临近空间科学数据管理与共享服务机制研究与实现OA

[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 rich-ness of data types pose new challenges to the technologies,mechanisms,processes,and meth-ods used in data integration,storage,management,and sharing.[Methods]Given the character-istics of near-space scientific data,such as complicated types,diverse sources,multiple disci-plines,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 mecha-nism of near-space scientific data management and sharing service is explored,including data collection and re-ceiving,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 manage-ment and sharing service,and a high-performance spatio-temporal data sharing service framework integrating ac-cess 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.