Researcher Workbench

Researcher Workbench

The Researcher Workbench is a cloud-based platform where registered researchers can access Registered and Controlled Tier data. Its powerful tools support data analysis and collaboration. Integrated help and educational resources are provided through the Workbench User Support Hub.

Tools

WORKSPACES

Registered researchers use workspaces to access, store, and analyze data for specific research projects. Workspaces are collaborative and can be shared among other registered researchers within a project team.

Organizing research projects, collaboration Workspaces Preview
Notebook

NOTEBOOKS

Researchers with R or Python experience can perform high-powered queries and analysis within the All of Us datasets using our integrated, cloud-based Jupyter Notebook environment.

Analysis, queries Notebooks Preview
Dataset Builder

DATASET BUILDER

The Dataset Builder allows researchers to search and save collections of health information about cohorts, called concept sets. Researchers can search and save concepts from a particular domain and use them in the Dataset Builder.

Pre-populated analysis, dataset previews Dataset Builder Preview
Cohort Builder

COHORT BUILDER

The Cohort Builder is a custom, point-and-click tool that allows researchers to create, review, and annotate groups of participant data, or cohorts, within the All of Us dataset.

Cohort creation Cohort Builder Preview
Support

Workbench User Support Hub

The Workbench User Support Hub contains a variety of resources, such as training materials, that demonstrate how to use our tools and navigate the data within the Researcher Workbench. Community Forums, FAQs, video tutorials, guides, and a designated help desk are available to assist researchers in their Workbench activities.

Learning, support, guides User Support Hub Preview

Workbench FAQ

Is there a cost to use the All of Us genomic data?

There is no cost for researchers to register with the All of Us Research Program and to begin working within the dataset. Researchers will incur costs for computation and data storage, however. The All of Us Research Program provides $300 in initial credits for each registered Researcher Workbench user. Additional charges must be covered by the researcher through their  billing accounts. Resources to help researchers estimate costs are provided within the Researcher Workbench itself, on the User Support Hub. Researchers can find examples of how much genomic data can cost to analyze in the User Support Hub (login required).

How can I access All of Us genomic data?

All of Us genomic data are only available through the Controlled Tier of the Researcher Workbench. 

Currently, only registered researchers whose institutions have Data Use and Registration Agreements in place with All of Us that include the Controlled Tier can access genomic data. Visit the Institutional Agreements page to check your institution’s access. 

If your institution has access, you can follow the steps on our Access page to become an All of Us researcher. If your institution does not have a Data Use and Registration Agreement (DURA) in place with All of Us, or if your institution’s current DURA does not yet allow for Controlled Tier access, you can initiate the process here

How do I access the research data?

Accessing the Researcher Workbench data is easy and takes only a few steps. If you are interested in applying for Researcher Workbench access, please visit the Register page for information on the steps you will need to complete.

What is a cohort?

A cohort is a group of participants whom researchers are interested in studying. Researchers can create cohorts by adding inclusion or exclusion criteria.

Do I need Institutional Review Board (IRB) approval from my own institution in order to access this data through the Researcher Workbench?

Researchers should always check with their local institutional review board to ensure compliance with local requirements for conduct of research. We have provided the template language below as a resource to use for local IRB applications.

The Registered Tier and Controlled Tier data available on the Research Hub contains data from participants who have consented to be involved in the All of Us Research Program, including data from electronic health records (EHRs), surveys, and physical measurements. All data available to researchers has had direct identifiers removed and has been further modified to minimize re-identification risks. This includes removing all explicit identifiers in both EHRs and participant provided information, all free-text fields, geolocation data smaller than U.S. state level, living situations, race and ethnicity subcategories, active duty military status, cause of death, and diagnosis codes subject to public knowledge. Additionally, the following demographic fields are generalized: race and ethnicity, education, employment, and information regarding sex at birth, gender identity, and sexual orientation. Also, all dates are systematically shifted backwards by a random number between 1 and 365, and data from participants over the age of 89 are removed. The All of Us Research Program data will be accessed for research strictly using the Researcher Workbench (researchallofus.org). External data can be brought into this secure environment; however, researchers are restricted from importing any individually identifiable information and from row-level linkage of the external data. Data searches, cohort building, and analysis will solely take place on the Researcher Workbench, a secure cloud-based resource with statistical analysis software available for use with All of Us data. Researchers are granted access to the Researcher Workbench after their affiliated institution signs a Data Use and Registration Agreement, and they create an account, including setting up two-factor authentication, verify their identity using login.gov, complete the All of Us Responsible Conduct of Research training, and sign a Data User Code of Conduct, which prohibits any re-identification of All of Us participants. For more information, please visit researchallofus.org.

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