Dataset schema markup enables your data to appear in Google Dataset Search — a specialized search tool for finding datasets. Scientists, researchers, journalists, and developers use Google Dataset Search to find public data. Valid Dataset structured data requires a name and description, with distribution details that help users access the actual data files.
| Property | Type | Description |
|---|---|---|
namerich result | string | The name of the dataset. |
descriptionrich result | string | A summary describing the dataset's contents, purpose, and methodology. |
Missing recommended properties generate warnings. They won't block validation, but rich result-tagged properties are needed for full Google rich result eligibility.
| Property | Type | Description |
|---|---|---|
url | URL | The URL of the dataset landing page. |
creator | Person or Organization | The creator or author of the dataset. |
license | URL | The license under which the dataset is released. |
keywords | string array | Keywords or tags that describe the dataset. |
distribution | DataDownload array | How to access the dataset files. Each DataDownload should have contentUrl and encodingFormat. |
variableMeasured | string or PropertyValue | The variable(s) measured in the dataset. |
identifier | URL or PropertyValue | A DOI or other identifier for the dataset. |
Rich result type: Dataset listing in Google Dataset Search
Requirements: Required: name and description. distribution with DataDownload objects (contentUrl and encodingFormat) allows direct data access.
{
"@context": "https://schema.org",
"@type": "Dataset",
"name": "Global Structured Data Adoption Survey 2026",
"description": "A survey of 10,000 websites measuring Schema.org structured data adoption rates, type distribution, and rich result eligibility across industries.",
"url": "https://example.com/datasets/structured-data-survey-2026",
"creator": {
"@type": "Organization",
"name": "SchemaCheck Research"
},
"license": "https://creativecommons.org/licenses/by/4.0/",
"keywords": [
"schema.org",
"structured data",
"SEO",
"rich results",
"JSON-LD"
],
"distribution": [
{
"@type": "DataDownload",
"encodingFormat": "text/csv",
"contentUrl": "https://example.com/datasets/structured-data-survey-2026.csv"
},
{
"@type": "DataDownload",
"encodingFormat": "application/json",
"contentUrl": "https://example.com/datasets/structured-data-survey-2026.json"
}
]
}Validate this schema against Google's requirements in one API call:
curl "https://schemacheck.dev/api/v1/validate" \
-H "x-api-key: YOUR_KEY" \
-H "Content-Type: application/json" \
-d '{"jsonld":{"@context":"https://schema.org","@type":"Dataset","name":"Global Structured Data Adoption Survey 2026","description":"A survey of 10,000 websites measuring Schema.org structured data adoption rates, type distribution, and rich result eligibility across industries.","url":"https://example.com/datasets/structured-data-survey-2026","creator":{"@type":"Organization","name":"SchemaCheck Research"},"license":"https://creativecommons.org/licenses/by/4.0/","keywords":["schema.org","structured data","SEO","rich results","JSON-LD"],"distribution":[{"@type":"DataDownload","encodingFormat":"text/csv","contentUrl":"https://example.com/datasets/structured-data-survey-2026.csv"},{"@type":"DataDownload","encodingFormat":"application/json","contentUrl":"https://example.com/datasets/structured-data-survey-2026.json"}]}}'100 free validations/month. No credit card required.