An Empirical Study on Factors Influencing Chinese Researchers' Research Data Reuse Behavior: Using Bioscience as an Example
Zhang Xiaoyue1,2, Song Xiufang1,2, Liping Ku1,2, Liu Jinya1,2, Chen Xinlan1,2
1.National Science Library, Chinese Academy of Sciences, Beijing 100190 2.Department of Library, Information and Archives Management, School of Economics and Management, University of Chinese Academy of Sciences, Beijing 100190
Abstract Understanding influential factors and the mechanisms behind researchers' research data reuse behavior can support the formation of data reuse ecosystem, where open data (or data sharing) and data reuse can promote one another. Through a literature review, this paper put forward the theoretical model of research data reuse behavior based on an ecosystem perspective. We chose researchers from the Chinese Academy of Sciences in the bioscience departments as a sample and conduct convergent mixed method research in the following manner. PLS-SEM approaches were used to analyze the quantitative data from the questionnaire, and we collected supplementary qualitative data from open-ended questions in the questionnaire and results from semi-structured interviews with 10 representative researchers. These two kinds of data were then combined. Results reveal that perceived community culture foundation and perceived reuse support usability positively influence researchers' research data reuse behavior. Our research suggests that stakeholders should pay attention to research data quality control and researchers' rights management, specifically including the following recommendations: 1) promoting the internationalization of large domestic scientific data centers (repositories); 2) setting up a collaborative network in order to leverage the power of important groups and individuals; and 3) the formation of multiple strategies for research data reuse services.
Zhang Xiaoyue,Song Xiufang,Liping Ku, et al. An Empirical Study on Factors Influencing Chinese Researchers' Research Data Reuse Behavior: Using Bioscience as an Example[J]. 情报学报, 2021, 40(8): 887-902.
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