Producción Científica

 

 

In the context of the current supremacy of English as the language of science and of the linguistic minori-tization of Spanish, editorial documents and articles published between 2016 and 2020 in twenty indexed Argentine journals in the area of agricultural and veterinary sciences are studied. On the one hand, it can be seen that the process of minoritization is not produced systematically or unequivocally, but in a progressive and uneven way. It is revealed how some criteria of evaluation of the scientific system can influence the dissemination of local and regional journals in Spanish and how the topic “publish or perish” appeals to the authors but also to those magazines. On the other hand, it is detected that, with the aim of regulating writing, the section “guidelines for authors” articulates prototypical features of scientific wri-ting (accuracy, conciseness, clarity) with bibliometric criteria and requirements of quick access in digital searchers. This paper is framed within a glottopolitical approach.

 

 

We hereby present SIGI, an integral automated, web-based system for Research Data Management and generation of metric indicators. SIGI is an information platform and database system created to manage all data related to the academic activity of a teaching-research institution, and to generate annual reports and metric indicators at the individual and institutional levels. It integrates data related to traditional academic bibliographic products with other aspects of the academic activity (e.g., those related to teaching or outreach). From this rich database, SIGI automatically generates metric indicators that are used in the creation of individual researcher profiles and in institutional evaluations and reports. We also show two examples of scientometrics analyses that can be carried out using the system: the internal collaboration network and the international collaboration map of a particular research institute. We conclude by discussing the example institute’s overall experience with the system and how it could be adopted by other institutions, both nationally and internationally.

 

 

Scientific production in Ecuador has followed a pattern similar to the evolution of other Latin American countries, with little production of indexed documents but, in recent years, this has increased due to current regulations in the country. INIAP has expressed its research results in technical publications, leaflets, guides and manuals, among others. Since 2014, there has been a sustained increase in its scientific production. The objective of this study is to carry out an analysis of the scientific production of INIAP during the 2014-2019 period. Results showed an increase of 3.1 times during the analyzed period, surpassing the Latin American growth in the same time. It was determined that more than 54% of INIAP’s publications include international collaboration and 62% of publications are indexed in journals with SJR index. These results indicate that INIAP has increased its scientific production and quality in agricultural research.

 

 

The nanocellulose is a material that has gained much attention in the recent years. So, the relevance of Brazil in this field was evaluated concerning the scientific publications in Web of Science. Next, the Brazilian groups were mapped using a bibliometric procedure on these data. Then, more factors were analyzed from them too. They were the sources to extract the nanocellulose in Brazil, the methods to do it, the characterizations to determine its dimensions and the funding agencies of these researches. The results identified 69 Brazilian groups. Besides, the bacterial cellulose was the most common source. While the acid hydrolysis was the most used method. By its turn, the size characterization was mostly by scanning electron microscopy. At last, the most important agencies were the CNPq, the CAPES and the FAPESP. Giving these points, it was possible to suggest the opportunities to develop the nanocellulose research in Brazil.

 

 

Since November 2019, the COVID-19 Pandemic produced by Severe Acute Respiratory Syndrome Severe Coronavirus 2 (hereafter COVID-19) has caused approximately seven million deaths globally. Several studies have been conducted using technological tools to prevent infection, to prevent spread, to detect, to vaccinate, and to treat patients with COVID-19. This work focuses on identifying and analyzing machine learning (ML) algorithms used for detection (prediction and diagnosis), monitoring (treatment, hospitalization), and control (vaccination, medical prescription) of COVID-19 and its variants. This study is based on PRISMA methodology and combined bibliometric analysis through VOSviewer with a sample of 925 articles between 2019 and 2022 derived in the prioritization of 32 papers for analysis. Finally, this paper discusses the study’s findings, which are directions for applying ML to address COVID-19 and its variants.

 

 

Purpose – This article results from a survey on national and international research articles published from 1947 to 2018 that aimed to produce a theoretical framework and description of education governance. Design/methodology/approach – The study was based on bibliographic research techniques. Its bibliometric analysis (Pritchett, 2001) focused on three structural indicators: 1) keywords, 2) most relevant journals and 3) most productive researchers. A survey was made targeting national and international research articles on education governance published from 1947 to 2018 as available on Scopus. Findings-The survey pointed out the fundamentals of the education governance dimensions as posited in Hufty’s (2011) Governance Analytical Framework, namely: problems, social norms, actors, nodal points and processes. Originality/value – The study provides the theoretical framework for establishing operational definitions of aforementioned dimensions that can be used in an education governance assessment instrument.

 

 

The present work aimed to carry out a survey of studies on Burnout Syndrome and self-efficacy published between 2008 and 2022 with Physical Education teachers. It is a bibliometric research, based on a quantitative-qualitative approach. The searches were carried out in the CAPES, SciELO, LILACS and ERIC databases. Fifty-six publications were analyzed. It was found that the majority (69.6%, n = 39) were published in the last five years. Brazil, China and Turkey are the countries with the highest number of publications on the subject and only three articles addressed the subject specifically with Physical Education teachers. As a result, it is concluded that there is a need to expand studies on Burnout and self -efficacy in Brazil and in the world, especially with Physical Education teachers, since studies are scarce, considering the inclusion criteria applied in this study.

 

 

Introduction/Objective: The objective of this article was to deepen the results obtained in the systematic review of references, in high impact publications, placed in journals indexed in high level databases, such as: Scopus and Web of Science (WoS) compared to publications of the same. impact, but in the global context. Method, Results: The research method (descriptive-documental) was used, taking as a reference articles related to the theme. Therefore, the results showed that in Peru and Ecuador, countries that are going up in these databases, we have only 14 Peruvian journals indexed in WoS and 9 in Scopus, for Ecuador their journals indexed in WoS reach 20, while for Scopus, is reduced to just 2 magazines. Conclusion: According to these data, the measures taken by the two countries to increase their scientific proliferation and the extent to which the State contributes to this academic-professional.

 

 

This study mapped and explored scientific production related to basketball in Brazilian theses and dissertations in the 21st century. The works were selected from the Digital Library of Theses and Dissertations, the Coordination for Improvement of Higher Education Personnel’s Bank of Theses and Dissertations, and Google Scholar, through the equation Basquete* OR Basket*. The search resulted in 79 articles, including 18 theses and 61 dissertations. The State University of Campinas and Brazil’s South and Southeast stood out as the HEI and the regions with the highest number of studies respectively. In addition, the study found that aspects related to the physiological and pedagogical axes received more attention in studies. and key words basquetebol (basketball) and capacidade/habilidade (ability/skill) were prominent. The information showed how incipient works on basketball sponsored by funding agencies are in Brazil.

 

 

Performance measurement indicators are widely used by organizations in order to assess, measure and classify organizational performance. As part of performance measurement systems, indicators are often shared or compared to different internal sectors of the organization, or even with other companies. However, some indicators are associated with vagueness and imprecision. In these cases, literature related to time representation can clarify the need for the semantic representation of indicators. This work seeks to analyse the studies available, selected after bibliometric review, on the semantic representation of time through ontologies. The purpose of this is to identify a knowledge model which best served the purpose of representing time in the performance indicators’ context. After applying the METHONTOLOGY methodology, it was concluded that the most suitable option is the SWRL Temporal Ontology, due to its ability to represent fine levels of granularity for points of time.