Establishing a framework to assess the contribution of regional research topics to sustainable development goals (SDGs) Arroyo Machado, Wenceslao González-Valverde, Antonio Tomás-López, Miriam Torres Salinas, Daniel Scientometrics Topic modelling Sustainable Development Goals This study proposes a novel scientometric framework to assess the regional research contributions towards Sustainable Development Goals (SDGs), using the Region of Murcia, Spain, as a case study. By leveraging bibliometric and social network analysis, the framework aims to enrich university and regional policy-making with data-driven insights. The methodology identifies and maps micro-research topics to SDGs, showcasing how regional scientific output aligns with global sustainability objectives. The findings reveal Murcia’s unique research emphases and contributions, particularly in Biomedical and Health Sciences and Life and Earth Sciences, differing significantly from broader European trends. This approach not only highlights the region’s research strengths and areas of specialization but also underscores the potential of targeted scientometric analysis in guiding science, technology, and innovation policies towards achieving SDGs. 2025-10-09T12:09:34Z 2025-10-09T12:09:34Z 2025-09-22 journal article Wenceslao Arroyo-Machado, Antonio González Valverde, Miriam Tomás-López, Daniel Torres-Salinas, Establishing a framework to assess the contribution of regional research topics to sustainable development goals (SDGs), Research Evaluation, Volume 34, 2025, rvaf040, https://doi.org/10.1093/reseval/rvaf040 https://hdl.handle.net/10481/106917 10.1093/reseval/rvaf040 eng http://creativecommons.org/licenses/by-nc-nd/4.0/ open access Attribution-NonCommercial-NoDerivatives 4.0 Internacional Oxford University Press