This paper initially conducts a literature review and content analysis of the open research data policies in China. Next, a series of exemplars describe data practices to promote and enable the use of open research data, including open data practices in research programs, data repositories, data journals, and citizen science. Moreover, the top four driving forces are identified and analyzed along with their responsible guiding work. In addition, the "landscape of open research data ecology in China" is derived from the literature review and from observations of actual cases, where the interaction and mutual development of data policies, data programs, and data practices are recognized. Finally, future trends of research data practices within China and internationally are discussed. We hope the analysis provides perspective on current open data practices in China along with insight into the need for additional research on scientific data sharing and management.
While the scientific research value, economic value and social value of research data have become increasingly apparent, the significance of open research data has reached a consensus. This article gives an introduction to open research data policies and measures in China, and reports on the status of constructing necessary infrastructure, specifically open data repositories. We compare open data repositories in China and Western countries in terms of scale, subject distribution, data policies, service and content operations. In addition, this article summarizes methods and motivations for data sharing among researchers in China. Finally, the paper discusses the characteristics, potential problems and challenges of China's open research data practices. We conclude with some suggestions for the future development of open research data in China from data policy, infrastructure construction, compliance with international standards and norms, credibility and influence improvement, incentives for data sharing and encouraging data sharing research practices.
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