{
  "_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

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