[Purpose/significance] The intelligent technology use barrier for the elderly is an important challenge fac? ing the digital transformation of society. Analyzing the content structure of related policies has a strong practical guid? ing value for policy optimization and stakeholders’collaborative participation. [Method/process] This study con? structs a three- dimensional framework integrates policy instruments, digital divide, and actors to code policy texts, then proposed policy optimization strategies based on quantitative results. [Result/conclusion] Three types of policy in? struments have not been used in balance, and the sub-types of instruments have not been fully used; the policy instru? ments focus on solving the access divides, and rely on limited policy instruments to narrow the digital divide; the types of actors are diverse but their responsibilities are unevenly distributed, the roles of some types of actors are not outstand? ing enough. Corresponding optimization strategies are proposed.

The paper describes the historical development of Open- Source Intelligence ( OSINT) , and discusses the value and drawback of OSINT. Based on the analysis of the OSINT work in some developed countries such as the United States, Europe and Australia, the paper gives some suggestions to Chinese OSINT work.

The paper analyzes the background of the evolution of scientific research paradigm and explains its evolution process. The authors importantly explain the key points in data-intensive science and scientific research paradigm. Finally the authors present its whole evolution process and architecture using knowledge map.

This paper compares the connotations, papers and research projects of data curaion at home and abroad through literature research，and summarize its development situation and future trends in China.

[Purpose/significance]The FAIR principle has become the international standard for scientific data management, studying the concept and connotation of this principle will help the layout and practice of national scientific data management. [Method/process] Based on literature research and online research. Firstly, the background of the FAIR principle is introduced from the perspective of the characteristics of the times. Then, analyzes the specific content of the four sub-principles that are Findable, Accessible, Interoperable and Reusable through key words. Finally, introduces the research and practical progress on FAIR principle from four aspects: academic conferences, research results, scientific plans, and data publishing.[Result/conclusion] The article believes that the continuous accumulation of data resources, the change of scientific research paradigm, and the global action of data sharing have laid the background for the emergence of FAIR principles. The four sub-principles and their 15 specific principles are progressively advanced, and together describe the FAIR system. We deem that future scientific data sharing system will develop towards integration, intelligence, and ecology.

From the narrow view of the concept of knowledge map，this paper proposes a overall framework of applied research in mapping knowledge domain ，systematically sums up  the knowledge mapping application in foreign，Finally，the authors make the in — depth research outlook of relevant  application.

This paper collects domestic and foreign relevant papers about Internet public opinion and uses documen?tal analysis, quantitative research and knowledge graph to make a comparative and visual analysis of domestic and for?eign Internet public opinion from origins and development, hotspot trends and methods. As for research trend, it shows that the number of papers about Internet public opinion in social media era is increasing year by year. Furthermore, in the sight of hotspot, research abroad chiefly about users’behavior and propagation characteristic of Internet public opinion in different social media. While domestic research mainly focus on propagation and evolution laws of Internet public opinion in social media. In the future, big data analysis method of Internet public opinion in social media era and Internet public opinion propagation in the mobile context will be the frontier issues in its research development.

The paper had carried out quantitative statistics on relevant literature at home and abroad, resolved the current research hotspots, analyzed the new problems faced by scientific data sharing in the era of big data, and predicted some possible research directions. The authors found that, the research hotspots of scientific data sharing are mainly focused on ethical theory, ethical dilemmas, and causes governance measures and so on. In the era of big data, scientific data sharing faces new issues, such as data boundary expansion, various data structures, and blurred data rights. Future research can focus on issues such as the data divide, data pollution, data privacy protection, and data dissimilation.

The application idea and idea of digital twins in digital construction of material cultural heritage are put forward. This paper introduces the concept and development process of digital twins, probes into the commonness theory and common characteristics of the two fusions, analyzes their operation mechanism, and puts forward and analyzes the corresponding implementation scheme.Digital twin technology can be used to explore and predict the possible problems and status of the future of material cultural heritage, and then find better protection, inheritance, development and utilization of material heritage strategies and methods.

This paper aims to construct an explicit and consistent data governance system by a systematic review ofcore concepts, initiatives, strategies and achievable approaches from 10 representative academic papers with defini?tions of big data governance under a pluralistic thinking. The authors propose a complementary framework of data gover?nance system construction for a clear clarification on the contents and key elements for big data governance system con?struction. This study has theoretical contributions for common understandings on big data governance system buildingand has pragmatic implications for achieving consensus to effective communication among different stakeholders.

[Purpose/significance] The introduction of SOR theory in the field of library and Information Science (LIS) in China has achieved phased achievements. When it refers to SOR theory, related researches have discussed the con? notation and basic framework of it. In order to provide further reference for the normative application of SOR theory in LIS research, this paper attempts to systematically review the current domestic literature on the application of SOR the? ory in LIS research. [Method/process] The study analyzes the traceability, three-dimensional characteristics, applica? tion topics and application process of SOR theory in LIS field in China, aiming to clarify the applicability, advantages and limitations of SOR theory. [Result/conclusion] The results show that the majority of literature mainly focuses on the topic of information behavior, and the interpretation of factors and relations of stimulus and organism dimension can be divided into "direct interpretation" and "cooperative interpretation with other theories or models". In terms of theo? retical coordination, the stimulus dimension is mainly extended by the theories about "the behavior and motivations of users", while the organism dimension is combined with the theories about "the cognition and emotion of users", and the response dimension is developed from two perspectives of "approach- avoidance". Application topics include virtual knowledge community, social and business platform, mobile government platform and online platform of university li? brary, etc. And there are some differences in the core variables of each topic. Research design has a distinct characteris? tic of "method- process", which can be divided into qualitative, quantitative and mixed processes. Based on the re? search review, this paper proposes some suggestions for the future application of SOR theory in LIS field, such as using the theory critically, focusing on the antecedents of the stimulus dimension, expanding research of the organism and re? sponse dimension, and improving dynamic measures and data objectivity.

This article describes the connotation of the overall national security concept and the supporting role of traditional excellent Chinese culture in implementing the overall national security concept，and clarifies the strategic needs of the overall national security concept for intelligence work. It explains the content of the multi-factor winning logic system of the Art of War，and analyzes the guiding significance of the multi factor winning logic system of the Art of War to information work，summarizes the enlightenment of the philosophical theory of the Art of War on the construction of the national intelligence work system under the view of the overall national security concept. On this basis, puts forward the path and strategies of construction national intelligence work security system.

[Purpose/significance] Based on the SOR(Stimulus-Organism-Response) model, this study explored the ef? fect of social support on user engagement based on the mediating role of emotion in online health communities.[Meth? od/process] Taking social support as the "Stimulus" (S) factor and emotion as the " Organism "(O) factor, this paper studied the mechanism of users' " Response" (R).We obtained 465 337 posts by 244 users from an online health com? munity as sample data. The hierarchical regression analysis is used to test the conceptual model. [Result/conclusion] The results show that information support, emotional support and social support provided by the online health communi? ty had a positive impact on the users' engagement behavior. In addition, user emotion has a significant partial mediating effect on the relationship between social support and user engagement behavior, and this mediating effect is moderated by user gender, that is, the mediating effect of emotion has a greater impact on male users.

The overseas studies on scientific data sharing focus on several aspects, including the motivations and obstacles, the substantive influences, the cognition and the responsibility of different stakeholders, relative policy and law, scientific data sharing in the life cycle of data curation, the application and development of metadata and ontology. The key points in current researches of scientific data sharing are solutions of problems in the data sharing action, the influences of data sharing and the application of new information organization technology.

Effective management，development and utilization of scientific data is a vital work in the e - Science environment，data a curation is a continuous dynamic management activity，DC have important short - term benefits and long - term value，caused foreign scholars’s widespread concern . Foreign university communities and research institutions have carried out series of effective practice and exploration，library and information science schools have set up targeted DC education and training programs in order to shape the future DC profrssional，the operation main constituent of DC proposed improvement programs or strategic plans aiming at the present development situation to support the sustainable development of DC.

 

 

Based on the grounded theory, 46 interviewees were interviewed through personal in-depth interviews and focus group interviews, and the interview data was analyzed in three stages to construct an integrated analysis model of social media users' anxiety. User anxiety is affected by emotional cognition and experience, platform environment and operation quality. Under the effect of user personality traits, it is characterized by state anxiety and general anxiety. Anxiety further leads to the user's avoidance behavior. The intensity and behavior of the avoidance behavior are regulated by the characteristics of the individual's ability, and positive avoidance behavior or passive avoidance behavior occurs. Active avoidance behavior will have a feedback effect on the Weibo platform environment and the quality of Weibo operations when users use it personally.

Based on the perspective of CiteSpace knowledge mapping, this paper uses the literature of knowledge map?ping theory research and application in Web of Science and CSSCI as the research object, summarizes the current knowledge of hot research field based on the respective analysis of the domestic and foreign knowledge of hot cluster?ing, and makes some judgment on the trend of future development.

In this paper，it selected a WeChat user randonly，and listed theirs relationship between the friends to format user relationship network，and combined with the social theory to analyze. It finds that the relationships networks between WeChat users conforms to the characteristics of small world network，that clustering coefficient is high and the average path length is short . The user's status in the network are different，and user relationship shows a pattern of difference sequence . and there are strong and weak relationships . At the same time，based on geographical，geopolitical，interest and academic affiliation relationship，there are a large number of groups in the relationship network between WeChat users，and some groups have shared members . There are some communication and exchange between the groups，but in the network，users are more tend to internal communication than between the groups .

 

By searching the related papers at home and abroad, this paper analyzes the current concept of health information seeking behavior, research field and its effect on health behavior, and provide a theoretical basis for the subsequent empirical research.Health-seeking behavior resulted in health promotion and disease risk reduction.In addition, it led to predicting the future probable burden of the diseases, facilitation of the health status, early diagnosis, complete and effective treatment, and complication control.Health information seeking behavior may bring some negative influence to the society and the individual. The main negative effects are health anxiety (Cyberchondria), aggravating medical andpatientconflicts,andinfluencingmedicaldecision makingandmedicaleffects,wastingmedicalresourcesandsoon.

The paper compares the difference of the medical big data project home and abroad from the resource sharing subject,object,technology and mode, and hopes to promote the further development of medical resource utilization in China's big data era.

 [Purpose/significance] The purpose of this paper is to explore the cause and mechanism of social media herd information sharing behavior, and to provide a theoretical reference for the guidance of user information behavior, the supervision of public opinion information and the optimization of network information dissemination mechanism. [Method/process] This paper introduces the variables of self-efficacy in information screening, subjective norms, and information source credibility from the aspects of actors, situations or relationships and objective stimuli, and con? structs a theoretical model by combing the relationship between variables. Then, 262 valid data were collected by ques? tionnaire, and the partial least squares structural equation model (PLS-SEM) was used for data analysis and model veri? fication. [Result/conclusion] Self-efficacy in information screening, subjective norms and information source credibili? ty all have a significant positive impact on herd information sharing behavior of social media users, and in which the im? pact of subjective norms is the greatest. In addition, self-efficacy in information screening can negatively regulate the impact of subjective norms on herd information sharing behavior of social media, but cannot adjust the impact of infor? mation source credibility on herd information sharing behavior of social media. This study reveals the cause and mecha? nism for herd information sharing behavior of social media users, provides a reference for people to understand users' herd information behavior, provides a reasonable explanation for the phenomenon of "screen brushing" in social media, provides an example and scene for the application of triple degree attribution theory, and also provides strategic enlight? enment for service optimization and policy formulation of relevant parties, which has certain theoretical and practical significance.

[Purpose/significance] The author systematically sorts out the main research advances of the China’s library, information, and archives management community in 2019. [Method/process] It employs content analysis assisted with simple quantitative analysis, comprehensively and focusedly reviews the historical research of the first-level discipline in their career, research, and education in the 70 years since the founding of the People's Republic of China, digital humanities research, and the core knowledge, technology, and service changes in the context of data-driven research, and alsoreviews the research progress of library science, information science, and archival science in key areas in 2019 respectively. [Result/conclusion] The author argues that the discipline of library, information and archives management has achieved breakthroughs in academic research by adhering to the three major areas of closeness to the country's major needs, inheriting the core knowledge and missions of the discipline, and actively integrating the prac?
tice, research, and education of information professions.

Based on a comprehensive study and analysis of the domestic and overseas relevant literature, the paper combines with the research hotspot and research emphasis, summarizes and analyzes the contents of microblog user behavior research, to analyze user behavior from four aspects of theoretical foundation, motivation analysis, the basic characteristics of the micro-blog user behavior and prediction and impact of the user behavior; and at the same time it evaluates simply the research, but also proposes the focus and the main content on the microblog user behavior on the future.

The study explores college studets' health informationseeking bebavior on the Web by semi-structured in-depth interviews . Through open coding and descriptive statististics，the study analyzes users' seeking behavior patterns . According to the results of the interviews and case analysis，the study proposes users' three kinds of health information seeking behavior patterns which are encounter obtaining，problem solving，long-term focus on type . And the study analyzes the characteristics of the various patterns and influencing factors .

Firstly, the paper introduces the definitions and characteristics of smart library， and then，studies the risks and needs of the reader's personalized smart service based on big data. Finally, the author puts forward the personalized smart service system construction for digital library based on big data. The system can make its resources and services highly fused and integrated, the core concept of the smarter library is people-oriented and user demand-led, and provides personalized smart reading services for readers.

The paper gives a brief introduce to big data firstly, then discusses the usage practice of big data prompted by America, there are as followings: government leads and whole people mobilize so as to abet the research and development of big data; non-mercantilism organization and education institute expand public service making use of big data actively; the library area responds actively, researches and attempts using big data. Lastly, based on these, the paper analyzes the beneficial references for our country brought by American experiences with the view of library.

This paper selects three international accepted smart city knowledge center and intelligent centers for case studies, their context and initiatives, institutional strategies and collaboration mechanisms, technology systems and the applications are analyzed. Experiences of data, information and knowledge sharing across multi-dimensions, collaborations on comprehensive decision-making are synthesized. The study has implications to the construction of Chinese smart city knowledge center and its institutional systems.