- IN11D-0325: The National Data Platform Experience in Supporting NASA-Relevant Research: A Cloud-Native Composable Service Ecosystem for Scalable, FAIR, and AI-Enabled Earth Science
-
Board 0325‚ Hall EFG (Poster Hall)NOLA CC
Author(s):Generic 'disconnected' Message
Ilkay Altintas, University of California San Diego (First Author, Presenting Author)
Manish Parashar, University of Utah
Melissa Floca, University of California San Diego
Jess Tate, University of Utah
Saleem Alharir, U Utah
Charles Meertens, UNAVCO, Inc.
Amarnath Gupta, University of California San Diego
Kate O'Laughlin, University of California San Diego
Developed to support data-intensive scientific discovery across institutions and disciplines, the National Data Platform (NDP) integrates cloud storage, compute, metadata and knowledge catalogs, workflow orchestration, and AI tools into a unified platform. This abstract presents the NDP experience in supporting NASA-relevant research, including cross-domain use cases in wildfire modeling, weather monitoring, earthquake detection, and remote sensing. By leveraging containerized workflows, federated identity management, and edge-to-cloud data pipelines, NDP enables rapid experimentation, reproducibility, collaboration, crowdsourcing platforms (data challenges), interactive classroom environments, and integration with national cyberinfrastructure. We highlight architectural principles, lessons learned in managing distributed endpoint environments, and examples of AI workflows accelerated by the platform. This work demonstrates how a composable, interoperable framework can reduce barriers to entry for cloud adoption while enabling transformative discoveries in Earth and planetary science.
Scientific DisciplineSuggested ItinerariesNeighborhoodType
Enter Note
Go to previous page in this tab
Session
