Data catalog

Clinical trials by condition and location

National Library of Medicine (ClinicalTrials.gov)

Publisher site
research
entity

In a RepVector build, this dataset supplies published studies, trials and evidence relevant to a market.

What this dataset is

Registered clinical studies matching a medical condition or intervention term, with status, phase, sponsor and the locations recruiting or running them. Filterable to studies with a site in a given state — signals where clinical research activity and specialised care capacity for a condition are concentrated. It is published by National Library of Medicine (ClinicalTrials.gov) and can be queried at state and nation level, refreshed updated continuously. Each row is an individual entity — an organisation, site or practitioner — so results can be filtered, routed and turned directly into a call list.

Why it is useful

  • Identifies institutions with active research programmes worth a specialised approach.
  • Backs clinical claims with citable published work rather than marketing copy.

Questions it helps answer

  • Which organisations here run relevant trials or research?
  • What published evidence supports the conversation I want to have?

How different verticals use it

RepVector is vertical-agnostic: this dataset is selected by what your question asks for, not by industry. These are common ways teams put it to work.

Healthcare & life sciences

Finds investigators, trials and publication activity worth a scientific call.

Technology & software

Spots emerging methods and the institutions funding them.

Education & workforce

Measures research intensity at institutions in the territory.

Manufacturing & industrial

Tracks applied research relevant to product development.

How RepVector uses it

  1. You describe a market in plain language. The geography resolver turns the place you named into the exact identifiers this dataset needs — city to county to state, plus DMA where relevant — so a query at state runs without you knowing any codes.
  2. The planner selects Clinical trials by condition and location only when your question matches what it actually reports. It is never included to pad a result.
  3. Returned rows are normalised into the shared metric layer, so figures from National Library of Medicine (ClinicalTrials.gov) line up with every other source in the same dashboard instead of sitting in an isolated table.
  4. Quality checks score coverage and recency. If National Library of Medicine (ClinicalTrials.gov) suppresses or omits a value for your geography, the gap is reported as a gap — nothing is estimated or filled in.
  5. The result renders as charts, KPIs and, where the rows are entities, prioritised targets you can export to PDF, Excel, CSV or JSON.

What it does not tell you

  • Publication and registration lag real activity, and coverage skews to larger institutions.
At a glance
How this dataset can be queried and how current it stays.
Publisher
National Library of Medicine (ClinicalTrials.gov)
Geographic grain
state
nation
Refresh cadence
Updated continuously
Row represents
entity
Topics
clinical trials
research studies
medical research
condition
intervention
drug trials
sponsor
recruiting
trial sites
biomedical research
phase
Available fields
Field names for this dataset are published when it is first queried; the publisher's documentation lists the full schema.

How it fits with the rest of the catalog

Research activity marks sophisticated accounts; registries tell you who inside them to approach. RepVector queries every selected dataset against the same resolved geography and time window, then normalises the results into one metric layer so they can be charted side by side. These datasets are the most common companions to Clinical trials by condition and location:

Browse all datasets

Common questions

What does Clinical trials by condition and location contain?

Registered clinical studies matching a medical condition or intervention term, with status, phase, sponsor and the locations recruiting or running them. Filterable to studies with a site in a given state — signals where clinical research activity and specialised care capacity for a condition are concentrated. It is published by National Library of Medicine (ClinicalTrials.gov) at state and nation grain.

How often is it refreshed?

National Library of Medicine (ClinicalTrials.gov) publishes on a updated continuously cycle. RepVector re-reads the source on that cadence and keeps every prior capture, so you can see what changed.

Do I need an account to use it?

No. Browsing the catalog and the free lookup tools needs no account. Running a full market build across every county in a territory is the paid product.

Put Clinical trials by condition and location to work in your market
Describe the market and the customer you want in plain language. RepVector resolves the geography, selects the datasets that actually answer it — including this one when it fits — and builds the dashboard, targets and exports.

Build the list for one county and see whether the names are right.

Ask in plain language. RepVector finds the universe, enriches each target from its own website, scores it 0–100, and hands you a ranked call list with phones, addresses and named contacts.

Build a target list free

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