AuraOneResearch grant
U.S. National Science Foundation
AI Datasets: unlock scientific dataset value
Prepare existing scientific datasets for AI through metadata, harmonization, augmentation and robust pipelines.
Existing opportunity recheckOctober 31, 2026
Public-source research
Public-source research
- 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
- Status
- open
- 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
Check active UEI/SAM and Research.gov readiness, a rights-cleared scientific dataset, research-team capacity and a credible scientific-community impact case; select an appropriate award tier only after those checks.
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.
Official NSF 26-512 solicitation rechecked October 31. U.S.-based commercial organizations must have strong scientific/engineering research or education capability. Scientific dataset/community research value is required; routine labeling is insufficient. Competitive maxima are not AuraOne revenue. No application, registration or submission was performed.
Official links and evidence
Checked 2026-10-31T22:35:39.763345+00:00. Full documents and amendments control. No registration, application, submission or spending has been performed.