"Agentic AI in Smart Data Pipeline for Environmental Research Data Mana" by Boyuan Guan, Amanda Wingert Barok De Souza et al.
 

Date of this Version

7-2025

Document Type

Presentation

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Abstract

This poster presents the NSF-funded EnviStor, a smart data infrastructure that integrates storage, computation, metadata, and visualization tools to support environmental and climate data research. It highlights the implementation of a Smart Data Pipeline using Agentic AI to streamline data discovery, harmonization, cleaning, and visualization within high-performance computing environments. The project explores the use of AI agents in managing large, heterogeneous datasets and improving metadata generation and discoverability, while enabling collaboration through Open Science networks. Future directions include evaluating the accuracy of AI-assisted tasks across varied environmental data use cases.

Creative Commons License

Creative Commons Attribution 4.0 License
This work is licensed under a Creative Commons Attribution 4.0 License.

Comments

This project is supported by the National Science Foundation (NSF) under award #2322308.

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