Speaker
Description
Mission Science Data Systems (SDS) are essential infrastructures for transforming spacecraft observations into accessible and usable scientific resources. However, developing and operating SDS for different space missions often requires addressing diverse mission objectives, payload configurations, data formats, processing pipelines, and operational constraints. This frequently results in mission-specific solutions, duplicated software development, and challenges in long-term maintenance and evolution.
The National Space Science Data Center (NSSDC) of China has been developing and operating science data systems for multiple space science missions, supporting a broad range of scientific satellite programs in China. These systems cover the complete data lifecycle, including telemetry data ingestion, scientific data processing, product generation, quality control, metadata management, archival storage, and user-oriented data services. In addition to domestic space science missions, NSSDC has also supported international collaborative missions, including the SVOM mission jointly developed with the French National Centre for Space Studies (CNES) and the Solar wind Magnetosphere Ionosphere Link Explorer (SMILE) mission jointly developed between China and Europe.
Through the development and operation of these multi-mission SDS, we have accumulated practical experience in designing reusable architectures, integrating heterogeneous scientific instruments, managing diverse data products, and establishing interoperable data services. We will present lessons learned from different mission scenarios, including challenges associated with mission-specific customization, software reuse, system scalability, international collaboration, and long-term operational sustainability.