Making Your Repository More Accessible to AI (Blueprint Series)

The webinar series is hosted by NIAID’s Office of Data Science and Emerging Technologies (ODSET), and delivered by experts from GO FAIR US (GFU). who co-developed the NIAID Blueprint.

Making Your Repository More Accessible to AI will explain the benefits of exposing data resources to certain AI systems. The webinar will introduce use cases where AI agents uncover new data resources, as well as relevant considerations for application programming interfaces (APIs) to provide the sort of metadata and context that LLMs may handle. This webinar will explore the evolving security landscape and implications for trustworthy data.

The webinar is open to all, and will dedicate ample time for questions and discussion. A recording and slides will be available to all participants after the session. Please register with the link below and contact us with any questions or concerns via Lisa Mayer at lisa.mayer@nih.gov.

Visit GO FAIR US to learn more.

Instructor

Douglas Fils

IT Specialist/IT Architect, SDSC

Douglas Fils is a member of the San Diego Supercomputer Center’s (SDSC) Research Data Services division. His activities include in the EarthCube DeCODER project where he works on knowledge graphs and semantic data modeling. Doug is active in the code development to support the backend process of data in support of this project. He is is also connected with the GO FAIR US organization and their Leidos Biomedical Research, Inc funded research subcontract to conduct data landscaping work on behalf of the National Institute of Allergy and Infectious Diseases (NIAID), part of the National Institute of Health (NIH). In this work he is focused on FAIR assessments and related elements of web architecture and related emerging approaches to FAIR. Doug is active in the Earth Science Information Partners (ESIP), ML Commons and Research Data Alliance communities. He is also involved in the CODATA community through their Cross Domain Interoperability Framework (CDIF) which is working to support FAIR implementations for cross domain science.

Questions?

Contact SDSC Events Coordinator