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General Information
    • ISSN: 2010-3689 (Online)
    • Abbreviated Title: Int. J. Inf. Educ. Technol.
    • Frequency: Monthly
    • DOI: 10.18178/IJIET
    • Editor-in-Chief: Prof. Dr. Steve Thatcher
    • Executive Editor: Ms. Nancy Y. Liu
    • Abstracting/ Indexing: Scopus (Since 2019), EI(INSPEC, IET), EBSCO, Electronic Journals Library, Google Scholar, Crossref, etc.
    • E-mail: ijiet@ejournal.net
Editor-in-chief
Prof. Dr. Steve Thatcher
CQUniversity, Australia
It is my honor to be the editor-in-chief of IJIET. The journal publishes good-quality papers which focous on the advanced researches in the field of information and education technology. Hopefully, IJIET will become a recognized journal among the scholars in the related fields.

IJIET 2019 Vol.9(8): 535-538 ISSN: 2010-3689
doi: 10.18178/ijiet.2019.9.8.1261

A System for Discovery of Knowledge in Data Repository Education

Emerson de Sousa Costa, Thiago Magela Rodrigues Dias, and Patrícia Mascarenhas Dias
Abstract—Studies on scientific production date have received attention from Researchers in various fields to gain insight into the evolution of research in general. Such studies enable the analysis of scientific production for various purposes and one of the challenges in this type of analysis lies in the diversity of repositories containing data in different formats and structures. Currently, Bibliometric and scientometric Analyzes are the Characterized the main scientific analysis techniques on the production of a set of Researchers. These Analyzes aim to carry out the measurement of scientific communication, including the study of sciences to identify its structure, evolution and connections. The proposal of this project is to Develop an information system to perform scientificometric Analyzes of sets of Individuals, having as a source of data repositories of scientific publications. As a case study will be Analyzed the Brazilian Researchers who have acted in the Interdisciplinary area in Brazil. These Analyzes intend to present an overview of the area under study in Brazil, having the main source of data for the Analyzes, date of scientific publications of this set, extracted from its curricula of the Lattes Platform. Therefore, it will be possible to identify the profile of These Researchers, where They are acting, how the collaboration between Them Occurs, and Also, the qualitative analysis of Their research, Thus enabling the accomplishment of Analyzes comparative with the different areas of knowledge. After validation with the case study carried out Several other sets of Individuals Can Be Analyzed.

Index Terms—Bibliometric, scientific collaboration, lattes platform, scientific collaboration network.

The authors are with Centro Federal de EducaçãoTecnológica de Minas Gerais – CEFET-MG, Brazil (e-mail: emerson@cefetmg.br, thiagomagela@cefetmg.br, patriciamdias@gmail.com).

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Cite: Emerson de Sousa Costa, Thiago Magela Rodrigues Dias, and Patrícia Mascarenhas Dias, "A System for Discovery of Knowledge in Data Repository Education," International Journal of Information and Education Technology vol. 9, no. 8, pp. 535-538, 2019.

Copyright © 2019 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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