A shared storage and data movement service for research workflows.
Edge-DTN-STOR expands flexible storage resources across the Edge network to accelerate cross-institutional computational and data-intensive research and STEM education.
What Edge-DTN-STOR provides
The service combines shared storage, Nextcloud collaboration, and DTN-aware data movement patterns so researchers can work across institutions and national cyberinfrastructure resources.
96 TB shared storage
Storage for NSF CRISPIE project partner institutions, optimized for AI/ML data streams, simulations, instruments, and collaborative research.
Researcher-friendly access
Use the web UI, WebDAV mounting, desktop clients, or workflow integrations depending on the size and style of the data movement.
DTN-integrated architecture
Dedicated Data Transfer Nodes support high-speed, secure movement for large datasets without slowing campus login nodes.
National CI alignment
Designed to support workflows connected to NRP, OSG, ACCESS, NAIRR Pilot, and related research ecosystems.
What is a Data Transfer Node?
A Data Transfer Node is a dedicated, high-performance computing environment optimized for moving large datasets through a Science DMZ. DTNs reduce bottlenecks and keep data-transfer work away from shared login nodes.
Common DTN uses
- Moving genomic datasets or high-resolution images from instruments to analysis clusters.
- Using tools such as rclone or Globus to move data to and from cloud storage or Google Drive.
- Transferring datasets between supercomputing sites.
- Moving large files with SCP or SFTP on university research grids.
Why it matters
By improving storage accessibility and transfer performance, Edge-DTN-STOR supports AI/ML workflows, simulation output pipelines, instrument data movement, classroom integration, and regional research capacity across New Jersey and beyond.
Who it serves
Partner institutions
Broader impact
- Build campus research capacity and innovation infrastructure.
- Support sectors critical for economic growth, including biopharmaceuticals, healthcare, and advanced materials.
- Advance high-throughput computing for research and education.
- Focus on non-R1 institutions, primarily undergraduate institutions, and community colleges.
- Support training, workforce development, conference engagement, and student participation.
Project team
The CRISPIE team brings together campus cyberinfrastructure, research computing, networking, and program leadership across partner organizations.