：文章基于人文社科研究的特点，分析了人文社科知识服务在数据驱动范式下存在的现实性困境与诉求，进而从资源、功能、制度三个方面构建了知识服务框架，并对部分关键问题进行讨论。研究认为，数据驱动下的人文社科知识服务应通过拓展数据源、引入大数据处理技术等方式，为人文社科研究者提供数据定制、技术指导、辅助分析、智慧推送服务，并在数据安全、数据产权和人才建设方面予以保障。

Focus on the characteristics of social science, this paper analyzes the dilemma and requirement of data-driven knowledge service, introduces a knowledge service framework from three aspects: resource, function and institution, and then discusses some key issues such as the role of service. Data is the core of knowledge services. It is necessary to expand the data source and adopt new technology to help researchers by providing customized data set, technical training, analysis assistance and smart recommendations. Issues such as data security, data property and human resources are also mentioned.