Abstract:

Space science is a discipline that focuses on the solution to basic but significant problems and research, such as the origin and evolution of the universe and human life or the relationship between the solar system and human beings. It is a quickly developing frontier subject in the natural sciences worldwide. Because of the key roles it plays in promoting the innovation of science and technology, in assisting the development of the economy, and in guaranteeing our country's safety, space science data are considered to be an indispensable resource of science and technology infrastructure. Currently, China has set up 20 national subject data centers to collect, save, and share scientific data in different subject domains. As one of these 20 data centers, the China Space Science Data Center (CSSDC) is responsible for the centralized collection, permanent preservation, and unified sharing of China’s space science data. According to the basic standards and rules needed in scientific data processing and project management implementation, such as guides for data organization, exchanging, archiving, and publication, the CSSDC has built a set of data resource organization models to guide hierarchical data organization, storage, and management. In these models, data products, data(products) sets, and data volume were defined, and the supporting data resources (metadata) that assist the interpretation, indexing, application, and management of data were constructed as well. This data organization model was adopted in CSSDC data processing, sharing andmanagement projects and achieved good results. At this critical stage in the construction of the CSSDC, the use of this data organization model in different scientific research projects in space science is strongly recommend. This measure can ensure the integrity, normalization, and uniformity of the space science data that are collected from different science and technology projects. Meanwhile, the space science data product organization model is highly portable and can hence provide some references for the data organization, storage, and sharing management of other disciplines.

Key words: space science data, organization framework, data products, data sets, metadata, scientific data management, scientific data