Objective. BrCris/IBICT is presented as a scientific and technological recommender system based on a collaborative information filter, enabling users to receive recommendations fitting their profile. The BrCris/IBICT is inspired by PTCRIS Project and LA Referencia and is designed to store, manage and exchange contextual metadata for research activity financed by Government Agencies. Therefore, it intends to present the BrCris/IBICT, which has as its central objective the construction and monitoring, through the interoperability of Brazilian science and technology data, in a single system, with capillary articles in specificities. Design/Methodology/Approach. The proposal and data modeling started in 2015 and matured as a handy tool in 2021. With semantic questions asked and all data finally certified, your recommendation systems proved to be an evolutionary process demonstrating the acquired know-how. The current research had an explanatory, descriptive approach for exploring, analyzing, and treating the data obtained in the tool in an explanatory way. Results/Discussion. As the main results, we can highlight that though the spectrum of recommendations is infinite, BrCris/IBICT presents four models to recommend relevant contents: scientific production, theses and dissertations; patents and innovation; and scientific editors. The future will prove how successful the interactions are, but the certifications will be continuous. Conclusions. BrCris, even though it is in the conclusion phase, already has an extensive consolidated dataset, representing consistent graphics on the dashboard, which may help the scientific community when it becomes publicly available.

This work presents a use case of building a data visualization interface for open-access repositories. The case in the analysis is the Brazilian Digital Library of Theses and Dissertations (BDTD). From the almost 670,000 records of BDTD, one applies statistical methods using the language R. One of the visualization packages of R is called Shiny, which makes it easy to build interactive web applications straight from R. Through the app, a user can visualize data in a fast and customizable way. It could help to keep track of metadata and usage statistics over the repositories and also can be applied to discovering scientific information, such as bibliographic data and lists of specialists in a certain research domain. These data visualization tools can stimulate others to create open repositories and join either national, regional or international repositories networks.

Several initiatives to create systems that manage the academic production of an institution, country, or area of knowledge have received attention from different fields. Such systems are known by the acronym CRIS (Current Research Information Systems) and aim to aggregate information from other databases to provide reports and consolidated data for researchers to analyze. Therefore, this work presents the development process of the BrCris Platform to provide technological tools to give the Brazilian academic community consolidated data from the national scientific production. This initiative presents itself as an essential data aggregation mechanism, providing views and analysis of critical scientific datasets, especially on Brazilian scientific output. Therefore, making the BrCris Platform available to the scientific community will give several bibliometric studies that a priori would be highly complex in their conception.

No abstract

No abstract