BRAPCI Explorer: A new web environment for bibliometric analyzes based on the BRAPCI

Abstract

Introduction: In the field of Information Science, the Referential Database of the Database of Journal Articles in Information Science (BRAPCI) is a national reference. However, compared to other databases, BRAPCI provides limited bibliometric metrics. Objective: This search proposes a new web environment, named BRAPCI Explorer, aimed at bibliometric analyses. This would be achieved by requesting data through the BRAPCI database API, expanding and structuring the data visualization. Methodology: An R programming language code was developed to extract data from BRAPCI via API, organizing and structuring the data into an interactive website. This code generates a co-Authorship network, tables of author and publication source frequency, a production graph per year, and calculates bibliometric indicators, including the quantity of distinct authors, average documents per author, co-Authorship index, totally different sources, average documents per source, and per year. Results: When testing the new environment, a search with the term scientific production yielded 3099 distinct documents produced by 3494 distinct authors in 51 distinct publication sources. BRAPCI Explorer was capable of generating the co-Authorship network as well as preparing all tables and frequency graphs, in addition to calculating the indicators. Conclusion: It is concluded that BRAPCI Explorer contributes to a better visualization of the data provided by BRAPCI because it presents enhanced visualizations in the form of networks, graphs, and tables, along with bibliometric indicators, all in a single environment.