Аннотация
Access to reliable and comprehensive scientific literature is crucial for researchers and scientists to develop new ideas, explore innovative solutions to existing problems, and support research and development initiatives. However, a lack of a comprehensive bibliographic and abstract database of peer-reviewed scientific literature in Kazakhstan makes it challenging for researchers and scholars to access and analyze research in the country. To address this issue, this article proposes the creation of a comprehensive bibliographic and abstract database of scientific literature in Kazakhstan, utilizing Python parsing to collect and organize data in an SQL database. The database will provide an efficient and effective way for researchers, academics, and policy makers to access reliable and comprehensive information about scientific research in the country. The article discusses the methodology used to collect and organize data and the tools that can be used to analyze and present the data. This database will be a valuable resource for researchers, academics, and policy makers working on R&D initiatives in Kazakhstan, enabling them to easily access articles by author, journal, or keywords. In addition, the database can be supplemented with various tools and programs to facilitate data analysis and presentation. Therefore, it is imperative to establish a comprehensive bibliographic and abstract database of scientific literature in Kazakhstan to support research and development initiatives in the country.