YES, IT'S VERMARCABLE
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.
{
"_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
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
Bring your own agent: open HTTP API + MCP, any compatible runtime. Compatibility and vendor independence.