Science Research Management ›› 2013, Vol. ›› Issue (4): 108-114.

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The utilization evaluation for large-scale scientific instruments based on rank-sum ratio model

Zhang Xuecheng1, Han Congying2, Zhao Tong2,3, Yang Haizhen1   

  1. 1. School of Management, University of Chinese Academy of Sciences, Beijing 100190, China;
    2. Research Center for Science and Technology Resource Management, University of Chinese Academy of Sciences, Beijing 100049, China;
    3. School of Mathematical Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
  • Received:2012-03-04 Revised:2012-12-04 Online:2013-04-27 Published:2013-04-19

Abstract: Large-scale scientific instruments are the important scientific and technological resources. Making a comprehensive evaluation on the utilization of large-scale scientific instruments should be the basis for the rational allocation and effective management of equipment. Rank-Sum Ratio (RSR) method is a set combining respective advantages of parametric statistics with non-parametric statistics in one statistical analysis method, and is able to make a comprehensive evaluation on various indicators of multiple objects. Based on the relevant data collected from project of China’s Large-scale Scientific Instruments Resources Survey (2009) sponsored by the Ministry of Science and Technology Platform, a RSR evaluation model is established to make the comprehensive evaluation on the utilization of China’s large-scale instruments. The evaluation results are relatively integrative and comprehensive. It possesses an important reference value for finding out the utilization situation of China’s large-scale-scale instruments and promoting the relevant management policies and systems that bring large-scale equipment into play.

Key words: RSR model, large-scale scientific instrument comprehensive evaluation, management policy

CLC Number: