The aim of this study was to present a model for the development of data-driven governance in Iranian sports, which was conducted in a mixed manner. The statistical sample of the qualitative section included subject-aware experts who used purposive sampling method to identify these samples. This sampling continued until the theoretical saturation was reached and finally 12 people were identified as samples in the qualitative section. Also, the statistical population in the quantitative section included all people aware of the field of research present. Finally, after conducting surveys, an approximate number of 89 people was identified. Data collection tools include a semi-structured questionnaire and a researcher-made questionnaire. In order to analyze the data of the present study, coding and structural equation testing were used. The whole process of data analysis was performed in SPSS, PLS and Maxqda software. The present study identified that supportive aspects, individual issues, legal aspects, technical infrastructure and security issues as the underlying conditions play an important and key role in improving data-driven governance. The results also showed that the development of data-driven governance in sport has managerial, sporting and informational implications.