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Journal articles on the topic 'Scientific knowledge sharing'

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Published: 4 June 2021

Last updated: 1 February 2022

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Siñeriz, Faustino. "Knowledge sharing (or a life of knowledge sharing)." Journal of Science Communication 04, no. 03 (2005): C06. http://dx.doi.org/10.22323/2.04030306.

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I have been involved in College education since my days as a student in the Universidad de Buenos Aires. At that time, 1960, I helped to teach the course of Scientific Russian given in the Faculty of Sciences; strange as it might seem, the aim of the course was to allow the students to use scientific books especially in the area of Physics and Mathematics.

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Obrenovic, Bojan, Slobodan Obrenovic, and Akmal Hudaykulov. "The value of knowledge sharing: impact of tacit and explicit knowledge sharing on team performance of scientists." International Journal of Management Science and Business Administration 1, no. 2 (2015): 33–52. http://dx.doi.org/10.18775/ijmsba.1849-5664-5419.2014.12.1003.

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Knowledge sharing that takes place among team members is a process of great relevance that builds ties and relationships which in turn results in positive organizational and team outcomes. However, as it is not usually formally included in the job descriptions and is not a formal part of organizations’ and team activities, it is considered to be an organization citizenship behavior. Our paper emphasizes significance of tacit and explicit knowledge sharing to team performance in the context of scientific cooperation. Positive relationship between tacit knowledge sharing and explicit knowledge sharing with team performance was found using linear regression. Furthermore, high levels of knowledge sharing and team performance were identified among scientists.

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Al-Busaidi, Kamla Ali, and Lorne Olfman. "Knowledge sharing through inter-organizational knowledge sharing systems." VINE Journal of Information and Knowledge Management Systems 47, no. 1 (2017): 110–36. http://dx.doi.org/10.1108/vjikms-05-2016-0019.

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Purpose Inter-organizational knowledge sharing systems (IOKSS) are crucial for scientific, social and economic development especially in knowledge-intensive sectors. Knowledge sharing processes and systems will not only be challenged by individual and organizational factors but also by social, technical and political inter-organizational factors. This paper aims to investigate the impact of knowledge worker, peer, IOKSS, organization and sector factors on knowledge workers’ intention to share knowledge through IOKSS. Knowledge workers are the key stakeholders that enable the survival of IOKSS. Design/methodology/approach Data were collected, through a questionnaire, from knowledge workers in the education and the health sectors. Findings This study found that the human factors (related to knowledge workers and their peers) have significant direct impact on intention to share knowledge through IOKSS. Other factors, such as IOKSS system, organization and sector factors showed indirect impacts on knowledge workers’ intention to share knowledge through IOKSS. Such investigation can be very valuable for developing countries as technological innovations such as IOKSS can be crucial for training and building human resources, and national knowledge management. Originality/value Little is empirically known about the enablers of sharing knowledge in systems that connect organizations in horizontal linkage in a specific sector or industry. The study also adds value to under investigated region.

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Evans, James A. "Industry collaboration, scientific sharing, and the dissemination of knowledge." Social Studies of Science 40, no. 5 (2010): 757–91. http://dx.doi.org/10.1177/0306312710379931.

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Wang, Guohao, and Liying Yu. "Differential Game Analysis of Scientific Crowdsourcing on Knowledge Transfer." Sustainability 11, no. 10 (2019): 2735. http://dx.doi.org/10.3390/su11102735.

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Scientific crowdsourcing based on knowledge transfer between enterprises has drawn wide attention. This paper constructs the Stackelberg master–slave game model and the benefit sharing model. Through the model comparison and numerical simulation, the knowledge transfer behavior and the revenue distribution mechanism of crowdsourcing initiator and solver in the context of scientific crowdsourcing are studied. The research shows that the knowledge transfer quality and the crowdsourcing total revenue under the benefit sharing state are better than the Stackelberg master–slave game under the leadership of the crowdsourcing initiator and when the revenue distribution coefficient between the crowdsourcing initiator and solver is within a certain range. The final revenue for each party in the benefit sharing state is higher than the one in the Stackelberg master–slave game state. In addition, the research finds that the knowledge coupling degree between the initiator and the solver has a positive impact on knowledge transfer and crowdsourcing benefits. The conclusions of this paper provide a theoretical basis for enterprises, especially for large-scale high-tech business to business enterprises, to transfer knowledge and distribute revenue and eventually improve their scientific crowdsourcing quality.

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Julpisit, Attipa, and Vatcharaporn Esichaikul. "A collaborative system to improve knowledge sharing in scientific research projects." Information Development 35, no. 4 (2018): 624–38. http://dx.doi.org/10.1177/0266666918779240.

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As knowledge sharing is important for every sector, it should be encouraged among team members. Particularly, scientific research projects usually involve knowledge-intensive teams that require members to share various knowledge forms while working together. Although several collaborative systems exist on different platforms, the system features required to improve knowledge sharing between researchers are insufficient. A collaborative system, the Research Collaboration System, designed and developed based on identified collaborative activities and the SECI model, is evaluated by two scientific research projects. Preliminary results show that this system could serve all major research activities of scientific research projects and enhance knowledge sharing.

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Canevarolo, Sebastião V. "Polímeros, 25 years sharing scientific knowledge within the polymer community." Polímeros 26, no. 4 (2016): E1. http://dx.doi.org/10.1590/0104-1428.2604.

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Nabuco, Olga, João Maurício Rosário, José Reinaldo Silva, and Khalil Drira. "Scientific Collaboration and Knowledge Sharing in the Virtual Manufacturing Network." IFAC Proceedings Volumes 37, no. 4 (2004): 587–92. http://dx.doi.org/10.1016/s1474-6670(17)36178-5.

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Lepp, Margret. "Inviting and sharing caring scientific knowledge from an international arena." Scandinavian Journal of Caring Sciences 23, no. 2 (2009): 209–10. http://dx.doi.org/10.1111/j.1471-6712.2009.00702.x.

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Cikic, Sabine, Sabina Jeschke, Nadine Ludwig, Uwe Sinha, and Christian Thomsen. "Networked experiments and scientific resource sharing in cooperative knowledge spaces." Interactive Technology and Smart Education 4, no. 1 (2007): 19–30. http://dx.doi.org/10.1108/17415650780000074.

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Grasswick, Heidi E. "Scientific and lay communities: earning epistemic trust through knowledge sharing." Synthese 177, no. 3 (2010): 387–409. http://dx.doi.org/10.1007/s11229-010-9789-0.

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Queiroz, Fernanda Cristina Barbosa Pereira, Yan Sávio Alves da Costa, Jamerson Viegas Queiroz, Nilton Cesar Lima, Christian Luiz da Silva, and Marciano Furukava. "SHARING INFORMATION AND KNOWLEDGE BETWEEN BRAZILIAN RESEARCHERS." International Journal for Innovation Education and Research 8, no. 3 (2020): 435–51. http://dx.doi.org/10.31686/ijier.vol8.iss3.2255.

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The CIC among Brazilian researchers refers to the activity of providing information and knowledge that enables the joint work of experts for the resolution of problems and development of new ideas or theories, which usually result in joint scientific publications. Thus, the objective of this article is to elaborate a model that relates the factors that influence the diffusion of the CIC among Brazilian researchers in the modality "productivity" of CNPq, as mechanisms for generating innovations and new knowledge, measured by scientific production. As for the method, in a first moment a bibliographic research was carried out to evaluate existing models in the literature regarding the determining factors of the ICC on the capacity of innovation and generation of innovations in the HEIs, especially in the research groups. Next, the structural and measurement model was elaborated and validated using an online questionnaire for data collection, with five-point likert questions, sent to researchers in the productivity modality in research, levels SR, 2, 1A, 1B and 1C of CNPq. The questionnaire was answered by 262 researchers and the collected data were analyzed using the SEM analysis instrument based on PLS. The results found indicated that the hypotheses of the model were accepted. The results revealed that the individual characteristics of the researchers, the organizational characteristics and the technology contribute to the CIC, which in turn favors the generation of publications and promotion of knowledge. In addition, individual characteristics and publications contribute to the advancement of innovation.

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Gelenbe, Erol, Guy Brasseur, Luc Chefneux, et al. "On sharing knowledge and fostering "open science"." Ubiquity 2021, May (2021): 1–13. http://dx.doi.org/10.1145/3462221.

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The crucial importance of science and technology and its accurate peer reviewed dissemination, has once again been demonstrated during the current pandemic. Thus the COVID-19 pandemic together with the inevitable energy transition required by climate change, lead us to consider the issue of scientific and technical communication, both for the written papers and proceedings that have largely moved online (but not always in open access), and the various types of seminars, workshops, and symposia that frequently involve air travel with substantial CO2 impact. Online meetings that have become recently very popular, as well as online repositories for publications, themselves have a significant CO2---as well as environmental---impact, due to the massive use of electricity by information and communication technologies (ICT) and of the environmentally unfriendly manufacturing processes and decommissioning of ICT equipment. Presented is a broad overview of these aspects, and some recommendations regarding the future organization of scientific and technical communication, including: (1) peer-reviewed journals and proceedings with online open access; (2) the importance of face to face seminars and symposia, together with online meetings, to maintain the serendipity and importance of direct human contact while reducing the need for air travel; (3) the peer evaluation of research and of academic and research staff and its dependence on publications and their qualitative---rather than excessively quantitative---evaluation, where the concept of impact should include the usefulness of research to education, industry and society; (4) and the crucial role of ICT in all these aspects and the questions raised by the sustainability of ICT itself.

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Frenken, Koen. "Geography of scientific knowledge: A proximity approach." Quantitative Science Studies 1, no. 3 (2020): 1007–16. http://dx.doi.org/10.1162/qss_a_00058.

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Proximity among scientists in social, cognitive, and physical dimensions promotes the sharing of tacit knowledge. Tacit knowledge helps scientists to understand the credibility of papers they read and to use the results in subsequent research. Hence, given the proximity among scientists in social, cognitive, and physical dimensions, one can predict patterns of diffusion in science. However, for controversial knowledge claims to become replicated, one expects the proximity between scientists itself to change as like-minded scientists relocate and create new coalitions. Proximity can thus be used as a unifying concept for the study of scientific knowledge diffusion as well as for the analysis of mobility of scientists.

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Davidavičienė, Vida, Khaled Al Majzoub, and Ieva Meidute-Kavaliauskiene. "Factors Affecting Knowledge Sharing in Virtual Teams." Sustainability 12, no. 17 (2020): 6917. http://dx.doi.org/10.3390/su12176917.

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The development and use of information and communications technology (ICT) are growing at a rapid speed across the world. ICT has been the cause for new types of work arrangements, such as virtual organizations, virtual teams, teleworking, etc. Virtual teams provide organizations with competitive advantage by enabling them to hire talented people across the world and eliminating the need for physical availability in the office. However, one major issue hindering the productivity of the virtual team is knowledge sharing. The lack of proper knowledge sharing between team members may cause organizations to fail with regards to the implementation of successful strategies. The research into understanding knowledge sharing in virtual teams (VT) in the Middle East is lacking. While such studies have been done in the United States and Europe, the Middle East has been overlooked. In this study, the authors assume that there are some specific behavioral aspects of VT in the Middle East that create the need for specific scientific solutions. Accordingly, this study was conducted in the Middle East in order to gain scientific knowledge on the region’s specificity. The objective of this article is to create a model for the evaluation of the effect on knowledge sharing in virtual teams in the Middle East. For analysis, the selection of companies includes United Arab Emirates (UAE)-based companies in the IT industry whose businesses engage in VT. The results show that the following factors have a direct effect on knowledge sharing in VT: Culture, motivation, conflict, ICT, trust, and leadership. Conversely, the results do not demonstrate that language has any impact on knowledge sharing. The methodology used is as follows: Literature review, survey methods, and structural equation modeling.

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Chen, Chih-Chung. "Factors Affecting High School Teachers' Knowledge-Sharing Behaviors." Social Behavior and Personality: an international journal 39, no. 7 (2011): 993–1008. http://dx.doi.org/10.2224/sbp.2011.39.7.993.

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In this research the knowledge-sharing behaviors of high school teachers were explored. Using planned behavior theory based on a scientific literature review, several exogenous variables were identified, such as organizational climate and resource fit. Regression analysis was used to examine the hypotheses; all hypotheses were supported. Based on the results, all added exogenous variables have an identical effect on teachers' knowledge-sharing behaviors.

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Sufian, Sandy. "Colonial Malariology, Medical Borders, and Sharing Scientific Knowledge in Mandatory Palestine." Science in Context 19, no. 3 (2006): 381–400. http://dx.doi.org/10.1017/s0269889706000986.

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ArgumentThis article focuses on the specific ways in which Zionist scientists studying malaria in Mandatory Palestine (1920–1947) presented their work to international scientific circles, moving between the transnational aspects and the local aspects of their work on malaria while suffusing that work with nationalist meanings. This slippery yet seemingly unproblematic movement between the general and the specific, between the colonial world and Palestine, was a necessary mechanism of scientific exchange. In the Zionist case the work on malaria for these scientists was both a marker of their belief in progress and also a sign of their devotion to a specific political and social project. The knowledge imparted by Zionist malariologists and the international reception it received lent scientific legitimacy to the Zionist project while it advanced the goals of settling the land and defining the communal borders within Palestine between the Arab population and the Jewish one. In this way, the Zionist anti-malaria project in Palestine holds a unique place in malaria research of the time.

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Alvarez-Meaza, Izaskun, Naiara Pikatza-Gorrotxategi, and Rosa Maria Rio-Belver. "Knowledge Sharing and Transfer in an Open Innovation Context: Mapping Scientific Evolution." Journal of Open Innovation: Technology, Market, and Complexity 6, no. 4 (2020): 186. http://dx.doi.org/10.3390/joitmc6040186.

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The essence of innovation lies in knowledge, which is why open innovation opens the door to knowledge transfer with agents outside the organization. In order to comprehend the joint scientific trajectory of these two areas of knowledge, the aim of this study is to identify and analyze the main indicators of scientific behavior involved in the research field related to the link between open innovation and knowledge transfer or knowledge sharing concepts through bibliometric and network analysis. The results show clear European leadership in scientific production developed in universities. In addition, the high quality of the main sources of diffusion infers publications of good scientific quality. The most recognized source of knowledge used in new research is directed towards university-company relationships in an open innovation environment. Network analysis related to keywords has allowed us to define the most interesting, relevant fields of research, highlighting the importance acquired by topics such as ‘communication’, ‘inter-organizational context’ and ‘education’, to better focus on future research of the scientific community. It can be concluded that the scientific development of both concepts is an active field in the academic community, and also, that new key terms appear, opening new paths of research.

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Zaffar, Fahd-Omair, and Ahmad Ghazawneh. "Objectified Knowledge through Social Media." International Journal of Information Communication Technologies and Human Development 5, no. 3 (2013): 1–17. http://dx.doi.org/10.4018/jicthd.2013070101.

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The developments of new technologies, new scientific initiatives and a new globalized market are giving rise to new forms of collaboration, referred to as mass collaboration. This phenomenon is mainly derived from communities and self-organization, and is based on Web 2.0 technologies, services and tools. This new form of collaboration and technologies are giving rise of emergent social software platforms (ESSP’s) that are adopted by firms worldwide. The main aim of this research is to understand how firms are using such new technologies and collaborative efforts to assist knowledge sharing to achieve objectified knowledge. Central to this research is the proposed knowledge sharing cycle model, which has three main stages - internalization, externalization, and objectification. This model is adapted based on the findings of a case study of internal social media strategy of IBM Corporation. The findings indicate that ESSP’s can be used to support knowledge sharing practices and to help convert knowledge into its different forms in enhancing knowledge acquisition.

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Mazzonetto, Marzia, and Peter McGrath. "Science communication between scientists and publics in developing countries. A knowledge-sharing experience." Journal of Science Communication 04, no. 03 (2005): C01. http://dx.doi.org/10.22323/2.04030301.

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How does knowledge sharing affect scientists' everyday work in developing countries? And how important is it for the development not only of new scientific research, but also for improving the living conditions of local inhabitants? These are the questions that a group of scientists met to discuss during an international workshop on Knowledge Sharing for Local Development in the South held in Trieste, Italy (4-6 July 2005). Based on their personal experiences, their thoughts and opinions create an interesting insight into new practices for the public communication of science, medicine and technology from a point of view that is often under-estimated: the one of the scientists themselves. The workshop, organized by the Third World Network of Scientific Organizations (TWNSO) and the United Nations Development Programme's Special Unit for South-South Cooperation (UNDP-SSC), showcased 15 case studies that utilized a variety of knowledge sharing methods, and, in doing so, highlighted the critical role that knowledge sharing plays in sustainable development. For more information: http://www.twnso.org

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Gerbin, Ani, and Mateja Drnovsek. "Knowledge-sharing restrictions in the life sciences: personal and context-specific factors in academia–industry knowledge transfer." Journal of Knowledge Management 24, no. 7 (2020): 1533–57. http://dx.doi.org/10.1108/jkm-11-2019-0651.

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Purpose Knowledge sharing in research communities has been considered indispensable to progress in science. The aim of this paper is to analyze the mechanisms restricting knowledge sharing in science. It considers three categories of academia–industry knowledge transfer and a range of individual and contextual variables as possible predictors of knowledge-sharing restrictions. Design/methodology/approach A unique empirical data sample was collected based on a survey among 212 life science researchers affiliated with universities and other non-profit research institutions. A rich descriptive analysis was followed by binominal regression analysis, including relevant checks for the robustness of the results. Findings Researchers in academia who actively collaborate with industry are more likely to omit relevant content from publications in co-authorship with other academic researchers; delay their co-authored publications, exclude relevant content during public presentations; and deny requests for access to their unpublished and published knowledge. Practical implications This study informs policymakers that different types of knowledge-sharing restrictions are predicted by different individual and contextual factors, which suggests that policies concerning academia–industry knowledge and technology transfer should be tailored to contextual specificities. Originality/value This study contributes new predictors of knowledge-sharing restrictions to the literature on academia–industry interactions, including outcome expectations, trust and sharing climate. This study augments the knowledge management literature by separately considering the roles of various academic knowledge-transfer activities in instigating different types of knowledge-sharing restrictions in scientific research.

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Geary, Andrew. "Honoring volunteers and sharing knowledge on the SEG Wiki." Leading Edge 38, no. 1 (2019): 69–72. http://dx.doi.org/10.1190/tle38010069.1.

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The SEG Wiki serves as a key foundation of the Society to engage the membership, the geoscience community, and the public in all-things applied geophysics. The wiki's main mission is to supply scientific material to the geoscience community and the public through online books, geophysical tutorials, geoscience articles, and biographies of geoscientists. SEG's two best-selling books are provided open and free of charge on the wiki. They include the Encyclopedic Dictionary of Applied Geophysics by Robert E. Sheriff and Seismic Data Analysis by Öz Yilmaz. A third book, Problems in Exploration Seismology and Their Solutions by L. P. Geldart and Robert E. Sheriff, will be added soon.

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Farshidi, Siamak, Xiaofeng Liao, Na Li, et al. "Knowledge sharing and discovery across heterogeneous research infrastructures." Open Research Europe 1 (June 14, 2021): 68. http://dx.doi.org/10.12688/openreseurope.13677.1.

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Research infrastructures play an increasingly essential role in scientific research. They provide rich data sources for scientists, such as services and software packages, via catalog and virtual research environments. However, such research infrastructures are typically domain-specific and often not connected. Accordingly, researchers and practitioners face fundamental challenges introduced by fragmented knowledge from heterogeneous, autonomous sources with complicated and uncertain relations in particular research domains. Additionally, the exponential growth rate of knowledge in a specific domain surpasses human experts’ ability to formalize and capture tacit and explicit knowledge efficiently. Thus, a knowledge management system is required to discover knowledge effectively, automate the knowledge acquisition based on artificial intelligence approaches, integrate the captured knowledge, and deliver consistent knowledge to agents, research communities, and end-users. In this study, we present the development process of a knowledge management system for ENVironmental Research Infrastructures, which are crucial pillars for environmental scientists in their quest for understanding and interpreting the complex Earth System. Furthermore, we report the challenges we have faced and discuss the lessons learned during the development process.

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Gil, Yolanda. "From Data to Knowledge to Discoveries: Artificial Intelligence and Scientific Workflows." Scientific Programming 17, no. 3 (2009): 231–46. http://dx.doi.org/10.1155/2009/167604.

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Scientific computing has entered a new era of scale and sharing with the arrival of cyberinfrastructure facilities for computational experimentation. A key emerging concept is scientific workflows, which provide a declarative representation of complex scientific applications that can be automatically managed and executed in distributed shared resources. In the coming decades, computational experimentation will push the boundaries of current cyberinfrastructure in terms of inter-disciplinary scope and integrative models of scientific phenomena under study. This paper argues that knowledge-rich workflow environments will provide necessary capabilities for that vision by assisting scientists to validate and vet complex analysis processes and by automating important aspects of scientific exploration and discovery.

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Oktaviany, Feny, Frida Philiyanti, and Viana Meilani Prasetio. "Implementation of Active Knowledge Sharing Strategy in Intermediate Level Dokkai through Scientific Approach." JAPANEDU: Jurnal Pendidikan dan Pengajaran Bahasa Jepang 5, no. 1 (2020): 9–14. http://dx.doi.org/10.17509/japanedu.v5i1.23757.

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This study aims to determine the effectiveness and to find out the advantages and disadvantages of the Active Knowledge Sharing strategy through a scientific approach in the Dokkai. In learning Japanese, learners often encountered difficulties in reading comprehension or Dokkai. Based on a questionnaire, the difficulties including reading kanji, followed by vocabulary competence and grammar competence. On the other hand, the time limitation in class cause problems of learning method which teacher rarely provide an introduction step to students in the form of questions or vocabulary exercises related to the reading material they will deal with. To overcome this problem, we need a learning strategy that emphasize the cooperative learning among students to achieve the objective of comprehending a reading. We chose the strategy initiated by Silberman (2013), namely Active Knowledge Sharing, as a good way to introduce students to the subject matter that will be learned. In addition, by monitoring how students solving each other's problems in team, teacher can evaluate how much knowledge they have. In this study a scientific approach is complemented to support the active learning in this strategy. The study conducted using an experimental method with pretest and posttest design. The sample are 38 students of fifth semester students who take Dokkai III course. Based on the analysis of research data, it found that the Active Knowledge Sharing strategy through a scientific approach is effective in learning Dokkai III. The advantages are that students who are initially passive become actively participate in learning and students can also answer the meaning of vocabulary without depending on dictionary or smartphones, and students are encouraged to help each other in solving problems which help students to comprehend the contents of reading easier and faster. However there are the disadvantages of this strategy such as inability to enhance student’s critical thinking and less suitable for students who are more focused if studying alone.

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황금주. "A typology of Collaboration Modes for Scientific and Technological Knowledge Production and Sharing." Knowledge Management Society of Korea 11, no. 2 (2010): 133–52. http://dx.doi.org/10.15813/kmr.2010.11.2.008.

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Abideen, P. Sainul. "Towards an open and flexible e-journal gateway for effective scientific knowledge sharing." Information Studies 21, no. 1 (2015): 7. http://dx.doi.org/10.5958/0976-1934.2015.00001.4.

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Fierro Moreno, Erendira, Rigoberto García-Contreras, and Minerva Martínez Ávila. "Organizational Performance: the mediating effect of the knowledge sharing." OBETS. Revista de Ciencias Sociales 12, no. 1 (2017): 169. http://dx.doi.org/10.14198/obets2017.12.1.07.

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The aim of this scientific paper is to determine the extent to which knowledge sharing mediates the relationship between knowledge donating and organizational performance. Based on literature review and relying on the theoretical perspective “Knowledge Based View” the research hypotheses were formulated. Through a transactional study and with Mexican organizations of the Public sector through the perception of 239 public servants the hypotheses were supported. A multivariate analysis (SEM) was performed. The results of this research confirm that knowledge collecting influences knowledge sharing only when it is related to knowledge donating, and confirm that knowledge sharing is a mediating variable between knowledge donating and organizational performance. This research leads us to prove that in the public sector organizations the strategic direction of organizations must be reoriented towards their internal resources as the source of organizational effectiveness.

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Perié, Leïla, Livio Riboli-Sasco, and Claire Ribrault. "Straight into conflict zones, scientific research empowers the minds." Journal of Science Communication 13, no. 02 (2014): C05. http://dx.doi.org/10.22323/2.13020305.

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Sharing scientific knowledge in conflict zones may not sound like a priority. Still science communicators can contribute to address social issues by inviting people to experience research practice, engaging them in scientific questioning and constructive dialog.

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Bai, H. T., J. Zhu, W. Chen, and H. Chen. "Knowledge Management for Emergence." Applied Mechanics and Materials 743 (March 2015): 590–93. http://dx.doi.org/10.4028/www.scientific.net/amm.743.590.

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As the emergence phenomenon reflects the process of knowledge creation. Knowledge Management (KM) technology is naturally taken into account. The characteristic of emergence has brought new requirements for implementing KM. After they have been sufficiently analyzed, a knowledge resource management method based on ontology cloud model is put forward. The method is a set of scientific and effective management solution, which consists of expressing knowledge from emergence, defining knowledge evolution process, and sharing knowledge to promote emergence. This method is a good thought for making use of emergence and good for innovation.

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Rittman, Martyn, and Franck Vazquez. "J—A Multidisciplinary Open Access Journal to Accelerate Scientific Communication." J 1, no. 1 (2018): 1. http://dx.doi.org/10.3390/j1010001.

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At its best, academic publishing facilitates the communication of the latest research results, accelerates sharing new and verified knowledge, and creates synergies between researchers in answering society’s most fundamental questions.[...]

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Merzagora, Matteo. "Science centres and science engagement activities as research facilities: blurring the frontiers between knowledge production and knowledge sharing." Journal of Science Communication 16, no. 02 (2017): E. http://dx.doi.org/10.22323/2.16020501.

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The future challenges within science communication lie in a 'grey area' where the frontiers between production and sharing of knowledge are blurred. An area in which we can satisfy at the same time and within the same activity the autonomous interests of researchers and those of other stakeholders, including lay publics. Settings are emerging, where we can provide real contribution to scientific research and at the same time facilitate the publics in their process of hacking scientific knowledge to serve autonomously defined and often unpredictable functions. Some are linked to research institutes, others to science centres, others are precisely inbetween. This editorial explores why these special places are needed, and present some case studies, leading to the need of interpreting science culture centres as research facilities.

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Huang, Lan, Jing Zhang, Kai Feng, et al. "Building a Scientific Social Network with Joomla!" Applied Mechanics and Materials 687-691 (November 2014): 2316–19. http://dx.doi.org/10.4028/www.scientific.net/amm.687-691.2316.

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We live in a society in rapid development of technology, social networking sites that we use almost every day, but the main purpose of these social networks are not sharing knowledge within the university campus to share knowledge and learn from the experience is very important. Joomla! is an internationally renowned content management system, which is based on the framework of the PHP language and MySql database. In this paper, we based on Joomla! and with MySql database management system designed and implemented a campus social network, designed to create a favorable environment for teachers and student exchanges and cooperation.

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Rusnilawati, Rusnilawati. "Pengembangan perangkat pembelajaran matematika bercirikan active knowledge sharing dengan pendekatan saintifik kelas VIII." Jurnal Riset Pendidikan Matematika 3, no. 2 (2016): 245. http://dx.doi.org/10.21831/jrpm.v3i2.10633.

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Tujuan penelitian ini adalah untuk menghasilkan perangkat pembelajaran bercirikan Active Knowledge Sharing dengan pendekatan saintifik dalam upaya meningkatkan pengetahuan, kemampuanpemecahan masalah, dan sikap terhadap matematika siswa SMP Kelas VIII Semester 2 yang valid, praktis, dan efektif. Jenis penelitian ini adalah penelitian pengembangan (Development Research). Penelitian ini mengembangkan perangkat pembelajaran yang meliputi: silabus; Rencana Pelaksanaan Pembelajaran (RPP); dan Lembar Kegiatan Siswa (LKS) dengan menggunakan model pengembangan 4-D yang dikembangkan oleh Thiagarajan, Semmel, dan Semmel. Hasil validasi menunjukkan perangkat yang dikembangkan layak digunakan dengan kategori sangat baik. Hasil uji coba menunjukkan bahwa perangkat yang dikembangkan praktis dan efektif. Ketuntasan belajar secara klasikal sudah mencapai kriteria minimal 80% yaitu untuk tes pengetahuan mencapai 97,2%, sedangkan tes pemecahan masalah mencapai 95,4%. Berdasarkan angket sikap terhadap matematika, 98,1% siswa menunjukkan peningkatan skor sikap terhadap matematika, dan 94,4% siswa menunjukkan sikap terhadap matematika dengan kategori minimal baik.Kata Kunci: pengembangan, active knowledge sharing, saintifik Developing the learning kit characterized by active knowledge sharing with scientific approach for grade VIII AbstractThis research aimed to produce valid, practical, and effective learning kit characterized by Active Knowledge Sharing with Scientific Approach, as an effort to improve knowledge, problem-solving skills, and attitudes toward mathematics among Junior High School students in Class VIII Semester 2. This was a research and developmental study. The learning kit developed consist of: syllabus; lesson plans; and students worksheets. This developmental study refers to the model 4-D suggested by Thiangarajan, Semmel & Semmel. The results of the validation shows that the kit developed was valid with “very good” category. The experimental results show that the kit developed was practical and effective. Classical learning completeness reached at least 80% criterion for the test of knowledge 97.2%, while the troubleshooting tests reached 95.4%. Based on the questionnaire attitudes towards mathematics, 98.1% of students show increased scores for attitudes toward mathematics and 94.4% of students show attitudes towards mathematics with minimum category of good.Keywords: developmental study, active knowledge sharing, scientific

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Carminati, Federico, Denis Perret-Gallix, and Tord Riemann. "Summary of the ACAT Round Table Discussion: Open-source, knowledge sharing and scientific collaboration." Journal of Physics: Conference Series 523 (June 6, 2014): 012066. http://dx.doi.org/10.1088/1742-6596/523/1/012066.

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Burdiuh, O. "THE MODEL OF MOTIVATING THE HIGHER EDUCATION FACULTIES OF UKRAINE BY EMPLOYING IT IN KNOWLEDGE SHARING TO IMPROVE ACADEMIC PUBLICATIONS." Visnyk Taras Shevchenko National University of Kyiv. Military-Special Sciences, no. 1 (45) (2021): 5–9. http://dx.doi.org/10.17721/1728-2217.2021.45.5-9.

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Research and development are central to national and civilizational achievements. Research and development in any country is measured by the results of research, such as scientific publications. Scientific publications become the main criterion for evaluating teachers, as well as research and teaching staff of higher education institutions and research institutions. Knowledge is the most important resource in universities. Useful knowledge can improve the performance of employees in the organization. The exchange of knowledge or information exchange between employees is important for scientists and practitioners. Acquisition of knowledge, exchange of knowledge and use of knowledge are three types of knowledge management. Higher education in Ukraine seeks to strengthen research as a key component of the development of the nation and its universities. In recent years, higher education in Ukraine has initiated many projects to improve research on the productivity of research and teaching staff in Ukrainian universities. Ukrainian higher education seeks to automate all research activities to increase the effectiveness of research. This article discusses the impact of knowledge use. Joint use to improve the scientific publications of scientists and teachers of Ukrainian universities. In addition, this study identifies factors that lead to an increase in the level of knowledge exchange in Ukrainian universities. The author conducted an online interview with 350 representatives of the scientific and pedagogical staff of the Taras Shevchenko National University of Kyiv, studied scientific articles and websites of academic institutions to determine important indicators for measuring the productivity of scientific research. The results show that computer- mediated communication and the nature of knowledge are the main factors that positively affect the exchange of knowledge in Ukrainian universities. The author also concluded that scientific publications are a key indicator for measuring research performance. In addition, the exchange of academic knowledge and indirect communication significantly increases the productivity of research in Ukrainian universities.

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Peranzoni, Vaneza Cauduro, Alieze Nascimento da Silva, Carine Nascimento da Silva, and Luana Possamai Menezes. "Center Rondon project and university extension: sharing and knowledge production." International Journal of Innovation Education and Research 7, no. 4 (2019): 387–96. http://dx.doi.org/10.31686/ijier.vol7.iss4.1420.

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This work explores the experience of team participation the University of Cruz Alta Cruz Alta Rio Grande do Sul, Rondon Project. With goal to integrate the student to reality Brazil, and develop political, economic, and health care activities education for the poor, in January 2012, teachers and students visited the city of Aguiarnópolis, state of Tocantins in Brazil. The project is the intellectual effort of research and understanding of the process history, involving the saga of Brazilian Cândido Mariano Rondon and his legacy to the formation of anthropologists. This study proposes a reflection on Rondon Project while the university democratization of space public, considering it essential to approach institution with society. The Rondon Project is an extension activity that aims to consolidate the sense of social responsibility in university, knowledge on different Brazilian realities and production local collective projects. It is intended, finally, contribute through this study to highlight the importance of alliance between scientific knowledge and empirical in everyone's life citizens, and the contribution of the Rondon Project to provide this exchange of knowledge between students and underserved communities.

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Lamanauskas, Vincentas. "SCIENTIFIC ARTICLE PREPARATION: METHODOLOGY DESCRIPTION." Problems of Education in the 21st Century 78, no. 2 (2020): 136–46. http://dx.doi.org/10.33225/pec/20.78.136.

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Scientific (academic) writing is continuous activity of every scientist (researcher), and therefore needs to be regularly advanced. Thus, it should be wrong to assume that writing proficiency is achieved once and for all. The skills of academic writing are essential for the independent acquisition of scientific knowledge and for disseminating the acquired information, i.e. sharing knowledge with others. On these grounds, it is worth remembering that a fully completed research paper, the clear results of the conducted research and specific and valid conclusions act as prerequisites for writing a good scientific article etc. Another trivial but important point is that writing an article (or other research paper) is barely a study itself, but only the presentation, dissemination and publicity of the findings. Consequently, even properly carried out research (exploration, examination etc.) and the obtained significant results may fail to be appropriately presented, and the importance of the produced results may simply ‘disappear’ in a poor description.

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Santoro, Mattia, Paolo Mazzetti, and Stefano Nativi. "The VLab Framework: An Orchestrator Component to Support Data to Knowledge Transition." Remote Sensing 12, no. 11 (2020): 1795. http://dx.doi.org/10.3390/rs12111795.

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Over the last decades, to better proceed towards global and local policy goals, there was an increasing demand for the scientific community to support decision-makers with the best available knowledge. Scientific modeling is key to enable the transition from data to knowledge, often requiring to process big datasets through complex physical or empirical (learning-based AI) models. Although cloud technologies provide valuable solutions for addressing several of the Big Earth Data challenges, model sharing is still a complex task. The usual approach of sharing models as services requires maintaining a scalable infrastructure which is often a very high barrier for potential model providers. This paper describes the Virtual Earth Laboratory (VLab), a software framework orchestrating data and model access to implement scientific processes for knowledge generation. The VLab lowers the entry barriers for both developers and users. It adopts mature containerization technologies to access models as source code and to rebuild the required software environment to run them on any supported cloud. This makes VLab fitting in the multi-cloud landscape, which is going to characterize the Big Earth Data analytics domain in the next years. The VLab functionalities are accessible through APIs, enabling developers to create new applications tailored to end-users.

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Zielińska, Agnieszka. "SHARING LEADERSHIP TASKS IN DISTRIBUTED TEAMS." Zeszyty Naukowe Wyższej Szkoły Humanitas Zarządzanie 21, no. 3 (2020): 181–94. http://dx.doi.org/10.5604/01.3001.0014.4517.

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This article concerns work in dispersed teams, and particularly the sharing of leadership tasks through members of such teams. The research tool created on the scientific literature was presented (questionnaire). This tool was used in the pilot study, which covered 5 teams of various degrees of dispersion, formed by 47 people. The results of the study made it possible to conclude that knowledge sharing is the most shared leadership task. Moreover, a correlation between the degree of shared leadership tasks and the degree of team dispersion was discovered

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Amril, La Ode, Willis Firmansyah, and Ratna Wahyu Wulandari. "STRATEGI ACTIVE KNOWLEDGE SHARING SETTING PENDEKATAN SAINTIFIK UNTUK MENINGKATKAN SIKAP SISWA TERHADAP MATEMATIKA." JURNAL SOSIAL HUMANIORA 8, no. 2 (2017): 93. http://dx.doi.org/10.30997/jsh.v8i2.884.

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Penelitian ini menggunakan rancangan penelitian tindakan kelas yang terdiri atas dua siklus. Setiap siklus terdapat empat tahapan yang dilalui yaitu perencanaan, pelaksanakan, pengamatan dan refleksi. Subjek penelitian ini adalah siswa dan guru kelas VIII SMP Negeri 1 Ciawi Bogor. Teknik pengumpulan data menggunakan teknik tes dan non tes. Analisis data menggunakan analisis deskriptif kuantitatif dan analisis deskripstif kualitatif. Penerapan pembelajaran bercirikan active knowledge sharing dengan pendekatan saintifik meningkatkan sikap terhadap matematika siswa kelas VIII MTs SMP Negeri 1 Ciawi. Strategi active knowledge sharing memberikan kesempatan kepada siswa untuk saling berbagi pengetahuan secara aktif. Kompetisi antar peserta didik dapat dikurangi karena siswa diajarkan untuk saling membantu teman dalam hal kegiatan belajar. Siswa diarahkan untuk berpikir kritis dan kreatif dalam menyelesaikan permasalahan matematika yang diberikan. Selain pada tingkat sikap terhadap matematika, kemampuan kognitif siswa juga mengalami peningkatan, namun persentase kenaikan kemampuan sikap siswa terhadap matematika lebih besar daripada persentase kenaikan kognitif siswa. KATA KUNCI: active knowledge sharing, pendekatan saintifik, sikap terhadap matematika THE STRATEGY OF ACTIVE KNOWLEDGE SHARING BASED ON SCIENTIVIC APPROACH TO INCREASE STUDENTS' ATTITUDES TOWARD MATHEMATICS ABSTRACTThis study uses a classroom action research design consisting of two cycles. Each cycle there are four stages through which planning, execution, observation and reflection. The subjects of this study are students and teachers of class VIII SMP Negeri 1 Ciawi Bogor. Technique of collecting data using test and non test technique. Data analysis used quantitative descriptive analysis and qualitative descriptive analysis. Implementation of learning is characterized by active knowledge sharing with scientific approach to improve attitude toward mathematics students of class VIII MTs SMP Negeri 1 Ciawi. The active knowledge sharing strategy allows students to actively share their knowledge. Competition among students can be reduced because students are taught to help each other friends in terms of learning activities. Students are directed to think critically and creatively in solving the given mathematical problems. In addition to the level of attitudes toward mathematics, students 'cognitive abilities also increased, but the percentage increase in students' attitudes toward mathematics is greater than the percentage of student cognitive improvement.

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Caudill, Helene L., and Constance D. Porter. "An Historical Perspective of Reward Systems: Lessons Learned from the Scientific Management Era." International Journal of Human Resource Studies 4, no. 4 (2014): 127. http://dx.doi.org/10.5296/ijhrs.v4i4.6605.

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This paper reveals how similar the reward systems prevalent during the scientific management era are to the rewards systems in use today. Systems popular today, such as profit sharing, gain sharing, skill/knowledge-based pay, merit-based pay/pay for performance, and variable-based pay, were also advocated during the reign of scientific management. The ideas expressed by several key scientific management contributors, including Frederick W. Taylor, Henry L. Gantt, Harrington Emerson, and Frank B and Lillian M. Gilbreth, are detailed. These ideas are compared and contrasted with existing reward systems and their underlying premises. In addition, the lessons learned from the scientific management era as they relate to reward system philosophies of today are presented.

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Dubitzky, Werner. "Toward a System-Centric Global Knowledge Management Approach to Discovering (Organizing and Sharing) Scientific Knowledge from Large-Scale Data." OMICS: A Journal of Integrative Biology 15, no. 4 (2011): 243–46. http://dx.doi.org/10.1089/omi.2011.0016.

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Karami, Mahtab. "Semantic Web: A Context for Medical Knowledge Discovering and Sharing." Iranian Journal of Medical Informatics 7 (June 10, 2018): 2. http://dx.doi.org/10.24200/ijmi.v7i0.145.

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Background and Aim: This article will discuss Semantic Web standards and ontologies in two areas: (1) the research and (2) healthcare. Semantic Web standards are important in the medical sciences since much of the medical research that is available needs an avenue to be shared across disparate computer systems.Methods: This review article was performed based on a literature review and internet search through scientific databases such as PubMed, Scopus, Web of science and Google Scholar.Conclusion: Ontologies can provide a basis for the searching of context-based medical research information so that it can be integrated and used as a foundation for future research. The healthcare industry will be examined specifically in its use of electronic health records (EHR), which need Semantic Web standards to be communicated across different EHR systems. The increased use of EHRs across healthcare organizations will also require ontologies to support context-sensitive searching of information, as well as creating context-based rules for appointments, procedures, and tests so that the quality of healthcare is improved. Literature in these areas has been combined in this article to provide a general view of how Semantic Web standards and ontologies are used, and to give examples of applications in the areas of healthcare and the medical sciences.

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Zalewska-Kurek, Kasia. "Understanding researchers’ strategic behaviour in knowledge production: a case of social science and nanotechnology researchers." Journal of Knowledge Management 20, no. 5 (2016): 1148–67. http://dx.doi.org/10.1108/jkm-11-2015-0444.

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Purpose This paper seeks to understand the strategic behaviour of researchers when producing knowledge in two scientific fields – nanotechnology and social sciences. Design/methodology/approach The author conducted semi-structured interviews with 43 researchers to analyse the needs for strategic interdependence (resource-sharing) and for organisational autonomy (decision-making) in knowledge production. When aligned, these two concepts form three modes of behaviour: mode1, mode2 and mode3. Findings The empirical study results show that, besides well-studied differences in various publications, there are large behaviour differences between social science and nanotechnology researchers. While nanotechnology researchers’ behaviours are mostly in mode3 (sharing resources; highly autonomous), social science researchers’ behaviours tend to be in mode1 (highly autonomous; no need to share resources). Practical implications This study delivers an understanding of the differences in the strategic behaviours of researchers in different scientific fields. The author proposes managerial interventions for research managers – university and research group leaders. Originality/value While most studies that compare scientific fields look at knowledge production outcomes, the author analyses conditions that differentiate these outcomes. To this end, the author compares individual researchers’ behaviours in different fields by analysing the need for collaboration and the need for autonomy.

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Nelson, Andrew J. "How to Share “A Really Good Secret”: Managing Sharing/Secrecy Tensions Around Scientific Knowledge Disclosure." Organization Science 27, no. 2 (2016): 265–85. http://dx.doi.org/10.1287/orsc.2015.1040.

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Perillat, Lucie, and Brian S. Baigrie. "COVID ‐19 and the generation of novel scientific knowledge: Evidence‐based decisions and data sharing." Journal of Evaluation in Clinical Practice 27, no. 3 (2021): 708–15. http://dx.doi.org/10.1111/jep.13548.

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Kuhlen, Rainer. "Napsterisierung und Venterisierung." PROKLA. Zeitschrift für kritische Sozialwissenschaft 32, no. 126 (2002): 57–88. http://dx.doi.org/10.32387/prokla.v32i126.713.

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We use the alternative concepts of napsterization (information sharing) and venterization (commerzialization and control) to characterize the main trends within information markets for organisation, production and usage of knowledge. In particular, “napsterization” will be described with respect to Napster itself, to the DVD conflict, to Digital Rights Management for digital products such as E-books, and to problems and potentials of information sharing in scientific environments. Assuming that knowledge cannot and should not be fully controlled in electronic spaces we suggest that the principles of information sharing, distributed information work, pricing for information, and value-added services should be adopted by the information economy rather than continuing a costly and unwinnable information war" between napsterizers and venterizers.

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Martin, Shawn. "Historicizing the Knowledge Commons: Open Access, Technical Knowledge, and the Industrial Application of Science." KULA: Knowledge Creation, Dissemination, and Preservation Studies 3 (February 28, 2019): 23. http://dx.doi.org/10.5334/kula.16.

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How does open access relate to scholarly communication? Though there are many modern definitions stressing the accessibility of knowledge to everyone, sharing scientific knowledge has a much longer history. What might the concept of ‘open access’ have meant to scientists and knowledge practitioners over the past several hundred years? This paper poses some relevant questions and calls for better historicization of the idea of the knowledge commons at different periods of time, particularly the era of the ‘Republic of Letters’ and the ‘Modern System of Science.’ The concept of open access as it relates to academic publishing has been very nuanced, and hopefully, understanding the history of ‘open access’ in relation to scholarly communication can help us to have more informed debates about where open access needs to go in the future.

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Sharp, Lucy. "Together we thrive." Impact 2020, no. 1 (2020): 44–45. http://dx.doi.org/10.21820/23987073.2020.1.44.

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We explore the important work of the EU-Japan Centre for Industrial Cooperation, which seeks to facilitate and enrich partnerships between the EU and Japan, accelerating industry progress and scientific research through knowledge sharing and collaboration

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