The present paper addresses the fundamental importance of decisions for economic and social processes, emphasizing how their quality is significantly influenced by the available research information and applied information technology. In this context, we have developed a comprehensive decision model for users of research information systems (RIS), utilizing advanced methods of data science. The integration of big data analytics, data fusion, data mesh, data fabric, artificial intelligence (AI), knowledge graphs (KGs), predictive analytics (PA), and elastic stack (ELK) technologies aims to support structured, semi-structured, and unstructured decisions while considering the complex dependencies between different decision processes. Empirical investigations demonstrate that this decision model enables significant improvements in decision-making quality through the application of modern data science technologies. Furthermore, practical recommendations for applying the developed model and future research directions are derived.