Nutrition Data Infrastructure for the AI Era: Operationalizing FAIR for Agent-Mediated Research
AI agents can accelerate nutrition research, but their analyses inherit the identity, semantic, and release ambiguities of the underlying data. We present Nutrition Data Service (NDS), source-preserving infrastructure that operationalizes FAIR for automated use: description resolution makes release-specific records findable; typed crosswalks connect independently released resources; machine-readable interfaces expose versioned sources and crosswalks, making analyses by AI agents replayable and a
Record details
Published: 11 August 2026
Source: arXiv
Category: Research
Topics: Agents & autonomy
Retrieved: 12 August 2026
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How to cite this record
ethics.ai (11 August 2026), “Nutrition Data Infrastructure for the AI Era: Operationalizing FAIR for Agent-Mediated Research,” evidence record 18432, https://ethics.ai/record/18432 (originally published by arXiv).
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