Data Librarian refers to a librarian who has been systematically trained in data management, storage and storage to manage all kinds of data scientifically using the appropriate technology (mainly computer technology) and related disciplines. Data librarians are mainly located in research institutes in developed countries in Europe and the United States [1] . Their job responsibilities relate to resource management, data services, technology platforms and analytical tools, legal and ethical aspects. Librarians work on management of data sources, the development of data management policies; data selection, preservation, storage and maintenance, metadata creation and conversion, to carry out the corresponding data services: such as data management Planning consulting, data analysis, data access services, data reference, data sharing and so on. University librarians engaged in data management and service librarians should have the corresponding data literacy, with the ability to guide users to enhance data awareness, build data using skills and basic skills [2] . Therefore, the training of librarians with data processing, operation and transformation ability as the core of the data skills becomes the main task of librarian data literacy education.

University libraries abroad attach great importance to data service practitioners data awareness and ability, have been carried out data literacy education related courses, lectures and learning plans, most of the foreign university libraries have developed a special training program and regularly on the database Staff to carry out all-round, multi-level job training.

There are many ways to train foreign librarians, including library internal, library association, data supervisor and so on. The training method is flexible, the training method is not only limited to the course training, but also the discussion of the meeting, online learning, field teaching and so on, and short-term training mainly for the data librarian to use free time to learn. Training content design focuses on the combination of theory and practice [3] . The horizontal point of view is generally around the life cycle of scientific research, involving data collection, organization, management, preservation, utilization and reuse activities, and related data policy, data management plan, data sharing and other content, focusing on data analysis tools, data management plan writing, data reference, data ethics and other knowledge and skills training; from a vertical perspective, scientific data management resources, data literacy, general education, subject data literacy education constitute a shallow and deep continuous whole, have a hierarchical progressive nature.

The data literacy embodies the perception and understanding of the data. The data literacy of university librarians mainly includes four parts: data consciousness, data knowledge, data skills and data ethics [4] . The data skill is the core part of data literacy, the ability to use, display and evaluate the data to show the librarian’s ability to process the data and innovate on the basis of the original data, which directly affects the quality of the librarian’s data service and determines the librarian’s level (Table 1).