：文章从人文社科研究过程入手，分析了数据驱动的人文社科研究在数据获取、数据处理、数据共享各阶段存在的数据需求、数据隐私、数据质量、数据权益等问题。最后，从微观的数据层面，对数据驱动的人文社科研究提出了促进人文社科数据资源开放共享、构建多维度的人文社科研究数据管理与监督机制、加强人文社科研究人员的数据素养教育等3个方面的对策建议。

Clarifying the data problems faced by humanities and social sciences research under the big data environment is conducive to promoting the deep integration of big data and humanities and social sciences research. Starting from the research process of humanities and social sciences, this paper analyzes the problems such as data requirements, data privacy, data quality and data rights in data acquisition, data processing and data sharing of humanities and social sciences research. Then，targeted suggestions are put forward in three aspects: promoting the sharing of humanities and social sciences data resources, informing multiple-dimension data management and supervision mechanism of humanities and social sciences research, and strengthening data literacy education for humanities and social sciences researchers.