Abstract
The object of the study is the automation of accounting and reporting of scientific activities in educational organizations. The problem addressed is the inefficiency and high labor intensity of existing approaches, as well as the limited adaptability of available solutions to institutional needs. With the digitalization of educational organizations, there is a growing demand for effective information systems that automate accounting processes and generate reports on academic and pedagogical activities. Existing solutions, mainly international and local Enterprise Resource Planning (ERP) systems, offer extensive functionality but are complex, resource-intensive, and poorly adapted to educational institutions. A modular information system was designed and implemented, managing data on staff, publications, and awards, with a unified data model and automated report generation. The essence of the results lies in the development and validation of the SciTrack (Republic of Kazakhstan) system, which integrates all scientific activity data into a single structured environment and ensures automated processing and reporting. Its modular design and centralized database eliminate data duplication, reduce manual work, and accelerate report preparation. SciTrack is easy to customize, simpler to implement than traditional ERP systems, and automatically calculates summary indicators, such as total publications and awards. Standardized data structures, centralized storage, and automated algorithms implemented in Python with a Tkinter interface explain these results. The system improves reporting efficiency, reduces labor costs, and enhances analytical quality, demonstrating practical value for educational organizations. It can be deployed in universities with basic information technologies infrastructure requiring regular monitoring of research performance