Prototipo de sistema informático para el descubrimiento de patrones de publicación y citación en la producción científica de la Universidad de Cuenca a través de indicadores bibliométricos y técnicas de minería de datos

Abstract

Collections management in university libraries is a fundamental activity, since it is in charge of providing a set of bibliographic sources that satisfy the information needs. However, in some cases access to certain sources may have a high economic value. Based on this premise, there is a need for strategies/methods to help make decisions regarding collection management. At the University of Cuenca, this process is managed based on certain guidelines such as databases with greater global significance or usage statistics generated by the providers, which partially reflect the scientific and academic activity, as well as the information needs. For this reason, the purpose of this degree work is to implement a web system that allows the generation of a knowledge base based on the discovery of publication and citation patterns that support this type of decisions. For this process, scientific articles of researchers with affiliation to the University of Cuenca indexed in Scopus and Latindex in the period (2016 - 2020) are taken into consideration, a methodology for data analysis and collection was applied, as well as certain concepts of bibliometric analysis such as Bradford's law and data mining techniques for data processing. In addition, the traditional development methodology was used as a reference for the development of the system. Among the main results, it was possible to obtain a list of bibliographic sources (scientific journals) where most is published, cited, consulted and have the highest impact factor. These sources are verified if it is available in the bibliographic databases contracted by the University of Cuenca, information of great relevance that supports the decision making process.