AIM Research

The world's clinical research sites, in one place. Free.

142,889 sites across 241 countries, aggregated from 14 public trial registries and enrichment datasets. Open data, transparent methodology, free API — from the American Institute for Medical Research.

142,889Sites
241Countries
14Source Registries
93%Mapped
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What this is

A unified, free database of clinical research sites — the places where clinical trials are actually run — built for pharma business development teams, CROs, academic researchers, health-policy analysts, and anyone who needs to know who's running what, where.

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Multi-registry aggregation

Sites from 14 trial registries are deduplicated and merged — not just U.S. CT.gov, but India's CTRI, Europe's EU CTIS and ISRCTN, Asia's ChiCTR / JPRN / KCT, and more.

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Quality tiers, published formula

Every site gets an A/B/C/D insight quality tier based on trial volume, recency, TA diversity, contact completeness, investigator depth, and data quality. Methodology is public.

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Filter by what actually matters

Therapeutic area, country, tier, facility type, network, regulator, active status. Multi-select TA. Works on both map and table views.

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Free read-only API

JSON over HTTP, no authentication, 60 req/min rate limit. Read the docs →

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Downloadable

Filtered results exportable as CSV. No account required.

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Transparent & auditable

Every data point carries its source registry. Additive integration model — new sources never overwrite existing verified data.

How the data is built

Source registries

ClinicalTrials.gov CTRI (India) ISRCTN ANZCTR EU CTIS PACTR IRCT DRKS JPRN ChiCTR KCT ReBEC External

Enrichment layers

NPPES (U.S.) CMS FDA Inspections OpenStreetMap GeoNames

Pipeline

1. Registry scrape. Each national registry pulled via its public API or ICTRP aggregation, kept as a per-registry source file.

2. Multi-phase deduplication. Multiline cleanup, internal-source dedup, cross-registry match (name + city + country + coordinate clustering), and merge. Reduced ~166K raw to ~143K distinct sites.

3. Condition/TA enrichment. Title keyword extraction across 17 TA categories for registries that don't expose structured condition data.

4. Geocoding. Nominatim + Photon (Komoot) for building-level, city-centroid fallback. 93% mapped.

5. Quality scoring. Six-component weighted formula (trial volume 30%, recent activity 20%, condition diversity 15%, contact quality 15%, investigators 10%, data completeness 10%) → A/B/C/D tier.

6. Cross-source validation. External supplementary datasets add a second independent trial-count signal and catch sites we'd otherwise miss. Additive only — never overwrites.

Update cadence: monthly for each registry; continuous for derived enrichments. Every change is logged for reversibility.

How we compare

There are commercial site directories with glossier UIs and sales teams. Most charge six-figure annual fees and lock the data behind a contract. Here's the honest picture:

Feature AIMR (this) Commercial directories
Total sites ~143K typically 80K–200K
Countries covered 241 varies
Multi-registry (beyond CT.gov) Yes — 14 sources Varies
Indian CTRI coverage ~38K sites Varies
Cost Free ~$100K–$500K/yr
Open API Yes, no auth Contract-gated
Methodology transparency Published Proprietary
CSV export Free Gated
Ranking signal Multi-factor tier + score Proprietary

Who uses it

Pharma BD teams

Shortlist sites by indication, geography, trial history, and regulatory jurisdiction. Export CSV for CRM import.

CROs & Site ID ops

Programmatic access via JSON API, country+TA filters, cross-source validation for feasibility work.

Academic researchers

Citable, methodologically transparent dataset for clinical-trial ecosystem analysis.

Health-policy analysts

Country-level regulator metadata, registry source tracking, regional distribution.

Open access, no sign-up

Explore the interactive map, query the API, or download a CSV. Reach out if you need richer fields, a data partnership, or to report issues.

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