The Development of Information Models and Methods of University Scientific Knowledge Management

Author(s):  
Gulnaz Zhomartkyzy ◽  
Tatyana Balova
2022 ◽  
pp. 14-35
Author(s):  
Jorge Biolchini ◽  
Eliane Azevedo Gomes ◽  
Elaine Cristina Ferreira Dias ◽  
Tatiana Figueiredo

The COVID-19 pandemic brought a challenge to the health area and generated an enormous amount of information, some accurate and some not, which made it difficult to locate reliable sources of information. Scientific knowledge has become the best way to mitigate this infodemiological process. Observatories are instruments to support decision making, seeking to integrate different sources of information and communicate the results using research methodologies such as the COVID-19 Scientific Evidence Observatory. Created by members of the research group Information in Science, Technology, and Innovation in Health, of the IBICT, it aims to meet the informational demands of the most varied audiences. Its development methodology involves a knowledge management team that uses the methodological rigor of the systematic literature review to seek, evaluate, synthesize, and enable access to reliable and qualified sources of information. It provides access to different sources of national and international information from the Kaleidoscope of Science.


Author(s):  
Luiza Beth Nunes Alonso ◽  
Jean Sallantin ◽  
Edilson Ferneda ◽  
Dominique Luzeaux

This article focuses on the efficiency of scientific knowledge involved in the context of managing a particular socio-environmental as that composed by Amazon. In a first part, we introduce the actual tools used to create and disseminate knowledge among scientists and to stakeholders. In the second part, we give a structural framework, concerning the co-construction of an interdisciplinary scientific knowledge on a specific geographical region. This structural framework, which is as mathematical object "free of context", provides a contextual efficiency of scientific work when it combines multi-disciplinarity, interdisciplinarity and transdisciplinarity.


2021 ◽  
Vol 9 (2B) ◽  
Author(s):  
FELIPE DO CARMO AMORIM ◽  
PEDRO PACHECO DE QUEIROZ FILHO ◽  
Fernando Barcellos Razuck

With technological advances in several research areas of science, it is becoming increasingly common to use computer programs to solve problems. Some of these programs are based on statistical analysis and simulation of reality, such as the Monte Carlo Method (MC). The MC is a statistical tool widely used in different areas of knowledge, as a resource for simulating events that involve from financial assessments to the interaction of radiation with matter. Thereby, surveys with radiation sources, for example, are constantly evolving to study the question of radiation protection. In this sense, this paper has as main objective to verify the relevance of the MC for the area of radiation protection, analyzing the studies that apply the method in the Postgraduate Program (PPG) in Radiation Protection and Dosimetry of Institute of Radiation Protection and Dosimetry (IRD). This is because it is understood thatthrough the application of Scientific Knowledge Management (SKM) the construction of knowledge happens through an exchange of scientific information, that is, exchange of relevant contents that help in the preservation of knowledge.In this sense, a bibliometric analysis of the dissertations and theses deposited in Brazilian bank was made using the search term "Monte Carlo" and its respective programs (PENELOPE, GEANT4, EGSnrc, MCNP and Visual Monte Carlo), to be found in the title, abstract or keywords. With the identification of works carried out in all areas of concentration of the PPG, it is understood that the MC is extremely relevant for studies in the area of radiation protection.


2022 ◽  
pp. 219-234
Author(s):  
Carla Silveira ◽  
Marcos Emiliano Lima Alves Hir ◽  
Henrique Koch Chaves

In the information age, it is urgent to work in a collaborative network, as well as the identification of researchers in specific areas in the globalized world. In this time, half of the world's population does not have access to essential health services, and more than one billion are threatened by neglected diseases. Information management helps in the identifying, extracting, and treating. In Brazil, the Lattes platform is the main curriculum repository for scientists and professionals in the different areas of scientific knowledge. After processing, 105 specialists were identified. Scientific articles published on Dengue, Zika virus, and Chikungunya are 11,743. The computational tool ScriptLattes proved to be efficient to extract, identify, and recover data from the curricula present in the Lattes database, contributing to the management of scientific knowledge in public health. Thus, Dengue, Zika, and Chikungunya infection data extracted from the platform generate information to assist in the knowledge management and decision makers for public health.


2019 ◽  
Vol 297 ◽  
pp. 06003
Author(s):  
Evgeny Zhernov ◽  
Evgenia Nekhoda ◽  
Roberto Bruni

The purpose of the study is to propose a procedure for choosing a business model of a machine-building enterprise, depending on the degree of utilization of scientific knowledge of the company’s employees in the production. The subject of the article is the search for a new business model based on education and science in order to develop Russian mechanical engineering in the period of the emergence of the knowledge economy. At the same time, mechanical engineering is positioned as a basic branch of the knowledge economy. To select a business model, depending on the degree of use of scientific knowledge at a machine-building enterprise, a system of factors and their indicators is substantiated. The identified factors are related to possible knowledge-based business models. When choosing a business model in mechanical engineering, the most adequate to the development of the knowledge economy is the option with a high degree of utilization of scientific knowledge of workers. Therefore, the management of the system of selected factors should be aimed at the predominant use of indicators that provide this option in the production. Knowledge management is selected as the mechanism for implementing the required business model. Prospects for further research are in the organic combination of business modeling with knowledge management technologies created and applied in the dominance of the humanistic paradigm.


2003 ◽  
Vol 52 (1) ◽  
pp. 81-93 ◽  
Author(s):  
Jonice Oliveira ◽  
Jano Moreira de Souza ◽  
Julia Celia Mercedes Strauch ◽  
Carlete Marques

Author(s):  
Sophia Efstathiou ◽  
Rune Nydal ◽  
Astrid Laegreid ◽  
Martin Kuiper

We have two theses about scientific knowledge in the age of computation. Our general claim is that scientific Knowledge Management practices emerge as second-order practices whose aim is to systematically collect, take care of and mobilise first-hand disciplinary knowledge and data. Our specific thesis is that knowledge management practices are transforming biological research in at least three ways. We argue that scientific Knowledge Management a. operates with founded concepts of biological knowledge as explicated and computable, b. enables new outputs and ways of knowing within biology, and c. risks enforcing objectivist epistemologies of knowledge as some one objective thing.


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