Target

Our department providing scientific works within the national development program "Science-2020" developed by the Ministry of Higher and Specialized Secondary Education jointly with Elsevier (the Netherlands). The main aim of this program is to improve the quality of research activities of the teaching staff of our department, as well as further expansion of the possibilities of registration in the databases of world educational resources, electronic catalogs of modern scientific literature. Within the framework of the national development program, it is planned to assist in the preparation of articles by young scientists and doctoral students, as well as support in the publication of their scientific papers in high-ranking journals.

Registration

In order to implement the Resolution of the President of the Republic of Uzbekistan of June 5, 2018, PD-3775 "On additional measures to improve the quality of education in higher education institutions and ensure their active participation in large-scale reforms of the country", department staff participates in the seminars and trainings were held by the Information and Resource Center and the Department on the preparation of scientific and scientific-pedagogical personnel for registration in the international scientific databases of Scopus and Science Direct for professors, teachers, applicants for basic doctoral studies (PhD) and doctoral studies (DSc), and also independent candidates. All professors and teachers, as well as doctoral students were registered.

Downloaded information on the specialty

The entire staff of the department, applicants for basic doctoral and doctoral studies, as well as independent applicants were registered in the international scientific databases of Scopus and Science Direct and downloaded literature information, articles and information on our specialty. Based on the data received, a database of the information and resource center is being formed in the department. Currently, the more than 300 resources were downloaded. The downloaded data are used to cover the literary part of master's theses, for writing new publications.