Earth System Information Partners July 2025 Meeting

Hampapura, H. (Organizer)
Schuster, D. (Organizer)

Data Engineering & Curation Section

Activity: Attend an event › Conference

Description (optional)

Douglas Schuster (co-organizer) and Harsha Hampapura (main organizer) organized a session titled '
Advancing Earth System Science by innovating distributed streaming data access and data-proximate computation'

Estimated # of Participants (if applicable)

Period	Jul 22 2025 → Jul 25 2025
Event type	Conference
Location	Seattle, United StatesShow on map
Degree of Recognition	International

Documents & Links

The Open Science Data Federation (OSDF, https://osg-htc.org/services/osdf) is an NSF-funded infrastructure which connects disparate datasets into a single, nation-wide data distribution network that can democratize and deliver data to a wide range of computational environments. This session is aimed at two different groups of participants - 1) Open Data providers who might be interested in learning how to leverage the capabilities of OSDF to provide distributed access to their geoscience datasets and 2) Researchers who are interested in using these datasets. Through lightning talks, demonstrations, and open discussion, we will showcase OSDF-enabled workflows, provide practical guidance on how to contribute to or leverage the OSDF ecosystem, and run a short demonstration of using NCAR’s data through the NSF’s OSPool (https://osg-htc.org/ospool) resource. Speakers 1. Open Science Data Federation (OSDF): Connecting the Nation’s Datasets Speaker: Brian Bockelman 2. Integrating NSF NCAR’s data infrastructure with the OSDF Speaker: Harsha Hampapura 3. Auto-calibration of PISM ice sheet flow parameters with OSPool Speaker: Joseph Kennedy 4. Leveraging Self-Supervised Learning and Human Expertise to Analyze 20+ Years of NOAA Fisheries Acoustic Data Speaker: Alex Hoelzemann 5. National Data Platform: Data Distribution to Discovery Speaker: Claire Stirm Value to Session Participants: Open data providers will learn how OSDF can help increase the visibility and impact of their datasets while minimizing redundant data transfers and cloud ingress/egress costs. Scientists will gain insights into accessing curated datasets more efficiently, with delivery optimized for their preferred computational platforms. Both groups will benefit from shared workflows, best practices, and opportunities to shape future infrastructure development.