Implementation of analytical tools in the scientometric platform for the formation of consolidated information

Abstract

The article analyzes the main problems of the scientometric area by the criteria for HEIs scientists carried out using the data mining methods. The main purpose of any research is to share achievements and accomplishments with society. However, each time a scientist publishes a he/she will be curious about how it’s being received. Introduction of a category or criteria is a basic component of evaluating any activity, in particular scientific, and allows the unbiased consideration of the activities for building a balanced segmental circle. This approach was chosen to build the Odesa National University of Technology (ONUT) sciencetometric system, which allows researchers to have a quick and easy tool for identifying how much and what type of attention a research output has received. The software was developed in the PyCharm and DataGrip development environment. As a result of the research, a web application was created that fully meets the requirements of Odesa National University of Technology Scientific and Technical Library. The analysis of the subject area is carried out. The database was designed and developed using PostgreSQL DBMS version 10. Software solutions for the tasks were developed in the Atom environment using the Python programming language and the Django framework. The results are methods and functions that organize the operation of the system and the interaction of the application server with the database server.

Keywords

• computing information technology
• information management system
• scientific methods
• web
• database