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.