Subjects: Library Science，Information Science >> Library Science submitted time 2024-04-03 Cooperative journals: 《农业图书情报学报》
Abstract： Purpose/Significance There is no shortage of discussions in the library industry on how the value of academic libraries can be reflected by affecting students’ learning outcome. There are also excellent cases such as the Value of Academic Libraries’ Initiative , which have a great impact on the theoretical and practical research in the field, and have initially formed a research system. Due to the differences in the higher education systems of different countries and the focus of higher education talent cultivation goals in different eras, it is necessary to consider the actual situation and based on the construction background of double first-class university construction to explore the paths and countermeasures that are in line with the development strategy of higher education in the new era of Chinese academic libraries. Scientific measurement and evaluation of academic library services from the student-oriented perspective is an important way to clarify the key path of library value enhancement, which is helpful for libraries to optimize their services, improve their development framework and enhance their own value. Process/Method In view of the above background and related research deficiencies, this research focuses on how academic libraries can improve their own value in the new era to better serve the strategic development of universities, and become the core of value for various stakeholders to discuss. Meanwhile, the methods used in related research lack the in-depth analysis of the process of library influence. In order to systematically sort out the internal logic of library impact on students’ learning outcome, it is essential to explore the role of process factors in it, and it is not enough to use only regression analysis to conduct data statistics. This study analyzed 985 questionnaires by using the structural equation model analysis method, built a student-oriented value impact model of academic libraries with situation-effect-outcome as the main line, and explored the key influencing factors. Results/Conclusions It is suggested that the academic libraries should enhance their value influence in the following four aspects: to strengthen the policy guidance to improve the service utilization rate of academic libraries, attach importance to the contribution and value of academic libraries in the construction of double first-class university service, study and build a service system that meets the needs of users, and strengthen the service support for double first-class university construction. In this study, the research area is set in the University of Chinese Academy of Sciences and the interviewees are set at the postgraduate education stage. Although it is representative to a certain extent, the sample scope is still limited. The applicability of the conclusions obtained from the empirical research needs to be further verified to improve the reliability of the conclusions. In the future, it is necessary to investigate the influence of more types of university libraries on students’ academic performance and the influence of university libraries on students’ academic performance at different stages of education. To verify whether school factors and the training level of students have an impact on the correlation between university libraries and students’ academic performance, and whether the causal relationship between the cognition and evaluation of students promoted by university libraries and students’ academic performance is applicable to all universities and students.
Subjects: Library Science，Information Science >> Information Science submitted time 2024-04-03 Cooperative journals: 《农业图书情报学报》
Abstract： Purpose/Significance Today, the methods of global technology cooperation have become diversified, while the patterns of knowledge and resource flows have become networked. The way knowledge flows between science and technology and promotes innovation is a hot topic in informatics research. Under such circumstances, the transfer and flow of technical knowledge has become increasingly important for the creation of new technologies and the generation of new knowledge. It can provide potential solutions for solving technical problems and generating technological competitive advantages. This study reveals the structural characteristics of the knowledge flow network between science and technology from a micro perspective, and provides new ideas for discovering new knowledge flow and communication channels, understanding the links between science and technology, and exploring innovation breakthroughs. Method/Process This paper adopts a multi-perspective approach and exames technical knowledge citation, scientific knowledge citation, and the intersection of scientific knowledge. Specifically, the study focuses on patent-patent citation, patent-paper citation, and paper-discipline co-occurrence, and uses a multi-layer network method to develop a science-technology (S&T) knowledge flow micro-network analysis framework. Through this framework, knowledge flow patterns between science and technology can be comprehensively explored. An empirical study was conducted in the field of genetically modified corn to investigate the knowledge flow patterns between science and technology. Using a multi-layered network model, this study aims to explore the relationship between science and technology from three different perspectives. Results/Conclusions The results of the study suggest that technology nodes that absorb multidisciplinary knowledge are more likely to engage in knowledge diffusion or absorption. Additionally, knowledge flow is more likely to occur between the technology nodes corresponding to two interdisciplinary subjects. The analytical framework proposed in our study can reveal the characteristics of knowledge flow from a micro perspective, and can identify two types of knowledge flow structures in the empirical case of genetically modified corn, which extends and enriches existing research on knowledge flow. In the future, the S&T knowledge flow research framework proposed in this study has the potential to be further extended and widely applied by incorporating different types of knowledge subjects, enriching knowledge attribute factors, and expanding knowledge flow paths. For instance, the research framework can be extended to broader fields to explore the relationship between knowledge flow patterns and the characteristics of these fields. It can also be used to explore knowledge flow patterns and potential technological breakthroughs at different flow levels and innovation themes. Such research can serve as a basis for innovation policy and provide theoretical support for the development of strategies and technology research directions.
submitted time 2024-04-03 Cooperative journals: 《农业图书情报学报》
Abstract： [Purpose/Significance] Identifying potential technological opportunities will help countries and enterprises seize scientific and technological opportunities, which is particularly important for innovation entities to enhance their core competitiveness and gain competitive advantages in scientific and technological innovation and application. A systematic review of existing research is provided on technology opportunity identification, discriminating current limitations and research prospects to provide theoretical support for further research and practice on technology opportunity identification. [Method/Process] This paper first clarifies the connotation and types of technology opportunities, and the research holds that technology opportunities can be divided into three types: emerging technology, blank technology and fusion technology. It then sorts out the research status of three different types of technology opportunity identification at home and abroad through literature review, and focuses on the summary of the characteristics of different types of technology opportunity identification. It includes the core ideas, main methods, representative literature, and each type of data sources, and evaluates the existing research results. Finally, the limitations of the current research, and the development direction of future are discussed. [Results/Conclusions] Diversified types of technology opportunity identification are found and rich research methods are used in the literature, and a relatively standardized and systematic research paradigm has come into being. By analyzing each type of technology opportunity, some common elements can be found, including representative methods, method principles, data sources, knowledge representation units, technology opportunity definitions, technology opportunity evaluation, advantages and disadvantages, and other characteristics. The main limitations of the existing research are summarized as follows. First, the existing research is primarily carried out from a single perspective view, and a complete system of cross-domain technology identification and reference methods has not yet been formed. Second, in terms of data sources, most of the data sources of technology opportunity identification are papers or patent data, and there is a lack of research on the integration of multi-source data and study on multiple relationships. In terms of identification methods, the representative technology is primarily at a macro or micro level, and the semantic relationship between words is seldom considered. Finally, in terms of post-evaluation, there is a lack of a comprehensive and systematic evaluation system. The possible research work in the future may focus on the following aspects: cross-field and cross-topic technology opportunity identification to achieve cross convergence among more technology elements will become the development trend; more diversified and targeted data sources, research methods, and research content are expected; the analysis framework and process will be more standardized, and the post-evaluation system will be improved.
Subjects: Other Disciplines >> Synthetic discipline submitted time 2023-03-31 Cooperative journals: 《农业图书情报学报》
Abstract： [Purpose/Significance] The aim of this paper is to identify open science capabilities and skills for researchers, build a capability framework of open science, and explore its development path, in order to improve the open science capabilities of team leaders and decision makers, researchers and scientific research support personnel in the open science ecosystem, and to provide reference for promoting open science and building an open science innovation ecosystem in our country. [Method/Process] In this paper, the relevant research on open science definition, open science capabilities, and competence model at home and abroad were analyzed and summarized. Based on the competency onion model, the open science capability framework was designed as three layers from the inside out: embracing open science values and principles and developing an open science mindset as the core layer, acquiring open science knowledge composed of open science elements as the second layer outside, and building open science skills embedded in the scientific research life cycle and data life cycle as the outermost layer. Then, the possible development methods were discussed. At last, libraries' role in the open science training was emphasized. [Results/Conclusions] The open science capability framework includes three dimensions. Firstly, embracing open science values, including quality and integrity, collective benefit, equity and fairness, and diversity and inclusiveness, and open science guiding principles covering transparency, scrutiny, critique and reproducibility, equality of opportunities, responsibility, respect and accountability, collaboration, participation and inclusion, flexibility and sustainability. Secondly, acquiring open science knowledge based on open science elements, including open science definitions, initiatives, best practices, implications, open access, open data (scientific research data, government data, and industry data), open scientific and technological reports, open educational resources, open scientific infrastructure (virtual and physical), open source code, open reproducible research, open peer review, open science evaluation, citizen science, and open science policy. Thirdly, building open science core competencies embedded in scientific research lifecycle and data lifecycle, including (1) open scholarly communication skills, which mean open publication literacy skills, like making the correct choices about where and how to publish their results, how and what to self-archive and how to communicate their research for scholarly and societal impact; (2) data science skills, which mean data management plan, research data management, data analysis, data sharing, and data storage skills; (3) scientific research literacy skills, which mean research management skills, research integrity and ethics skills, and legal skills; (4) citizen science skills, which mean researchers learn how to engage with citizens, and citizens learn how to conduct research. The open science capability development path includes formulating relevant policies, laws and strategic plans for skills building, strengthening open science promotion and training, and providing comprehensive support throughout the entire scientific research process. At the same time, the library is a key player in the construction of open science capacity, and should lead the design of a scientific and rational open science training system, and play an active role in promoting the paradigm shift of open science. In addition, this research has shortcomings due to time limitation, and we will continue to conduct in-depth research on open science capabilities and refine its indicators, in order to provide theoretical basis and reference for libraries to design open science training system and promote open science training in China.
Subjects: Other Disciplines >> Synthetic discipline submitted time 2023-03-31 Cooperative journals: 《农业图书情报学报》
Abstract： [Purpose/Significance] Open science is shaping a new academic innovation ecology, aiming to promote open exchange and use of knowledge, emphasize open and cooperative research methods, and thus accelerate scientific innovation. Open innovation emphasizes the flow of knowledge across organizational boundaries. Both of them have obvious internal consistency and regard the free flow of knowledge as the driving factor of innovation. However, there are few studies on the relationship between open science and open innovation at present. They are often studied separately in the scientific research environment and the enterprise environment, ignoring the common role and integration of the two in the open innovation ecology. This paper aims to analyze the consistency of the connotation of open science and open innovation, study the mechanism of open science for innovation ecology, and provide reference for building an open science innovation ecology integrating open science and open innovation, as well as for developing open science governance for scientific and technological innovation. [Method/Process] First, based on the existing connotation of open science, this paper established the connotation analysis framework of "resource-process-subject-behavior" of open science, and put forward four key elements and principles of open science: "openness of scientific knowledge resources - transparency of research process - inclusiveness of participants - collaboration of research behavior". Then it de-constructed open innovation according to the connotation analysis framework of open science, and put forward four key elements of innovation knowledge resources, innovation process, innovation subject and innovation activities, as well as the principle of transparent and open innovation knowledge resources and innovation process, and value of co-creation based on the inclusiveness of innovation subject. Finally, according to the four principles of open science, the "Open Science Spectrum" was established to clarify the consistency and synergy of both sides from the perspective of openness. Besides, in order to understand the joint action mechanism of open science and open innovation in the innovation ecology, this paper analyzes the open science innovation mechanism in different innovation stages from the perspective of innovation process, including the open science mechanism in the open science research stage, the mechanism in the technology research and development stage, the citizen science mechanism in the social inclusion stage, and the responsible innovation mechanism covering the whole process of innovation. [Results/Conclusions] The innovation ecology of open science has come into being. Open science and open innovation have consistency in connotation and synergy in openness. Under the open science innovation ecology, open science plays a role in different stages of innovation. Explicit knowledge and tacit knowledge are open and flowing in different stages of innovation, accelerating open science innovation, open innovation, public innovation and responsible innovation. The inadequacy of this paper is that the relevant research is still at the theoretical level. For example, the spectrum of open science needs to be refined to an assessable and operable granularity, and the mechanism of open science for innovation ecology also needs more cases to verify. At the same time, based on this research, we need to further explore the governance mechanism of open science under the innovation system and the linkage strategy of science, industry, society and policy under the open innovation ecology.
Subjects: Other Disciplines >> Synthetic discipline submitted time 2023-03-31 Cooperative journals: 《农业图书情报学报》
Abstract： [Purpose/Significance]VOSviewer is a software tool for constructing and visualizing bibliometric networks which may include citation, bibliographic coupling, co-citation, or co-authorship relations. VOSviewer Online creates the possibility to embed interactive visualizations on online platforms. The software's powerful functions in processing literature information, coupled with free and continuous improvement, are increasingly favored by experts and scholars in scientometrics and domain analysis. It provides a reference for users to use this tool for scientific research through quantitative analysis of VOSviewer's papers and the analysis of its knowledge base structure. [Method/Process] First we collected relevant documents from the Web of Science database, and then used the document co-citation network to obtain some documents and analyze the important documents in this field based on bibliometric analysis. [Results/Conclusions] It was found that the number of papers in this field has entered an explosive period of application after a relatively slow growth stage. It has been widely used by scholars in many countries and disciplines. The research topics involved the novel corona virus epidemic, sustainability, social media, sustainable development and supply chain, etc. Bibliometric theory and methods, software principles, database and network analysis have formed relatively solid research foundation in this field. There is also a great deal of misuse in the applied literature. For example, a survey of the highly productive scholars' papers found that the papers are often a direct interpretation of the results generated by the software, lacking the process of data cleaning and disambiguation, and there are a large number of errors such as duplicate authors, unprocessed singular and plural topics. VOSviewer also offers text mining functionality that can be used to construct and visualize co-occurrence networks of important terms extracted from a body of scientific literature. However, there are few applied research results in this area.VOSviewer Online has been integrated in Digital Science's Dimensions platform, making it very easy for Dimensions users to create VOSviewer visualizations of co-authorship networks and citation networks.
Subjects: Other Disciplines >> Synthetic discipline submitted time 2023-03-31 Cooperative journals: 《农业图书情报学报》
Abstract： [Purpose/Significance] The development of open science still faces many data ethical problems, and there is an urgent need to explore the ethical guidelines for data handling that are compatible with the open science innovation ecology. The establishment of ethical guidelines is essential to create a favorable open science innovation ecology for data handling that match the construction of open science innovation ecology, and guide the participants in the open science innovation ecology to act in accordance with legal regulations and ethical norms in the process of data creation, sharing, dissemination, and utilization, and restraining data handling behaviors for the good and benefit of society. [Method/Process] This study first uses literature research and content analysis, based on relevant laws, guidelines, draft frameworks, policies and typical data management models on data handling ethics, from a universal perspective, based on the practice of data acquisition, storage, management, use and destruction, for social data in a broad sense, while taking into account a part of scientific research data, correlating and integrating different guidelines, seeking common themes and contents among existing guidelines, and summarizing the general dimensions and highly recognized guidelines. This study summarizes the general dimensions of ethical guidelines for data handling and the contents of the guidelines with high recognition. Second, this study combines the concept of open science and the needs of national social development, and distills the needs of ethical guidelines for data handling in the open science innovation ecosystem from the latest domestic planning policies and the connotation of open science. Finally, this study synthesizes and compares the two results through matrix analysis, and analyzes the framework of ethical guidelines for data handling in the construction of open science innovation ecology from the perspectives of commonality and characteristics, and synergy between guideline contents and policies and concepts. [Results/Conclusions] The existing ethical guidelines for data handling have high applicability in the open science innovation ecology, but still need dynamic expansion. Combining the concept of open science and the development needs of national society, this study proposes a framework of ethical guidelines for data handling in the open science innovation ecology, including three dimensions and 15 elements of long-term governance, coordination and order, and systematic science, aiming to serve the further development of the text of ethical guidelines for data handling adapted to the development of the open science innovation ecology in China and to provide some reference for data management in institutions.
Subjects: Other Disciplines >> Synthetic discipline submitted time 2023-03-31 Cooperative journals: 《农业图书情报学报》
Abstract： [Purpose/Significance] At present, there is relatively little research on the open science (OS) policy at the level of scientific research institutions in China, while some preliminary explorations have been made abroad. The text analysis of OS policies of representative scientific research institutions and lessons drawn from their policy making experience can provide a good reference for the formulation of OS policies by Chinese scientific research institutions. It gives play to the main role of scientific research institutions in the OS process, and promotes the practice of OS from bottom to top. [Method/Process] Based on the perspective of policy tools, this paper uses the content analysis method to conduct quantitative analysis on 12 OS policy texts published by international scientific research institutions. It establishes an X -Y two-dimensional analysis framework for OS policy of scientific research institutions. The content analysis categories are as follows: policy instrument dimension (X dimension) - authority, incentive, symbol and exhortation, capacity building, and system change; OS content factor dimension (Y dimension) - open content, open process, open infrastructure, and open cooperation. This paper carries out research through the X -Y two-dimensional analysis framework, aiming to reveal the use of policy tool preferences and policy content focus on the tendency, refining the key factors of research institutions' OS policy, putting forward the policy tool optimization strategy and providing insights into Chinese scientific research institutions in formulating OS policies. [Results/Conclusions] From the dimension of policy tools, capacity building tools are more used, followed by authority tools, and other policy tools are less used. From the dimension of OS content elements, the eight themes of open data, open access, OS education and training, open cooperation, open evaluation, open infrastructure, open incentive and citizen science are the main concerns in the OS policies issued by international research institutions. The use of OS policy tools in scientific research institutions should coordinate with each other, optimize the combination of policy tools; try to solve the actual problems, strengthen the internal balance of policy tools; adjust measures to local conditions and make full use of differences in policy tools. In formulating OS policies, scientific research institutions should further integrate themselves into the international OS tide, understand the development trend, and ensure the forward-looking of policies; adjust and optimize the organizational structure, clarify the division of responsibilities, and promote open scientific practice in an overall way; the core elements and key issues of OS policies should be grasped when formulating policies; and in the process of policy formulation and implementation, they should ensure the investment of funds, as well as timely dynamic adjustment.
Hits
Hits
Downloads
Comment