{"slug": "automated-data-readiness-for-scientific-ai", "title": "Automated Data Readiness for Scientific AI", "summary": "Researchers at leadership computing facilities developed REDI, an open-source framework that automates the transformation of large-scale scientific datasets into AI-ready training data through a five-stage pipeline. Evaluated across climate, proteomics, materials science, and nuclear fusion, REDI achieved near-ideal parallel scaling on Frontier and converts data preparation bottlenecks into reproducible community assets.", "body_md": "arXiv:2607.02771v1 Announce Type: new\nAbstract: Leadership computing facilities steward large-scale scientific datasets that routinely require substantial transformation before serving as AI training data. However, no existing framework fully unifies automated transformation, readiness assessment, provenance tracking, and agent-native deployment. We present REDI, an open-source framework that addresses this gap through a unified five-stage pipeline (ingest, preprocess, transform, structure, and output) with per-stage instrumentation for reproducibility and deployment as an agent-callable skill; companion tool SetGo automates FAIR compliance and catalog publication. Evaluated across climate, proteomics, materials science, and nuclear fusion, REDI transforms all datasets from raw to AI-ready, with outputs validated against domain-expert references, and preliminary results show near-ideal parallel scaling to 100 nodes on Frontier for the climate case. Provenance-instrumented profiling reveals file I/O as the dominant pipeline cost, with format selection a first-order optimization lever. These results establish REDI as a cross-domain platform providing automated data readiness for scientific AI, transforming data preparation bottlenecks into reproducible, reusable community assets.", "url": "https://wpnews.pro/news/automated-data-readiness-for-scientific-ai", "canonical_source": "https://arxiv.org/abs/2607.02771", "published_at": "2026-07-07 04:00:00+00:00", "updated_at": "2026-07-07 04:03:13.899716+00:00", "lang": "en", "topics": ["artificial-intelligence", "machine-learning", "ai-tools", "ai-infrastructure", "ai-research"], "entities": ["REDI", "SetGo", "Frontier", "arXiv"], "alternates": {"html": "https://wpnews.pro/news/automated-data-readiness-for-scientific-ai", "markdown": "https://wpnews.pro/news/automated-data-readiness-for-scientific-ai.md", "text": "https://wpnews.pro/news/automated-data-readiness-for-scientific-ai.txt", "jsonld": "https://wpnews.pro/news/automated-data-readiness-for-scientific-ai.jsonld"}}