ZOU Ziming Ph.D. Professor
National Space Science Center, CAS
The lecture describes the data management model of space science and the experiences in data practices in China. The multi-level data organization model is expounded, and the standard specifications, such as metadata standard, data classification and storage standard etc., are also explained. Chinese Space Science Data Center (CSSDC) established a space science database and a meta database according to this set of data organization model in data practices, which supports several data sharing systems. These systems contain variety of functions, including data resources, data analysis, data simulation, data visualization and so on, such as space science data sharing platform, solar-terrestrial and astronomical research network. These systems provide long-term service to scientific community. The entire life cycle management of scientific data is basically realized in the Strategic Priority Program on Space Science (SPP), from project demonstration to data archiving. Taking SPP as an example, we comprehensively introduce the data management at different stages of the entire life cycle of data, analyze the software, tools and key technology which used in the practices and conclude the experience and lessons in system development, software and tools usage and data sharing.