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title: "Automated Data Readiness for Scientific AI — Stuff That Spins"
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date: "2026-07-07T04:00:00+00:00"
modified: "2026-07-07T06:03:17.152327+00:00"
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# Automated Data Readiness for Scientific AI

**Source:** Unknown  
**Published:** July 7, 2026  
**Original:** https://arxiv.org/abs/2607.02771  

## On this page

- [Overview](#overview)

<a id="overview"></a>

## Overview

arXiv:2607.02771v1 Announce Type: new Abstract: 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 

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