BioTrials Clinical Catalyst — Base: Global Clinical Trials → Pharma Intelligence | 559K Trials — 1,515 Ticker-Mapped Sponsors (2000–2025)

BioTrials Base — Clinical Trials Intelligence Spine (1999–2025) One sentence BioTrials Base is a clean, ML-friendly clinical trials spine built around ClinicalTrials.gov trial records and normalized sponsor entities, so you can search, filter, and join trial activity to sponsor entities (and to public-company tickers where available) without spending months on entity resolution. What problem this solves ClinicalTrials.gov is rich but messy: sponsor names are inconsistent, trial status and phase histories can be non-uniform, and it can be hard to join trial activity to company and market datasets. BioTrials Base turns that into a stable foundation for biotech analytics, healthcare intelligence, and machine learning feature engineering. What you get (deliverables) Core files (as documented) - trials_master.parquet Scale: 558,973 clinical trials Key fields include NCT ID (nct_id), phase, status, key dates, and lead sponsor - sponsor_entities.parquet Scale: 48,112 sponsor entities Includes normalized sponsor names and ticker mappings where available Join surfaces - Primary key: nct_id - Sponsor join: lead sponsor and the normalized sponsor entity fields - Optional ticker surface: ticker (when available) Coverage and structure - Coverage window (as documented in product materials): 1999–2025 - Grain: one row per trial in trials_master, plus sponsor entity rows - Format: Parquet for fast analytics across DuckDB, Polars, Pandas, Spark, and warehouse external tables Who it’s for - Bi