- / About SADR
- About SADR
NSSDC SADR is a secure storage and sharing platform for the article data in the field of Space Science aiming to provide data services (e.g. data acquisition, long-term preservation, publishing, sharing and access) for researchers, research projects/teams, journals, institutions, universities, etc. Supporting a variety of data acquisition and licensing. NSSDC SADR is dedicated to promoting data findable, citable and reusable on the prerequisite of protecting the rights and interests of data owners. It is built by National Space Science Data Center and operated by Chinese Academy of Sciences Computing and Network Information Center.
- Our Mission
NSSDC SADR devote to become a repository of article data in the field of Space Science. The repository ensures the long-term and secure storage of article data, providing data publishing and accessing services to the international science community, academic journals, publishers, and other stakeholders. Its mission is to promote the findability, accessibility, interoperability and reusability of scientific data (FAIR Principles), and cultivate data sharing culture in Chinese space science community.
- Key features
NSSDC SADR is now equipped with an optimized search engine to enhance the findability of all published data.
Unique data identifier
NSSDC SADR is equipped with automated DOI registration and administration to ensure a unique identifier for each published dataset. It supports the registration and authentication by DOI (Digital Object Identifier) , PID(Permanent Identification) and CSTR (Chinese Science and Technology Resource) systems.
Open and sharing data
While respecting authors’ intellectual property, NSSDC SADR advocates and supports data open and sharing under Creative Commons license CC0 and CC BY 4.0
NSSDC SADR is equipped with tools for standardized metadata collection and automated data identifier registration. A standard citation format is recommended for each data resource to ensure its citable.
NSSDC SADR enables provenance of all the data resources uploaded, by recording, publishing, and annotating all the historical versions.
At NSSDC SADR, the impacts of each dataset visits, downloads, related article paper visits are represented from multiple dimensions and at various granularities.