To ensure the Research Hub collects the highest quality data possible, the All of Us Research Program employs the following comprehensive data methodology to curate data for registered and approved researchers. Read more about the program protocol.

Data Curation Process






Data Sources

Beyond recruiting a diverse participant community, the All of Us Research Program collects data from a wide variety of sources including: surveys, electronic health records (EHR), biosamples, physical measurements, and mobile health devices.

Data Harmonization

The All of Us Research Program uses the Observational Medical Outcomes Partnership (OMOP) Common Data Model to ensure EHR data is standardized for all researchers.

Data Refinements

After harmonizing the data to meet the specifications of the OMOP Common Data Model, we process the data to ensure participant privacy is protected.

Curated Data Repository

All of Us Research Program data in its final format, post-harmonization and refinement, is known as the Curated Data Repository (CDR). Two separate Curated Data Repositories are available:

The Public Tier CDR data may be accessed through the interactive Data Browser application. Registered Tier CDR data is accessible to approved researchers in the Workbench. Registered Tier data includes data from electronic health records, survey answers, and physical measurements taken at the time of participant enrollment. The individual-level data can be used for analysis within the Workbench.

The Public Tier CDR data may be accessed through the interactive Data Browser application. Registered Tier CDR data will become available for access to approved researchers in the Workbench this Winter.

Data Dictionary

The All of Us Data Dictionary documents what data is available from participants and what modifications the program makes to protect participant privacy. It provides a description for each data field, noting whether it is a standard OMOP field or a custom field created to help capture data unique to the program. The Data Dictionary also provides information on whether the data in each field comes from participant health records or from information the participants provide themselves, like survey data.

Check out the Data Dictionary here.

OMOP Common Data Model

The OMOP CDM is maintained by an international collaboration called the Observational Health Data Sciences and Informatics (OHDSI) program. The Data and Research Center leverages the OMOP CDM to empower researchers by using existing, standardized vocabularies and a harmonized data representation. These factors enable connection to other ontologies, data sets, and tools that use the same codes or data model. Learn more about OHDSI’s OMOP CDM initiative here.

As a researcher, here’s what you should know about OMOP

OMOP is a relational database. A relational database is a set of formally described tables with defined relationships from which data can be accessed and connected in many different ways without having to rebuild the original database tables. For researchers, it may be helpful to get familiar with the CDR’s OMOP tables.

OMOP is standardized. Standard vocabularies mean that, in spite of the differing ways each data element may be captured (e.g. variation among the many electronic health records), all of the data is brought together in a consistent representation. For each broad category of data, termed “domains,” OMOP incorporates important existing vocabularies so that everyone can “speak the same language” about the data.

OMOP is where metadata rules. The use of these vocabularies and “concept IDs” allows flexibility in extracting data. Instead of just the original data, which is frequently incompatible sets of letters and/or numbers, OMOP provides concept IDs, which ensure one retrieves what one has requested. The vocabulary tables are available to provide the names and relationships among these different representations.

Resources can help. Don’t know what the standardized vocabulary is for your search term? Check out Athena, a platform that maps OMOP standardized vocabularies to other non-standard vocabularies. Want to take a deep dive into OMOP? Discover more on their Github Wiki.

Which OMOP Tables does the Curated Data Repository use?

The All of Us dataset is comprised, in part, of EHR data derived from the following 14 OMOP tables:


Contains basic demographic information describing a person including biological sex, birth date, race, and ethnicity.


Visits capture encounters with health care providers or similar events. Contains the type of visit a person has (outpatient care, inpatient confinement, emergency room, or long-term care), as well as date and duration information. Rows in other tables can reference this table, e.g. Condition Occurrences related to a specific visit.


Conditions are records of a person indicating the presence of a disease or medical condition stated as a diagnosis, a sign, or a symptom, which is either observed by a Provider or reported by the patient.


Captures records about the utilization of a medication. Drug exposures include prescription and over-the-counter medicines, vaccines, and large-molecule biologic therapies. Radiological devices ingested or applied locally do not count as drugs. Drug exposure is inferred from clinical events associated with orders, prescriptions written, pharmacy dispensings, procedural administrations, and other patient-reported information.


Contains both orders and results of a systematic and standardized examination or testing of a person or person’s sample, including laboratory tests, vital signs, quantitative findings from pathology reports, etc.


Contains records of activities or processes ordered by, or carried out by, a health care provider on the patient to have a diagnostic or therapeutic purpose.


Captures clinical facts about a person obtained in the context of examination, questioning or a procedure. Any data that cannot be represented by any other domains, such as social and lifestyle facts, medical history, family history, etc. are recorded here.


Represents a generic way to capture physical location or address information of person and care sites.


Captures information about a person’s exposure to a foreign physical object or instrument which is used for diagnostic or therapeutic purposes. Devices include implantable objects (e.g. pacemakers, stents, artificial joints), blood transfusions, medical equipment and supplies (e.g. bandages, crutches, syringes), other instruments used in medical procedures (e.g. sutures, defibrillators) and material used in clinical care (e.g. adhesives, body material, dental material, surgical material).


Contains the clinical events surrounding how and when a person dies.


Contains a list of uniquely identified institutional (physical or organizational) units where health care delivery is practiced (offices, wards, hospitals, clinics, etc.)


Contains records about the relationships between facts stored as records in any table of the CDM. Relationships can be defined between facts from the same domain, or different domains. Examples of Fact Relationships include: person relationships (parent-child), care site relationships (hierarchical organizational structure of facilities within a health system), etc.


Contains the records identifying biological samples from a person.

> Visit the OMOP wiki page for more detailed information