Abstract:

[Context] With the continuous implementation of near-space exploration, near-space scientific data is growing rapidly, covering multiple disciplines and involving various multidimensional parameters. [Objective] The heterogeneity of data structures, diversity of data sources, and richness of data types pose new challenges to the technologies, mechanisms, processes, and methods used in data integration, storage, management, and sharing. [Methods] Given the characteristics of near-space scientific data, such as complicated types, diverse sources, multiple disciplines, and multiple parameters, a core metadata model of near-space scientific data is designed to meet the needs of data collection, data management, and data sharing services. The mechanism of near-space scientific data management and sharing service is explored, including data collection and receiving, data classification, and data quality control. [Results] The first domestic platform of near-space scientific data management and sharing service is developed based on the mechanism of near-space scientific data management and sharing service, and a high-performance spatio-temporal data sharing service framework integrating access control, query and retrieval, sharing and distribution, and statistical analyses is designed. [Conclusions] The platform, which has collected 567 datasets with a total data volume of over 136 TB through practical application, provides effective support for the follow-up exploration of near-space.

Key words: near-space scientific data, core metadata, data collection, access control, data sharing