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AI Readiness, AI Reproducibility, and Data Stewardship

Year: 2025

Type: article

Abstract: This session will discuss lessons learned and emerging community practices as they relate to AI Readiness and AI Reproducibility. Insights into ways to leverage Gen-AI and LLMs for data stewardship will be shared, as well as open research questions, and gaps in practices at the intersection of AI and data. Please bring your own practices and insights to the session so they can inform the NSF-funded FAIR in Machine Learning, AI Readiness, (AI) Reproducibility Research Coordination Network (FARR). This presentation was part of the UC Love Data Week 2025 program (https://uc-love-data-week.github.io).

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.14926743

Author: Kirkpatrick, Christine

Institutions: San Diego Supercomputer Center, National Center for Supercomputing Applications

Language: English

Topic: Research Data Management Practices

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W6911975810

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