This poster is part of the OR2020 Virtual Poster Session which takes place in the week of June 1-5. We encourage you to ask questions and engage in discussion on this poster by using the comments feature. Authors will respond to comments during this week.
Author:
Lucca de Farias Ramalho, Washington Luís Carvalho-Segundo
Poster description:
This poster presents a method to extract trending topics from searches performed on Institutional Repositories, Digital Libraries and Scientific Journals. It used the data collected from Google Analytics running over two Brazilian open science research portals: oasisbr and BDTD. The data were analyzed using the R language operating over the set of most viewed records in the months in 2018 and 2019, resulting in interesting visualizations about tendencies and hot topics on oasisbr and BDTD, in the searches performed in these two years.
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About the Presenter:
Washington Luís Carvalho-Segundo is the Coordinator of the Laboratory of Methodologies of Treatment and Dissemination of Information (COLAB), at IBICT.