Presenting a conceptual model for identifying research data management in the libraries of Qutb 7 medical universities

The aim of this study was to identify several dimensions and components of research data management in Qutb 7 academic libraries; Examining the current situation and presenting a conceptual model was performed.

The present study is a combined study using the Delphi approach that was conducted in three stages. The statistical population of the study was the experts of university libraries in 7 countries; Cronbach's alpha and content validity were used to determine the reliability and validity of the measurement tool. In the analysis of qualitative data, the foundation data method and quantitative data from descriptive indices, fit and confirmatory factor analysis were used.

The average factor loads of data management components were higher than 0.8 and acceptable. 99% confidence, good fit of 12-component measurement models (data infrastructure; regulatory role; reuse; budget; organization; information services; sharing; training and updating; distribution & dissemination; policy-making; Confirmed. The results of t-test in a small part showed that there was a significant difference (t-value = 80.50) between the desired and existing status of data management in the libraries of Qutb 7 medical universities and the current status was lower than average. The general results of the research indicate that the central category of the present study consists of 12 dimensions and 38 components, the most important of which were examined according to the causal, contextual and mediating conditions, and the development strategies and the final model based on it are presented.