Element Data

Element Data — Curated, cross-registry clinical-trials warehouse tables delivered as a live Snowflake data share: trial registrations (protocols, phases, conditions, interventions, endpoints, eligibility) deduplicated across registries and mapped to standard vocabularies; resolved sponsor and collaborator entities rolling competitive pipelines up by company; site and investigator records with geography; planned-versus-actual enrollment with start/completion dates and status changes tracked over time; reported results with primary/secondary outcome measures and publication linkages. Custom the…

Element Data offers (Alternative, Fundamental, Reference) — Global registry coverage across multiple registries, deduplicated into relational tables covering registrations, sponsors, sites/investigators, enrollment/timelines and results. The page's volume counters render uninitialised in the captured content (shown as '0 K+ registered trials' and '0+ registries'), so no reliable row count is available; by analogy to the cross-registry universe it normalises, expect order 500K-1M trial records plus tens of thousands of resolved sponsor and site entities. Companion SKUs observed on the same account extend the catalogue into healthcare compliance and reference sets (OIG LEIE, SAM.gov exclusions plus aggregated 43-state Medicaid exclusions, CMS Medicare Advantage enrollment, Star Ratings, plan benefits and crosswalk, CMS Hospital Care Compare, RxNorm, LOINC).

Trial feasibility benchmarking (enrollment rates, durations, site density before protocol commitment); competitive-intelligence monitoring of competitor pipelines, phase transitions and trial starts by indication in near real time; site and country selection from historical trial footprints; therapeutic-area market sizing for licensing, investment and partnering decisions; in-warehouse joins of trial data onto internal commercial, medical-affairs or CRM data; and, for quant buyers, the change-event history as a point-in-time feature source for pipeline-momentum and catalyst models. Also serves as an ML feature layer because the tables arrive schema-stable.

Coverage spans US, UK, Europe; Application Software, Health Care Technology; alternative, fundamental, reference; equities.