Element Data curates and normalizes AACT, NPPES, CMS, GDELT, SEC filings, World Bank indicators and 25 more public and government datasets, then delivers them as native Snowflake shares. There is no pipeline to build, no schema drift to chase, and no ETL to maintain. You get a table you can query the day access is granted.
Every dataset on this site is free to download from a government or public source. The cost lands somewhere else. An engineer pulls the file, writes the parser, resolves the inconsistent entity names, loads it, then maintains all of that every time the publisher changes a column. Analysis waits behind that work, and the work never finishes.
Entity names resolved, types enforced, schema held stable across refreshes.
Every listing states its refresh cadence, from hourly to static. Cadence is a column in the catalog because it is what teams actually buy on.
A Snowflake share is not a connector, a feed or an ingestion job. There is no infrastructure on your side.
Every enterprise data team faces the same two challenges: getting clean external data in and turning proprietary data into revenue. Element Data handles both, without you building or maintaining anything.
Pull normalized public and proprietary datasets directly into Snowflake, ready to query. No scraping, no schema drift, no ingestion pipeline to maintain.
Package your existing data assets into products and sell them through the Snowflake Marketplace, or layer analytics on top and sell insights directly.
Every dataset ships as a live Snowflake share, refreshed on a fixed cadence, discoverable by any buyer already on the platform.
Raw ClinicalTrials.gov data resists analysis in the ways that matter most. Sponsor names differ across records for the same company. Statuses and phases come through inconsistently. Nested result structures need flattening before a single query runs.
Pharma and biotech teams doing pipeline benchmarking, therapeutic area mapping or trial landscape work spend weeks on that before the first real question gets asked.
Element Data’s AACT share arrives with sponsors resolved, statuses normalized and structures flattened, in Snowflake.
Stale NPI records break provider matching, credentialing workflows, patient routing and every analytic built on top of them.
Most teams either maintain a manual monthly ingestion from CMS or pay a vendor whose data drifts between updates.
Element Data applies the same normalization discipline to NPPES that built AACT’s credibility, and refreshes it monthly.
Data delivered, wherever it needs to go.
No connector, no feed, no ingestion job to stand up. A Snowflake share lands directly in your account with the schema already held stable, so the first query runs the same day access is granted, not after a sprint of pipeline work.
The names are already reconciled.
Government files list the same company, drug, or institution under a dozen inconsistent spellings across a dozen source files. Element Data resolves those variants to a single canonical entity before the data ever reaches your warehouse, so a join against AACT or NPPES returns matches on the first attempt instead of a fuzzy-matching project.
AACT, NPPES, CMS, GDELT, SEC, World Bank, and more
The catalog spans clinical trials, provider registries, federal spending, global events data, corporate filings, and economic indicators, all normalized to the same standard. Each dataset is queryable on its own or joined against the others inside the same Snowflake environment, without a separate ingestion step for each source.
Cadence is a column in the catalog
Some sources update hourly, some weekly, some are effectively static. Every listing states its refresh cadence up front, so a team can build against a dataset knowing exactly when it changes instead of discovering the update schedule by watching for broken queries.
Entitlements, not exports.
Access runs through Snowflake’s native sharing model, so nothing is copied, downloaded, or piped through a third-party service to reach you. Governance and entitlements are enforced at the platform level, and access can be revoked the same way it was granted, without chasing down a file that already left the building.
Pipeline benchmarking, trial landscape mapping and therapeutic area analysis, without the ClinicalTrials.gov normalization work sitting in front of it.
Provider matching, credentialing, network analytics and utilization analysis on NPI data that refreshes monthly instead of drifting.
Healthcare and life sciences datasets ready to demo, in the environment your prospect already runs. Nothing to install, nothing to stage.
Event data, filings and macro series delivered as query-ready tables, so nobody on a two-person research desk maintains a scraper.
The share lands in the account you already run. Nothing to migrate, nothing to stand up alongside it.
Some vendors sell you a pipe and you operate it. You get a table that is already correct, with no source to configure and no job to babysit.
The catalog is built around the datasets pharma, provider and payer teams actually buy, normalized by people who know what breaks in them.
Element Data does not replace the analysis platforms your team already licenses. It is the clean, current data those workflows run on.
A pre-configured data stack to run your cloud warehouse and generate insights from internal data — plus engineering resources to optimize it.
Simplified access to public data assets via Snowflake Marketplace, and set-up of pipelines for commercial third-party data — without the upkeep.
We assess your assets, clean and package them for sale with privacy compliance, and use data marketplaces to generate leads and close revenue for you.
Building pipelines to access datasets is costly and slow. We give you an efficient, transparent, and trustworthy platform to access and monetize data through the marketplaces you already trust.
Datasets arrive already resolved, typed, and schema-stable. There’s no raw file to interpret and no mapping exercise before the first query runs.
Access comes through a native share inside the environment your team already works in. Nothing new to provision, connect, or maintain on your side.
Building pipelines to access datasets is costly and slow. We give you an efficient, transparent, and trustworthy platform to access and monetize data through the marketplaces you already trust.
Pipelines for you to maintain
Marketplace to source & sell — Snowflake
Industries served, healthcare to
climate
Privacy-compliant by design
Cut research and pipeline overhead across the business.
Streamline planning to maximize the value delivered to customers.
Share data seamlessly across internal and external stakeholders.
Element Data is a platform that delivers normalized public and proprietary datasets directly into your Snowflake environment as live shares. Sourcing, cleaning, and schema work are handled before the data reaches you, so your team queries it the day access is granted.
A Snowflake share is a native mechanism for granting another Snowflake account direct, live access to a dataset, without exporting files, running a connector, or copying data across systems. Access and revocation both happen at the platform level.
The catalog spans over 30 public and government datasets across clinical and life sciences, provider and payer, event and environmental, financial and regulatory, demographic, and global development verticals, including AACT, NPPES, CMS, GDELT, SEC filings, and World Bank indicators.
Refresh cadence is listed per dataset in the catalog and ranges from real-time to static, depending on the source. You can see the exact schedule before requesting access, rather than assuming a “monthly” source actually updates monthly.
Data normalization is the process of standardizing inconsistent field formats, resolving duplicate or variant entity names, and enforcing consistent data types across a dataset, so records can be joined and queried reliably without manual cleanup.
Yes. Alongside catalog access, Element Data helps structure your proprietary data into a product and publish it through the Snowflake Marketplace, either sold directly or layered with embedded analytics.
Every listing is checked against its source’s licensing and redistribution terms before publication, so your team can use the data without routing a separate legal review for each dataset.
The Snowflake Marketplace is a data exchange built into Snowflake where organizations can discover, request, and receive datasets as live shares, without moving data outside the platform or managing separate procurement and integration steps for each source.
