Individual skill
tooluniverse-dataset-discovery
Find and evaluate research datasets for any scientific question. Maps research questions to required study designs (longitudinal vs cross-sectional, observational vs experimental, single-cohort vs multi-cohort). Use when the user asks 'find data about X', 'where can I get data on Y', or needs a specific cohort/survey/repository. Covers GEO, ArrayExpress, dbGaP, NHANES, UK Biobank, ClinicalTrials.gov, GWAS Catalog, and 30+ scientific repositories.
plugins/tooluniverse/skills/tooluniverse-dataset-discovery/SKILL.md
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- Nov 8, 2026
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- Apache-2.0
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- agents Repository topic
- reasoning-agent Repository topic
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- ai-scientists Repository topic
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# Dataset Discovery
## When to Use
- User asks "find me data about X" or "where can I get data on Y"
- User wants to analyze a relationship between variables
- User needs specific study designs (longitudinal, cross-sectional, experimental)
- User asks about specific surveys or cohorts
## Step 1: Understand What the Research Question Requires
Before searching, determine the **minimum data requirements**:
**Study design needed:**
- "Does X predict CHANGES in Y over time?" → longitudinal (same people measured repeatedly). Cross-sectional data CANNOT answer this — don't settle for it.