This paper constructs a research framework of Human Resources Big Data based on different data types and levels of research topics, and further reviews the existing literature from the perspectives of content data, relational data and user behavior data. The results demonstrate that the study of human resource management using big data is still in the primary development stage. The relevant literature mainly focuses on topics at the macro level, such as talent flow, policy evaluation, inter-organizational network, etc. However, research on recruitment, training and performance management at the micro level is not as comprehensive. In view of this, we have given some research directions on human resources with big data.