Chinese National Space Science Data Center (NSSDC)’s Data Services Practices for Interdisciplinary Research and Application

There are many cutting-edge interdisciplinary scientific problems in the Earth and space sciences, such as solar-terrestrial complex system research and study of celestial bodies.The cross-disciplinary data discovery and access services, data analysis and fusion services are a common need for users of these cutting-edge problems.

This presentation introduces data services practices implemented by the NSSDC as a national-level data centre, in order to enhance findability and accessibility of data for interdisciplinary research and application. Basically, NSSDC has formed an multidisciplinary data resources system, including space astronomy, space physics and space environment, planetary science, space geoscience, etc. In order to share data, NSSDC customizes the data service system for each satellite project and ground-based observation project. To enhance the discoverability, NSSDC developed a data retrieval platform which proving a cross-system, cross-disciplinary, distributed data resource discovery service. Meantime, the data catalogues are synchronized to third-party platforms by harvesting or registration through the data retrieval platform. Besides, multidisciplinary analysis and fusion tools and IT infrastructure will be integrated a research data infrastructure in the field of solar-terrestrial space physics and astronomy.

Especially, NSSDC have established strategic cooperation with other National Science Data Centers in the fields of astronomy and high-energy physics. For the common community of specific cross-cutting scientific problems and applications, NSSDC has engaged in practices such as the co-construction of multi-source data resources, the interconnection of data infrastructures, and the construction of data application ecosystems. Finally, this presentation also will explain the NSSDC’s next practice plan in data new paradigm technology innovation cooperation with more interdisciplinary data centers.