AuraOneResearch grantHigh strategic fit
U.S. National Science Foundation
AI Datasets: unlock scientific dataset value
Prepare existing scientific datasets for AI through metadata, harmonization, augmentation and robust pipelines.
Three entities. Separate paths.Oct 1, 2026
Published research snapshot
Published research snapshot
- Funding / contract value
- Planning ≤ $200K · Impact ≤ $2M · Flagship ≤ $5M
- Amount basis
- Per award; not guaranteed
- Deadline as published
- Nov 4 · 5:00 PM submitting organization’s local time
- Entry route
- Eligibility check
- Evidence
- Official page
- Reference
- NSF 26-512
WHY IT FITS · ANALYST ASSESSMENT
A close match for expert data quality, provenance, scientific evaluation and AI-ready dataset operations. A research contribution and community utility—not routine labeling—must lead.
Recommended next action
Draft a dataset-specific concept; prove rights, scientific demand and team capability before selecting planning or impact scale.
Eligibility
U.S. businesses with strong research/education capabilities are permitted, alongside eligible academic, nonprofit and government organizations. Active UEI/SAM registration is required.
Requirements to verify
- One lead organization; collaborators are subawards.
- Document data security, integrity, governance and scientific use.
- Select the appropriate award category; do not treat $5M as the default ask.
Eligibility and complete application documents must be checked before any submission.
Official links and evidence
Checked 2026-10-02T03:25:26Z. Full documents and amendments control. No registration, application, submission or spending has been performed.