YES, IT'S VERMARCABLE
Research & Datasets: Statistical Significance & FAIR Benchmarks
Free, platform-curated benchmarks for research-data practice — conventional p-value and confidence thresholds, Cohen's effect-size conventions, statistical power targets and the FAIR principles — sourced from public methodological literature and DataCite/ORCID standards. Helps analysts, data stewards and reviewers apply consistent, well-established norms to structured datasets.
{
"_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=research-data"
},
"records": [
{
"unit": "alpha (p-value)",
"value": "0.05",
"metric": "Conventional significance threshold",
"standard": "NHST convention",
"definition": "Common cutoff for declaring statistical significance"
},
{
"unit": "percent",
"value": "95",
"metric": "Common confidence level",
"standard": "NHST convention",
"definition": "Typical confidence level for interval estimates"
},
{
"unit": "p-value",
"value": "5e-8",
"metric": "Genome-wide significance",
"standard": "GWAS convention",
"definition": "Multiple-testing threshold for genome-wide association studies"
},
{
"unit": "standardized units",
"value": "0.2",
"metric": "Cohen's small effect (d)",
"standard": "Cohen (1988)",
"definition": "Conventional small standardized mean difference"
},
{
"unit": "standardized units",
"value": "0.5",
"metric": "Cohen's medium effect (d)",
"standard": "Cohen (1988)",
"definition": "Conventional medium standardized mean difference"
},
{
"unit": "standardized units",
"value": "0.8",
"metric": "Cohen's large effect (d)",
"standard": "Cohen (1988)",
"definition": "Conventional large standardized mean difference"
},
{
"unit": "probability",
"value": "0.80",
"metric": "Common statistical power target",
"standard": "NHST convention",
"definition": "Typical minimum power to detect a true effect"
},
{
"unit": "principles",
"value": "4",
"metric": "FAIR principles count",
"standard": "FAIR (2016)",
"definition": "Findable, Accessible, Interoperable and Reusable"
},
{
"unit": "digits",
"value": "16",
"metric": "ORCID iD length",
"standard": "ORCID",
"definition": "Number of digits in an ORCID researcher identifier"
},
{
"unit": "prefix",
"value": "10.",
"metric": "DOI prefix format",
"standard": "ISO 26324",
"definition": "All DOIs begin with the directory indicator 10."
},
{
"unit": "coefficient",
"value": "-1 to 1",
"metric": "Correlation coefficient range",
"standard": "Pearson r",
"definition": "Bounds of a Pearson correlation coefficient"
},
{
"unit": "z-score",
"value": "1.96",
"metric": "z-score for 95% CI",
"standard": "Standard normal",
"definition": "Critical value for a two-sided 95% confidence interval"
}
],
"sources": [
{
"url": "https://www.go-fair.org/fair-principles/",
"name": "GO FAIR: FAIR Principles"
},
{
"url": "https://www.doi.org/the-identifier/resources/handbook/",
"name": "DOI Handbook (ISO 26324)"
},
{
"url": "https://info.orcid.org/ufaqs/what-is-the-structure-of-the-orcid-id/",
"name": "ORCID: Structure of the ORCID iD"
}
],
"category": "benchmarks",
"vertical": "research-data",
"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": {
"unit": "Unit or measure the value is expressed in",
"value": "The conventional value or threshold",
"metric": "Name of the research or statistical benchmark",
"standard": "Convention or standard the value comes from",
"definition": "Plain-language meaning of the benchmark"
},
"buyer_use_cases": [
"Set consistent significance and power thresholds in analysis pipelines",
"Train reviewers on established statistical conventions",
"Validate metadata against FAIR and persistent-identifier standards"
]
}The full dataset is delivered after purchase. Fingerprint: sha256:4d60a18e23d8356328f31a411412700ccd0ecc65436fd28bb0011dd0e8591706
No answered questions yet — ask the seller anything about this listing.
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.
- Use the purchased data for your own commercial and non-commercial work
- Create derivative analyses, models, and works from the data
- No reselling or re-listing the purchased data on this or any other marketplace
- No redistributing the raw data payload as-is to third parties
- Exclusive listings are sold to a single buyer and delisted on purchase
- Limited listings are sold to a capped number of buyers and delisted once sold out
Use an existing account (optional)
Use the account that owns your wallet, saved card or purchase. You can also continue as a guest without a key.
For agents — buy by prompt
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