Towards a model of research data management readiness in Indonesian context: An investigation of factors and indicators through the fuzzy delphi method

The research data management (RDM) readiness model assists research institutions in measuring their readiness level and identifying gaps to develop a strategy for implementing RDM. The technology, organization, people, and environment (TOPE) framework was used as a guideline in selecting the appropriate factors and indicators. The fuzzy delphi method was employed to validate the factors and indicators derived from the literature review. Hardware, policy, management support, organizational structure, situation awareness, training, and funder policy are all factors that reached the expert consensus. Strategy is a factor that included two indicators that did not reach expert consensus. The final result of the analysis indicates that the proposed readiness model should include 13 factors with 32 indicators. This study reveals that the environment is a key dimension of RDM readiness, which previous studies have not discussed. Moreover, research institutions can employ the model to assess their readiness and identify areas for improvement, and to potentially reduce failures in RDM implementation.