combination with analysis of relevant international standards of AI, a concept system model of transparency in AI scenarios is proposed. Through the analysis of definitions in different SDOs, this paper proposes implications to artificial intelligence information governance from three aspects in terms of objects, stakeholders and characteristics. This paper offers new insights into standardization collaboration on information governance and information technology governance for AI from a transparent perspective, which has both theoretical value and practical value. Related Articles | Metrics | Comments（0）

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Research on Core Concepts of Regulation and Their Relationships in the Context of Artificial Intelligence: From Perspectives of Standardization and Multidisciplinary Integration Kuang Miaomiao　An Xiaomi　Huang Jie Journal of Information Resources Management    2024, 14 (3): 69-79.   DOI: 10.13365/j.jirm.2024.03.069 Abstract （188）      PDF（pc） （3873KB）（130）       Knowledge map    Save In order to understand the concept of regulation in the context of artificial intelligence, this study investigates and analyzes the regulatory definitions in the standard documents published by the three major international standardization organizations, ISO, IEC, and ITU, and deconstructs and reconstructs core concepts and the relationships in these definitions. Using the concept system “entity-tool-management scenario-activity-object-feature” identified from the regulatory definitions in international standards as an analytical framework, this study analyzes the representative literature related to regulation in the context of artificial intelligence using content analysis. From a multidisciplinary perspective, this study proposes the core concepts of regulation and their relationships in the context of artificial intelligence. This study provides reference for establishing a consensus on the regulatory concepts in the context of artificial intelligence and the standardized collaborative implementation path for general regulatory concepts in the context of artificial intelligence. Related Articles | Metrics | Comments（0）

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Exploring the Cognitive Factors of Healthcare Professionals’ Health Misinformation Correcting Intention on Social Media——Using SEM and fsQCA Yu Mei　Yu Shiya　Liu Rui Journal of Information Resources Management    2024, 14 (3): 104-120.   DOI: 10.13365/j.jirm.2024.03.104 Abstract （157）      PDF（pc） （1527KB）（181）       Knowledge map    Save This paper aimed to explore the factors of healthcare professionals’ health misinformation correcting intention on social media. The results of this study can be useful to reduce the spread of health misinformation. Based on Third-Person Effects (TPE), Protective Motivation Theory (PMT) and Heuristic System Model (HSM), this paper employed Structural Equation Model(SEM) and Fuzzy-Set Qualitative Comparative Analysis(fsQCA) to explore the influencing factors of healthcare professionals’ health misinformation correcting intention and its configurations. The path analyses showed that third-person effect, social media trust, self-efficacy, response efficacy and professional identity can positively affect health misinformation correcting intention; Information processing affected social media trust and the third-person effect; Social media trust positively affected self-efficacy and response efficacy, and these two variables had mediating effects between social media trust and health misinformation correcting intention. The fsQCA found that there were three configurations leading to health misinformation correcting intention. Third-person effect, self-efficacy, response efficacy, and professional identity were important antecedents. This study can call for and encourage more healthcare professionals to participate in the correction of health misinformation on social media, thus reducing the adverse effects of misinformation and safeguarding public health. Related Articles | Metrics | Comments（0）

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Information Reach: Influence of the Language Expression of Disaster Warning Message Wang Fang　Hu Qiandai　Ma Xin Journal of Information Resources Management    2024, 14 (4): 36-51.   DOI: 10.13365/j.jirm.2024.04.036 Abstract （147）      PDF（pc） （1739KB）（303）       Knowledge map    Save In the context of natural disasters, as one of the key factors affecting the effectiveness of emergency management, the effective reach of emergency pre-warning messages is of significant value to enable the target audience to prepare in advance and mitigate disaster losses. To investigate the impact of information expression on the reach of emergency pre-warning messages, this study, based on prospect theory and reference point effect, employed an experimental research method to collect self-reported perception and behavioral data from the audience of pre-warning messages in the context of urban rainstorm disaster. The influences of the information expressions including different reference points on the effectiveness of information arrival were examined. The results indicated that information expression designed based on different reference points has different effects on the reach of disaster pre-warning messages. Specific information reference points and social comparison reference points significantly affect the audience's perception of disaster severity and risk, while the negative impact reference point does not have a significant effect. Furthermore, cognitive load affects the reach of information that contains both comprehensive reference points and specific information reference points related to disaster prevention measures. This study advances the research on information reach theory and has significant implications for improving government information expression, enhancing the effectiveness of disaster pre-warning messages delivery. Related Articles | Metrics | Comments（0）

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Cultivation of Innovative Talents in Information Resource Management Under Interdisciplinary Perspective Zhang Yang　Wu Tingting　Li Jing Journal of Information Resources Management    2024, 14 (3): 21-29,55.   DOI: 10.13365/j.jirm.2024.03.021 Abstract （140）      PDF（pc） （795KB）（196）       Knowledge map    Save At present, the new round of scientific and technological revolution and industrial changes are advancing rapidly, the paradigm of scientific research is accelerating, and the cross-fusion of disciplines has become an inevitable trend for the development of disciplines. After the renaming of the first-level discipline of "Information Resource Management", how to carry out the cultivation of innovative talents in the discipline has become an important issue in the new historical convergence period. Disciplinary talents are the important pulling force for the development of disciplines, and talent training work is an important part of disciplinary construction. This paper clarifies that information resource management has the qualities of multidisciplinary integration and multidisciplinary intersection from the date of its birth by sorting out the way of the generation and development of this discipline, and then analyzes the trend of information resource management talent cultivation from undergraduate and postgraduate cultivation levels through the perspective of interdisciplinarity. Finally, it puts forward the innovative talent cultivation path of "rooted in curriculum system, based on the frontiers of the discipline, broadening cross-cutting areas" in information resource management under interdisciplinarity perspective. Related Articles | Metrics | Comments（0）

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A Qualitative Study on the Impact Mechanisms of User Satisfaction of Comprehensive Government Service APPs Based on User Reviews Zhao Ying　Deng Huili　Li Guangyao　Chen Cheng Journal of Information Resources Management    2024, 14 (3): 121-135.   DOI: 10.13365/j.jirm.2024.03.121 Abstract （139）      PDF（pc） （1873KB）（158）       Knowledge map    Save Comprehensive Government Service Apps are critical for delivering "one-stop" solutions for high-frequency government transactions and are essential for the development of efficient, collaborative digital governance. This study explores the determinants of user satisfaction and their mechanisms to inform targeted enhancements in app functionality and service processes, ultimately aiming to improve digital governance standards. Utilizing the Service Encounter Triad and the Service Encounter Satisfaction Model as theoretical frameworks, this study analyzed user reviews from 29 apps through Grounded Theory, identifying seven key factors within product quality and usage contexts. This study developed a triadic subject model and a process model to describe these dynamics and revealed that higher product quality and usage scenarios aligned with user needs lead to greater satisfaction. Institutional pressures in app promotion negatively influence satisfaction prior to use, whereas during usage, product quality positively impacts user satisfaction. After use, perceived empathy within the usage context enhances satisfaction. Additionally, institutional pressures negatively moderate the positive relationship between product quality and satisfaction. This study not only elucidates the complex mechanisms affecting user satisfaction but also enriches the management information systems literature by extending the applicability of established theories. The insights provided offer a theoretical basis for further quantitative studies on satisfaction dimensions and the regulatory effects of institutional pressures. Recommendations derived from this study could optimize digital governance services, promoting high-quality development and advancing digital transformation in China. Related Articles | Metrics | Comments（0）

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Data Production: Concepts, Scenarios, Technologies and Reflections Hu Guangwei　Fan Zhaoyuan Journal of Information Resources Management    2024, 14 (5): 14-21.   DOI: 10.13365/j.jirm.2024.05.014 Abstract （128）      PDF（pc） （3318KB）（142）       Knowledge map    Save Digital transformation offers significant opportunities for the development of the economy and society while also presenting numerous challenges. Issues such as the source of data, continuous supply, cultivation of core data capabilities, and the urgent need to explore data production scenarios and technologies await discussion. By discussing the concept, structure, characteristics, scenarios, and technologies of data production, we hope to draw the attention of both the theoretical and practical sectors to the new business forms of data production, promote the development of new productive forces such as digitalization, intelligentization, and wisdomization, and serve the modernization of China’s digital transformation and governance capabilities. Related Articles | Metrics | Comments（0）

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Construction of the Whole Process Field of Data Element Circulation for the High-quality Development of Digital Economy Ma Haiqun　Liu Xinrui Journal of Information Resources Management    2024, 14 (4): 29-35.   DOI: 10.13365/j.jirm.2024.04.029 Abstract （124）      PDF（pc） （2351KB）（165）       Knowledge map    Save Based on the major strategic needs of the deepening development of the national digital economy, the construction of a full-process field for the circulation of data elements will help improve the overall efficiency of the release of the value of data elements and their transaction circulation, and accelerate the standardization of China's data element market. Related Articles | Metrics | Comments（0）

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Identifying Technology Opportunities from High-Value Patents in Universities: The Case of Generative Artificial Intelligence Ran Congjing　Li Wang　Huang Wenjun Journal of Information Resources Management    2024, 14 (4): 103-116.   DOI: 10.13365/j.jirm.2024.04.103 Abstract （124）      PDF（pc） （2703KB）（192）       Knowledge map    Save This study proposes a method for identifying technological opportunities of high-value patents in colleges and universities, using theme modeling, mutation level method, machine learning and outlier detection algorithms to further identify technological themes and patented technologies with potential technological opportunities on the basis of evaluating high-value patents in colleges and universities. Taking the field of "Generative Artificial Intelligence" as an example for empirical evidence, the results show that the potential technology themes in the field of "Generative Artificial Intelligence" are centered on cutting-edge areas such as deep learning, neural networks and machine learning, and AI imaging and AI diagnosis and treatment are potential technological opportunities in this field, and the above technologies are vigorously supported by relevant national policies. This method can break through the core problems such as poor targeting of the identification results of a single technology opportunity identification method, low value of the identified patents, and a single form of the identification results, and the relevant identification results can provide decision-making support for the technology transfer, technology research and development, and technological innovation of universities. Related Articles | Metrics | Comments（0）

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A Triple Helix Coupling Model of China’s Open Government Data Resource System Chen Ling　Jiang Guoyin Journal of Information Resources Management    2024, 14 (2): 121-135.   DOI: 10.13365/j.jirm.2024.02.121 Abstract （123）      PDF（pc） （4882KB）（271）       Knowledge map    Save This study delves into the intricate dynamics of open government data, examining its coupling and coordinated evolution from a systemic lens, which is pivotal for advancing the openness of government data, enhancing data value empowerment, and promoting the development of both the data industry and digital economy. This study establishes an isomorphic mapping between the theoretical model and the empirical system and constructs a triple helix model and functional equation for the open government data system, with a focus on data openness, data utilization and data value. Employing a hierarchical analytical framework that dissects the relationships among ‘element-subsystem-system’, the study provides an empirical evaluation of the data coupling intensity among the data resources available on China’s government open platforms. From the perspective of resource-based theory, this study proposes the coordination and optimization path of government data resources, which provides a new theoretical perspective and methodological support for future research of open government data. Related Articles | Metrics | Comments（0）

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Effect of Task Difficulty on APP Use Behavior for College Students in Health Information Identification Chen Jing　Duan Qingyun　Chen Hongli　Lu Quan Journal of Information Resources Management    2024, 14 (2): 148-161.   DOI: 10.13365/j.jirm.2024.02.148 Abstract （120）      PDF（pc） （2891KB）（338）       Knowledge map    Save Investigating user behavior on query pages, search engine result pages, and detail pages can help reveal the mechanisms of health information search behaviors and optimize strategies for health information identification services. This study recruited 32 users to complete two health information identification tasks with different levels of difficulty. Utilizing open coding, the types of APPs used by users were cataloged. Information carriers, such as query pages, search engine result pages, and detail pages used during the identification process, alongside pages users subjectively deemed useful and captured via screenshots, served as the basis for an in-depth analysis of user APP usage behaviors from two dimensions: information source selection and cognitive resource allocation strategies. The findings underscore the significant influence of task difficulty on the choice of information sources within community APPs, highlighted by an increase in the diversity of pages visited and the volume of information captured in screenshots for tasks of higher difficulty. Similarly, task difficulty significantly affects the cognitive resource allocation strategy for health APPs, demonstrated by an augmented investment of cognitive resources on detail pages for more challenging tasks. This shift entails a reduced proportion of cognitive resources allocated to query pages, alongside an elevated rate of information adoption. Accordingly, this study reveals the "synchronous awakening" effect of task difficulty on user APP behavior in health information identification, confirming the phenomena of media dependence and authority dependence within this context. Related Articles | Metrics | Comments（0）

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Research and Construction Trends Analysis of Experimental Protocol Datafication Fu Yun　Zhu Liya　Han Tao　Zheng Xinman　Liu Xiwen Journal of Information Resources Management    2024, 14 (2): 136-147.   DOI: 10.13365/j.jirm.2024.02.136 Abstract （107）      PDF（pc） （4242KB）（84）       Knowledge map    Save This study explores the trends in research and construction of experimental protocol datafication, aligning with the current needs of experimental protocols in scientific research. It redefines experimental protocols and clearly provides a clear conceptualization of their datafication. On this basis, the study conducts a comprehensive analysis of the national distribution, key research questions, and the leading institutions and researchers involved in 103 pieces of literature related to the experimental protocol datafication. The key research problem, focusing on the development of datasets (including corpora) with comprehensive integration and the characteristics of linking the upper and lower levels was selected for detailed analysis and analyzed. This involves categorizing and organizing the information into three types: scientific and technological literature database, computable data set and text annotation corpus. Building on this trend analysis, this study discusses the theoretical and methodological advantages that information resource management and knowledge service institutions can bring to four key research issues in experimental protocol datafication. It emphasizes their role in promoting the integration of theory and experiment and data-driven knowledge discovery. Related Articles | Metrics | Comments（0）

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Research on the Organization and Management of Anticipatory Intelligence Work Li Guojun　Wang Yanfei　Xu Yang Journal of Information Resources Management    2024, 14 (3): 80-89.   DOI: 10.13365/j.jirm.2024.03.080 Abstract （106）      PDF（pc） （1312KB）（98）       Knowledge map    Save The purpose of this paper is to explore the practical experience of U.S. intelligence agencies in carrying out anticipatory intelligence work, and to provide reference and inspiration for China's intelligence agencies. Taking the four anticipatory intelligence projects initiated by the U.S. Intelligence Advanced Research Projects Agency (IARPA) as cases, it analyzes their mission scenarios, organized scientific research mode, implementation process and influence. This paper organizes the practical process of anticipatory intelligence work from four aspects, including the connotation of mission scenarios, the sources of clues, the indicators for judging, and the construction of teams. This paper summarizes the characteristics and revelations of anticipatory intelligence work from five aspects, including cross-domain synergy, quantitative assessment, win-win situation of science and commerce, diversified team, and impact assessment. Finally, the paper puts forward some suggestions for China's intelligence agencies to carry out anticipatory intelligence work. Related Articles | Metrics | Comments（0）

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A Study on Automatic Categorization of the Siku Quanshu Based on a Large Language Model Zuo Liang　Zhao Zhixiao　Wang Dongbo Journal of Information Resources Management    2024, 14 (5): 23-35.   DOI: 10.13365/j.jirm.2024.05.023 Abstract （105）      PDF（pc） （2258KB）（130）       Knowledge map    Save The craze of ancient book research and the contemporary requirement of ancient book revitalisation have raised higher requirements for automatic classification of ancient books. This study explores the classification effect of Xunzi large language series models on the automatic classification of ancient books by combining the large language model along the current preface with the 25 categories of corpus from the history and scripture sections of the Siku Quanshu as the input corpus.Through the comparison experiments with its base model, the results show that Xunzi large language models for ancient books have obvious advantages in the automatic classification task of ancient books, among which the Xunzi-Baichuan2-7B large language model has the most significant advantage in the automatic classification task of ancient books, and the overall classification F1 value reaches 96.90%. In addition, the experiments of adjusting the training data size show that the Xunzi-Baichuan2-7B large language model is able to achieve comparable classification results with the base model with only a small amount of data. Therefore, the automatic classification model for ancient books based on Xunzi large language models for ancient books proposed in this study can achieve efficient fine-grained classification of ancient books and opens up a new way for the classification of ancient books in resource-constrained contexts. Related Articles | Metrics | Comments（0）

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Research on Multi-granularity Knowledge Organization Method for Standard Documents from the Perspective of Knowledge Association Fan Hao　Wang Yifan Journal of Information Resources Management    2024, 14 (4): 133-145.   DOI: 10.13365/j.jirm.2024.04.133 Abstract （101）      PDF（pc） （10721KB）（64）       Knowledge map    Save Traditional document organization methods are inadequate to address the evolving trends of standard digitization. It is essential to uncover the multi-granularity knowledge units and their semantic associations within standard documents, to explore novel organizational methods that can efficiently utilize standard knowledge, and to provide references for optimizing standard provision. From the perspective of knowledge association, this study proposed a multi-granularity, semantically-rich, and universal knowledge organization method for standard documents. Firstly, based on the Knowledge Granularity Theory, knowledge partitioning and description at multiple granularities are carried out according to the knowledge content and requirement characteristics of standard documents. Secondly, the semantic association patterns and types among multi-granularity knowledge units are recognized and discovered from aspects such as knowledge hierarchy, document features, text logic, and spatiotemporal evolution. Finally, the method of ontology construction is employed to achieve multi-granularity knowledge organization of standard documents, and the ontology is validated and its value elaborated through the addition of knowledge instances. The multi-granularity knowledge association method for standard organization can comprehensively reveal the multi-granularity knowledge units within standard documents, forming extensive interconnected knowledge levels and associations. This approach facilitates the effective acquisition, sharing, and reuse of standard knowledge across various service scenarios. It not only advances the construction of standard resources to suit the era of digital intelligence but also enriches the mining and utilization of document content driven by multi-granularity knowledge. Related Articles | Metrics | Comments（0）