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社会科学数据的快速增长已成定局,大数据分析技术日新月异,科学数据研究必然会成为社会科学的重要研究方向之一。文章借鉴科学数据共享研究包括自然科学数据共享研究的相关经验,以扎根理论为指导,最终得出社会科学数据共享驱动因素,包括:经济补偿、数据管理意识、节省成本、道德激励、数据回报、学术交流、学术认可、政策驱动和社会评价9个因素。在其基础上提出推动我国社会科学数据共享发展的建议和策略。
The rapid growth of social science data is a foregone conclusion, big data analysis technology is changing with each passing day, and scientific data research will surely become one of the important research directions in social sciences. Based on the theory of grounded theory, the article draws lessons from the related research of scientific data sharing, including the related experiences of natural science data sharing research, and finally draws the driving factors of social science data sharing, including: economic compensation, data management awareness, cost saving, moral encouragement, data return, Academic exchanges, academic recognition, policy-driven and social evaluation of 9 factors. On the basis of which we put forward suggestions and strategies to promote the development of social science data sharing in our country.