In today’s landscape of research management, the integration of Information Technology (IT) methods and data science has emerged as a powerful paradigm for enhancing decision-making processes. This paper examines the central role of IT-supported research management, such as Research Information Systems (RIS), in leveraging data science methods for informed decision-making. It addresses the importance of integrating IT infrastructure with advanced analytical techniques to enable data-driven insights and optimize research management strategies. Through a comprehensive review of relevant literature and case studies, this paper elucidates how RIS enables organizations to harness the full potential of data science methods for improved decision support across various facets of research activities. Additionally, it discusses the challenges and opportunities associated with this integration and provides insights into future directions for advancing IT-supported research management practices.