Artículo

Extraction and validation of scientific data for the identification of publications in open access journals

Resumen

This work aims to identify articles published in open access journals registered in the Lattes Platform curricula. Currently, the curricular data from the Lattes Platform has been the source of several studies that adopt bibliometric metrics to understand scientific evolution in Brazil. However, when registering a publication in a curriculum, only basic information from the magazine is informed. Therefore, to quantify the publications made in open access journals, a strategy is proposed that uses data from the Directory of Open Access Journals, validating the publications and, thus, obtaining a process that allows identifying which publications were made in this communication format. Therefore, using the proposed methodology, which has a low computational cost, it was possible to quantify in an unprecedented way the publications of Brazilians in open access journals registered in the curricula of the Lattes Platform. In addition, having the authors’ data of the publications, it was possible to understand how these authors are geographically distributed in the country, what their areas of operation are and how they have published the results of their research in open access. It is noteworthy that they are generally published in Portuguese and English. Over the last few years, the representativeness of publications in open access journals has increased.
Khamisy-Farah, Rola (55808741800); Gilbey, Peter (55980203000); Furstenau, Leonardo B. (57211463471); Sott, Michele Kremer (57218374403); Farah, Raymond (14013894800); Viviani, Maurizio (57231700200); Bisogni, Maurizio (57232852500); Kong, Jude Dzevela (56305065700); Ciliberti, Rosagemma (6507895664); Bragazzi, Nicola Luigi (57212030091)
Big data for biomedical education with a focus on the covid-19 era: An integrative review of the literature
2021
10.3390/ijerph18178989
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85113546517&doi=10.3390%2fijerph18178989&partnerID=40&md5=d9dcc718aa0b917324d63a4b1f8d88c9
Clalit Health Service, Akko, Azrieli Faculty of Medicine, Bar-Ilan University, Safed, 13100, Israel; Azrieli Faculty of medicine, Bar Ilan University, Safed, 13100, Israel; Department of Industrial Engineering, Federal University of Rio Grande do Sul, Porto Alegre, 90035-190, Brazil; Business School, Unisinos University, Porto Alegre, 91330-002, Brazil; Department of Internal Medicine B, Ziv Medical Center, Azrieli Faculty of Medicine, Bar-Ilan University, Safed, 13100, Israel; TransHumanGene, MedicaSwiss, Cham, Zug, 6330, Switzerland; Laboratory for Industrial and Applied Mathematics (LIAM), Department of Mathematics and Statistics, York University, Toronto, M3J 1P3, ON, Canada; Section of History of Medicine and Bioethics, Department of Health Sciences (DISSAL), University of Genoa, Genoa, 16132, Italy
All Open Access; Gold Open Access; Green Open Access
Scopus
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