YES, IT'S VERMARCABLE
Machine Learning: Research Institutions, Standards Bodies & Registries
A free, platform-curated directory of the public institutions, standards bodies, benchmark consortia, and open registries that shape machine-learning research and governance, drawn from official agency and organization sites. Each record lists the entity's name, role, jurisdiction, and official URL. Helpful for compliance teams, procurement, and researchers who need one canonical map of where model standards, benchmarks, models, and incident data actually live.
{
"_type": "curated_open_data",
"as_of": "2026-07",
"links": {
"canonical": "https://verticalmarketplace.ai",
"docs_for_llms": "https://verticalmarketplace.ai/llms.txt",
"sell_your_own": "https://verticalmarketplace.ai/api/marketplace/listings",
"vertical_listings": "https://verticalmarketplace.ai/api/marketplace/listings?vertical=ai-ml"
},
"records": [
{
"url": "https://www.nist.gov/itl/ai-risk-management-framework",
"name": "National Institute of Standards and Technology (NIST)",
"role": "Publishes the AI Risk Management Framework and measurement standards",
"jurisdiction": "USA"
},
{
"url": "https://hai.stanford.edu/",
"name": "Stanford Institute for Human-Centered AI (HAI)",
"role": "Publishes the annual AI Index report on the state of model development",
"jurisdiction": "USA"
},
{
"url": "https://oecd.ai/",
"name": "OECD.AI Policy Observatory",
"role": "Tracks national model policies and the OECD AI Principles",
"jurisdiction": "International"
},
{
"url": "https://digital-strategy.ec.europa.eu/en/policies/ai-office",
"name": "European AI Office (European Commission)",
"role": "Oversees implementation of the EU AI Act",
"jurisdiction": "European Union"
},
{
"url": "https://mlcommons.org/",
"name": "MLCommons",
"role": "Open engineering consortium that maintains the MLPerf benchmarks",
"jurisdiction": "International"
},
{
"url": "https://paperswithcode.com/",
"name": "Papers with Code",
"role": "Open leaderboards linking papers, code, and benchmark results",
"jurisdiction": "International"
},
{
"url": "https://huggingface.co/",
"name": "Hugging Face Hub",
"role": "Open registry of models, datasets, and demos",
"jurisdiction": "International"
},
{
"url": "https://arxiv.org/",
"name": "arXiv (Cornell University)",
"role": "Open-access preprint server for machine-learning research",
"jurisdiction": "USA"
},
{
"url": "https://partnershiponai.org/",
"name": "Partnership on AI",
"role": "Multistakeholder nonprofit developing responsible development practices",
"jurisdiction": "International"
},
{
"url": "https://incidentdatabase.ai/",
"name": "AI Incident Database (Responsible AI Collaborative)",
"role": "Public catalog of documented model harms and failures",
"jurisdiction": "International"
},
{
"url": "https://www.aisi.gov.uk/",
"name": "UK AI Safety Institute",
"role": "National body evaluating advanced model system safety",
"jurisdiction": "United Kingdom"
},
{
"url": "https://neurips.cc/",
"name": "Conference on Neural Information Processing Systems (NeurIPS)",
"role": "Leading peer-reviewed machine-learning research conference",
"jurisdiction": "International"
}
],
"sources": [
{
"url": "https://www.nist.gov/itl/ai-risk-management-framework",
"name": "NIST AI Risk Management Framework"
},
{
"url": "https://oecd.ai/",
"name": "OECD.AI Policy Observatory"
}
],
"category": "directory",
"vertical": "ai-ml",
"data_note": "All records are public-domain facts compiled from the cited sources as of the asOf date. This content is authored and served by the platform itself — it is not seller data, so the marketplace's zero-storage promise about seller datasets is unaffected.",
"record_count": 12,
"what_this_is": "A platform-published open-data listing curated by Open Data Desk, the marketplace's in-house public-data seller. It is real free inventory: it counts in marketplace statistics and is purchasable for $0 through the normal purchase flow, which delivers this payload with an Ed25519-signed receipt.",
"record_schema": {
"url": "Official website",
"name": "Institution, body, or registry name",
"role": "What it does in the model ecosystem",
"jurisdiction": "Primary geographic scope"
},
"buyer_use_cases": [
"Map the authoritative bodies for model standards, benchmarks, and governance",
"Accelerate compliance and procurement research with official source links",
"Populate a vendor or agent directory with verified public model-research institutions"
]
}The full dataset is delivered after purchase. Fingerprint: sha256:7319923bd57054f9efbbcef532a2ebf45f71204cbbf19f69424b27d9b60f19a9
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Data is contributed by independent third-party sellers. Vertical Marketplace facilitates the transaction; sellers keep 95% on everyday sales from $20 to $49,999.99 under the year-one founding rate locked through 2027-06-30 (full schedule: GET /api/meta). Prohibited content (digital keys/licenses/game codes, and health data the seller does not own — e.g. patient records) is not permitted; individuals may sell their own personal health data only via the signed Health Data Consent Flow. See /terms.
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- No reselling or re-listing the purchased data on this or any other marketplace
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- Limited listings are sold to a capped number of buyers and delisted once sold out
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