Preserving the RHIC Legacy with an AI-Enhanced Data and Knowledge Plan
ORAL
Abstract
As the Relativistic Heavy Ion Collider (RHIC) at Brookhaven National Laboratory concludes its 25-year program, a comprehensive Data and Analysis Preservation Plan (DAPP) is being developed to ensure the long-term reuse of its scientific output. RHIC’s nearly one exabyte of data and more than 600 publications constitute a unique and irreplaceable resource in nuclear physics.
The DAPP goes beyond traditional data archiving by capturing analysis workflows, software environments, and expert knowledge. Decades of research have produced a diverse array of tools and documentation, much of it fragmented or undocumented, necessitating structured and searchable access for future users.
To address these challenges, the plan integrates scalable infrastructure with AI-enhanced tools that transform code, documents, and logs into a coherent knowledge base. Key features include natural language search, reproducible computing environments, and curated metadata. All components are open source, establishing a model for future preservation efforts.
The DAPP goes beyond traditional data archiving by capturing analysis workflows, software environments, and expert knowledge. Decades of research have produced a diverse array of tools and documentation, much of it fragmented or undocumented, necessitating structured and searchable access for future users.
To address these challenges, the plan integrates scalable infrastructure with AI-enhanced tools that transform code, documents, and logs into a coherent knowledge base. Key features include natural language search, reproducible computing environments, and curated metadata. All components are open source, establishing a model for future preservation efforts.
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Presenters
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Eric C Lancon
- Brookhaven National Laboratory (BNL)