Autor: |
О. О., Шершун, Ж. А., Титуренко, І. І., Зінченко, О. В., Ольшевська |
Předmět: |
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Zdroj: |
Automation of Technological & Business Processes / Avtomatizaciâ Tehnologiceskih i Biznes-Processov; 2020, Vol. 12 Issue 3, p40-46, 7p |
Abstrakt: |
This work is devoted to a software product to automate the identification of growth points and potential of new areas of science and scientific and technological progress. The object of research is the field of data processing automation. The task of design is to develop a web resource that organizes the interaction of software procedures with the database. In the study of the main problems of the subject area, analysis of analogues and development tools, an object-relational database management system PostgreSQL was chosen. The software was developed using the Django framework, a free framework for Python web applications that uses the MVC design template. The interface was built in HTML and CSS markup languages. The Jinja template was also used to merge html files. The connected ChartJS library was responsible for plotting the graphs. The scientific novelty is to combine all data about scientists in such scientometric databases as: Web of Science (WoS), Scopus and Google Scholar in a single resource, where data analysis and reporting of scientists takes place. As a result of the work, a software product was created that meets all the requirements for the systematization of scientometric data of scientists, as well as the processing of ONAHT statistics. This software product is not demanding on hardware, which allows the application to be used by a wide range of people. And the cost of using this product is equal to the cost of access to the Internet. [ABSTRACT FROM AUTHOR] |
Databáze: |
Complementary Index |
Externí odkaz: |
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