The data sharing platform supports big data and cloud services by utilizing the extensive resources of the Chinses Academy of Sciences and other domestic and international units to facilitate data-intensive scientific applications in various fields. The data sharing service platform, which was officially launched on January 15, 2019, is a portal for publishing and sharing data resources.

Technical Framework

● According to the actual needs of data management and sharing, a data aggregation and sharing service mechanism for multi-mode collaborative services was designed.

● A hybrid data aggregation mode (combining physics and logic) was established to provide a special data engine for remote sensing data and to interconnect distributed data service systems.

● An application-oriented data fusion mechanism was adopted to improve the data exchange between systems and provide integrated services for data sharing through the application of machine-understandable data application program interfaces.

For more information visit the Data Sharing and Service Portal.