Quantitative Evaluation of China's Scientific Data Management Policies Based on The PMC-AE Index Model

In the process of promoting the open sharing of scientific data management, a standardized and effective scientific data management policy is crucial, which could provide effective theoretical support for the improvement of the scientific data management policy system. To address this problem of imperfect evaluation mechanism and lack of quantitative analysis, we take Chinese scientific data management policies as the research nut. Firstly, we construct an evaluation index system with nine causal variables and a PMC-AE index calculation model, and conduct a more comprehensive evaluation and quantitative analysis of the seven mainstream scientific data management policies in China. The analysis results show that the overall distribution of Chinese scientific data management policies show “national-level-provincial and municipal-level-universities/research institutions”.