Journal of Information Resources Management ›› 2023, Vol. 13 ›› Issue (6): 156-165.doi: 10.13365/j.jirm.2023.06.156

Previous Articles     Next Articles

Research on the Match between Chinese Research Data Open Sharing Policy Supply and User Demand

Fan Hao1 Zheng Xiaochuan1 Reziya Aihaiti2   

  1. 1. School of Information Management, Wuhan University, Wuhan,430072; 
    2. School of Information Management, Xinjiang University of Finance & Economics,Urumqi,830012
  • Online:2023-11-26 Published:2023-12-29

Abstract: Understanding the supply-demand matching of policy on openness and sharing of scientific research data is significant important for the optimization and adjustment of policies. On the basis of clarifying the supply and demand entities and their functional relationships, we constructed a matching indicator system consisting of 5 first level dimensions and 17 second level dimensions; The content analysis method is used to code 61 policy texts to obtain the matching order value of the supply side; The questionnaire survey method is used to conduct an empirical survey on user needs to obtain the matching order value of the demand side; Finally, the supply and demand matching is analyzed from two aspects of content matching and environment matching. At present, the overall supply and demand matching of China's open sharing policy for scientific research data is good, but the matching degree of data availability, hierarchical classification, infrastructure construction, platform service capacity, and evaluation mechanism is relatively low. Among them, the demand for data availability and platform service capacity is large but the supply is insufficient. The hierarchical classification, platform infrastructure construction, and evaluation mechanism all show a feature of oversupply, reflecting the imbalance between supply and demand, such as policy weaknesses and oversupply caused by insufficient understanding or weak motivation of research subjects.

Key words: Policy supply and demand matching, Data openness and sharing, Research data, Policiometrics, Content analysis

CLC Number: