Dataset Schema: Structured Data for Research Data, Statistics, and Data Catalogs
Dataset schema (@type: Dataset on Schema.org) makes data-publishing pages discoverable in Google Dataset Search and increases AI citation authority for statistical claims. For organizations publishing original research data, survey results, market reports, or any downloadable datasets, Dataset schema is both a discoverability mechanism (Google Dataset Search) and an AEO authority signal: AI systems preferentially cite original data sources over secondary reporting of statistics.
The AEO case for Dataset schema extends beyond specialized research contexts: any business publishing original statistics (consumer surveys, platform usage data, proprietary market sizing) benefits from Dataset schema because it transforms narrative statistical claims into machine-verifiable, downloadable data artifacts - the type of primary source that AI citation systems weight most heavily when selecting references for statistical facts.
For schema context, see Schema Markup Basics and Original Research for AEO.
Dataset Schema JSON-LD - Single Dataset and DataCatalog Examples
Toggle between single Dataset implementation and the DataCatalog pattern for organizations publishing multiple datasets:
{
"@context": "https://schema.org",
"@type": "Dataset",
"name": "Global Voice Search Query Volume Dataset 2020-2026",
"description": "Monthly voice search query volume data by platform, geography, and device type. Includes Google Assistant, Siri, and Alexa query counts with demographic breakdowns.",
"url": "https://example.com/datasets/voice-search-2026",
"sameAs": "https://zenodo.org/record/example",
"identifier": "https://doi.org/10.5281/zenodo.example",
"license": "https://creativecommons.org/licenses/by/4.0/",
"temporalCoverage": "2020-01/2026-03",
"spatialCoverage": "World",
"creator": {
"@type": "Organization",
"name": "AEO Research Institute",
"url": "https://example.com"
},
"distribution": [
{
"@type": "DataDownload",
"name": "CSV Export",
"encodingFormat": "text/csv",
"contentUrl": "https://example.com/datasets/voice-search-2026.csv"
},
{
"@type": "DataDownload",
"name": "JSON Export",
"encodingFormat": "application/json",
"contentUrl": "https://example.com/datasets/voice-search-2026.json"
}
],
"variableMeasured": [
"Daily voice query volume",
"Platform share percentage",
"Device type distribution"
],
"isAccessibleForFree": true
}Dataset Schema - Key Properties Reference
All major Dataset schema properties with required status and implementation guidance:
| Property | Required | Implementation note |
|---|---|---|
| name | Required | The dataset's full title. Should be descriptive and include the topic + time range (e.g., 'Voice Search Query Volume 2020–2026'). |
| description | Required | Min 50 characters. Describe the dataset's content, scope, methodology, and use cases. This text appears in Google Dataset Search results. |
| url | Required | The canonical URL for the dataset's landing page. Must be stable - use DOIs or persistent URLs for academic datasets. |
| identifier | Optional | DOI, ISBN, or other persistent identifier. DOI is strongly recommended for academic and research datasets: 'https://doi.org/10.xxxx/zenodo.example'. |
| license | Optional | URL to the license under which the dataset is released (Creative Commons URL is ideal). Datasets without declared licenses have lower discovery probability in Google Dataset Search. |
| distribution | Optional | Array of DataDownload objects specifying file formats and download URLs. Include CSV, JSON, and any domain-specific formats. Required for download availability to be displayed. |
| temporalCoverage | Optional | ISO 8601 date range for the data's time scope: '2020-01/2026-03'. This enables temporal filtering in Google Dataset Search. |
| creator | Optional | Person or Organization responsible for creating the dataset. Connecting the creator entity to your Organization schema strengthens entity authority for AEO. |
Dataset Schema - 4 AEO Impact Mechanisms
How Dataset schema improves AEO citation authority beyond basic rich result eligibility:
Google Dataset Search indexing
Dataset schema enables your data pages to appear in Google Dataset Search (datasetsearch.research.google.com) - a dedicated search engine for research data. Citations from AI systems frequently reference research data found there.
AI citation authority for statistics
AI systems (Perplexity, Claude, ChatGPT with web search) cite data-backed claims more reliably than narrative assertions. Pages with Dataset schema signal that the statistics cited on that page have authoritative, downloadable backing data.
Journalist and researcher backlinks
Research datasets discovered via Google Dataset Search generate editorial backlinks from journalists and academics who reference the data - building domain authority and publishing entity trust signals that improve overall AEO citation rates.
Featured snippet data cards
Pages with Dataset schema may appear as data-sourced featured snippets for statistical queries. Google treats schema-marked dataset pages as higher-authority sources for statistical facts than narrative-only pages.