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Research & Datasets DatasetPlatform-seededFree

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Research & Datasets: Metadata, Statistics & Provenance Glossary

A plain-language glossary of research-data terminology — DOI, ORCID, FAIR, metadata, p-value, reproducibility and provenance — aligned to public standards from DataCite, ORCID and the W3C. This free platform-curated dataset helps researchers, data managers and students speak precisely about open, structured datasets.

0 sold 315 views7/14/2026
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{
  "_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": [
    {
      "term": "DOI",
      "domain": "Identifiers",
      "standard": "ISO 26324",
      "definition": "Persistent identifier for a digital object"
    },
    {
      "term": "ORCID",
      "domain": "Identifiers",
      "standard": "ORCID",
      "definition": "Persistent unique identifier for a researcher"
    },
    {
      "term": "FAIR",
      "domain": "Data management",
      "standard": "FAIR (2016)",
      "definition": "Principles for Findable, Accessible, Interoperable and Reusable data"
    },
    {
      "term": "Metadata",
      "domain": "Metadata",
      "standard": "Dublin Core",
      "definition": "Structured information describing a dataset or resource"
    },
    {
      "term": "p-value",
      "domain": "Statistics",
      "standard": "NHST",
      "definition": "Probability of results at least as extreme under the null hypothesis"
    },
    {
      "term": "Confidence interval",
      "domain": "Statistics",
      "standard": "Frequentist",
      "definition": "Range of plausible values for an estimated parameter"
    },
    {
      "term": "Effect size",
      "domain": "Statistics",
      "standard": "Cohen's d",
      "definition": "Standardized magnitude of a phenomenon or difference"
    },
    {
      "term": "Reproducibility",
      "domain": "Methodology",
      "standard": "—",
      "definition": "Obtaining the same results using the same data and methods"
    },
    {
      "term": "Replicability",
      "domain": "Methodology",
      "standard": "—",
      "definition": "Obtaining consistent results with new, independent data"
    },
    {
      "term": "Open access",
      "domain": "Publishing",
      "standard": "—",
      "definition": "Free, unrestricted online access to research outputs"
    },
    {
      "term": "Preprint",
      "domain": "Publishing",
      "standard": "—",
      "definition": "Manuscript shared publicly before peer review"
    },
    {
      "term": "Controlled vocabulary",
      "domain": "Metadata",
      "standard": "SKOS",
      "definition": "Standardized set of terms for consistent indexing"
    },
    {
      "term": "Provenance",
      "domain": "Data management",
      "standard": "W3C PROV",
      "definition": "Documented origin and processing history of data"
    }
  ],
  "sources": [
    {
      "url": "https://www.go-fair.org/fair-principles/",
      "name": "GO FAIR: FAIR Principles"
    },
    {
      "url": "https://www.w3.org/TR/prov-dm/",
      "name": "W3C PROV Data Model"
    }
  ],
  "category": "glossary",
  "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": 13,
  "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": {
    "term": "The research or data term",
    "domain": "Area of research practice",
    "standard": "Related standard or framework",
    "definition": "Plain-language definition"
  },
  "buyer_use_cases": [
    "Standardize data-management vocabulary across a research organization",
    "Onboard students and analysts with vetted definitions of key terms"
  ]
}

The full dataset is delivered after purchase. Fingerprint: sha256:9b172fb82bfbc40a657b0fd2d710473642cb646853d444c5917dd1acbcf37bbb

Questions & answers

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License — Vertical Marketplace Data License v1

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.

Permitted
  • Use the purchased data for your own commercial and non-commercial work
  • Create derivative analyses, models, and works from the data
Restricted
  • No reselling or re-listing the purchased data on this or any other marketplace
  • No redistributing the raw dataset 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
Price
FREE

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