Information technology for automation of sociological research: methods, technologies and advantages

Annotation: The article is devoted to the analysis and development of an information-analytical system (IAS) for sociological research. It reviews existing software solutions for data collection, pro-cessing, and analysis, outlining their advantages and limitations. The article proposes integrating various functions into a single system to provide a comprehensive approach to research, in-cluding proactive forecasting and analysis. The developed IAS offers extensive capabilities for automating key stages of socio-logical research, improving data quality, and enhancing analyti-cal accuracy. The integration of ontologies into the IAS struc-ture has standardized terms and concepts, established semantic relationships between them, which reduced the likelihood of errors and shortened the preparation time for retrospective anal-ysis (by 20%), while improving the quality of analytical conclu-sions through more in-depth and comprehensive data pro-cessing.

Keywords: decision support system (dss), data processing system (dps), forecasting, ontologies, sociological re-search, system architecture, information technology