Data and Instruments
Scientific facilities, repositories, observational systems, and simulations produce and maintain data.
NSDF connects distributed data, storage, networks, computing, software, and scientific facilities through a modular, federated architecture.
Architecture
NSDF connects existing institutional systems rather than replacing them, allowing data providers to retain control while participating in shared discovery, access, streaming, and analysis workflows.
Scientific facilities, repositories, observational systems, and simulations produce and maintain data.
A domain-agnostic software stack provides a uniform interface across small, medium, and large computing centers and cloud providers.
Catalogs, metadata, data movement, streaming, access control, provenance, dashboards, and workflow services connect the ecosystem.
Researchers connect data to cloud, HPC, visualization, analytics, and AI-guided scientific workflows.
Networking
The NSDF pilot uses high-speed research networking, including Internet2 infrastructure, to support data movement among storage resources, computing sites, facilities, and entry points.
Deployment
Entry Points provide a uniform, domain-agnostic set of services that can be deployed at academic sites, computing centers, facilities, and cloud environments. Configurations can scale with the services and resources required by each site.
Education
NSDF uses deployments, tutorials, and real scientific datasets to validate services with diverse communities and to provide students with direct access to advanced scientific data and analysis methods.
Explore training opportunities →Software and Services
Federated discovery across distributed data collections.
High-performance transfer and selective access to remote data.
Live connections among instruments, dashboards, AI, and computing.
Interactive dashboards for remote exploration and scientific steering.
Scientific context, persistent identity, and reproducibility.
Connections to cloud, HPC, AI services, and domain applications.