Research Projects Directory

Research Projects Directory

84 active projects

This information was updated 6/25/2021

Information about each project within the Researcher Workbench is available in the Research Projects Directory below. Approved researchers provide their project’s research purpose, description, populations of interest, and more. This information helps All of Us ensure transparency on the type of research being conducted.

At this time, all listed projects are using data in the Registered Tier. The Registered Tier contains individual-level data from electronic health records, surveys, physical measurements, and wearables. Personal identifiers have been removed from these data to protect participant privacy.

Note: Researcher Workbench users provide information about their research projects independently. Views expressed in the Research Projects Directory belong to the relevant users and do not necessarily represent those of the All of Us Research Program. Information in the Research Projects Directory is also cross-posted on AllofUs.nih.gov in compliance with the 21st Century Cures Act.

Test Workspace 2

Testing

Scientific Questions Being Studied

Testing

Project Purpose(s)

  • Other Purpose (Testing)

Scientific Approaches

Testing

Anticipated Findings

Testing

Demographic Categories of Interest

This study will not center on underrepresented populations.

Research Team

Owner:

T1DM Test

If transplanted islets are housed in crosslinked PEG / Alginate hydrogels, will participants return to normoglycemic levels?

Scientific Questions Being Studied

If transplanted islets are housed in crosslinked PEG / Alginate hydrogels, will participants return to normoglycemic levels?

Project Purpose(s)

  • Disease Focused Research (Type 1 Diabetes Meletus )

Scientific Approaches

- Each group will be read for glycemic levels three times per day, morning, immediately after eating and two hours after eating.
- Glycemic levels will be tested using blood glucose tests.
- After 60 days the islets will be removed and analyzed for growth fouling.

Anticipated Findings

The anticipated findings are the participants with transplanted islets housed in crosslinked PEG / Alginate hydrogels will return to normoglycemic levels and stay at those levels until removal of the islets. The hydrogels will also have minimal to no growth fouling on the surface, hindering islet function. These findings will help advance the treatment to T1DM.

Demographic Categories of Interest

This study will not center on underrepresented populations.

Research Team

Owner:

  • Thomas Rion - Project Personnel, Vanderbilt University Medical Center

yonghao

If you are exploring the data at this stage to formalize a specific research question, please describe the reason for exploring the data, and the scientific question you hope to be able to answer using the data.

Scientific Questions Being Studied

If you are exploring the data at this stage to formalize a specific research question, please describe the reason for exploring the data, and the scientific question you hope to be able to answer using the data.

Project Purpose(s)

  • Population Health
  • Social / Behavioral
  • Ancestry

Scientific Approaches

If you are exploring the data at this stage to formalize a specific research question, please describe the reason for exploring the data, and the scientific question you hope to be able to answer using the data.

Anticipated Findings

If you are exploring the data at this stage to formalize a specific research question, please describe the reason for exploring the data, and the scientific question you hope to be able to answer using the data.

Demographic Categories of Interest

This study will not center on underrepresented populations.

Research Team

Owner:

Data_Dictionary

Its for work. Its for work. Its for work. Its for work. Its for work. Its for work. Its for work. Its for work. Its for work. Its for work. Its for work.

Scientific Questions Being Studied

Its for work. Its for work. Its for work. Its for work. Its for work. Its for work. Its for work. Its for work. Its for work. Its for work. Its for work.

Project Purpose(s)

  • Other Purpose (Its for work. Its for work. Its for work.)

Scientific Approaches

Its for work. Its for work. Its for work. Its for work. Its for work. Its for work. Its for work. Its for work. Its for work. Its for work. Its for work. Its for work. Its for work.

Anticipated Findings

Its for work. Its for work. Its for work. Its for work. Its for work. Its for work. Its for work. Its for work. Its for work. Its for work. Its for work. Its for work. Its for work.

Demographic Categories of Interest

This study will not center on underrepresented populations.

Research Team

Owner:

  • Zahra Rasuli - Project Personnel, Vanderbilt University Medical Center

Collaborators:

  • Brian Freeman

Shimon Test Workspace (v4)

Testing

Scientific Questions Being Studied

Testing

Project Purpose(s)

  • Educational

Scientific Approaches

Testing

Anticipated Findings

None

Demographic Categories of Interest

This study will not center on underrepresented populations.

Research Team

Owner:

Demo of Older Population in AoU

This will be a demo to showcase the large dataset we have containing people 50+ in AoU. This will answer no question.

Scientific Questions Being Studied

This will be a demo to showcase the large dataset we have containing people 50+ in AoU. This will answer no question.

Project Purpose(s)

  • Other Purpose (Data will be used as a demo of the older population in AoU. This will be presented at the National Council On Aging conference; along side Fifty Forward and NHCOA.)

Scientific Approaches

The datasets used will be everyone that is 50+ and is apart of the AoU program. This will just be a basic demonstration of the data.

Anticipated Findings

There are no findings, however the hope for this demonstration is to showcase the power of the researcher workbench.

Demographic Categories of Interest

  • Age

Research Team

Owner:

Test

Testing Workbench

Scientific Questions Being Studied

Testing Workbench

Project Purpose(s)

  • Other Purpose (Testing Workbench)

Scientific Approaches

Testing Workbench

Anticipated Findings

Testing Workbench

Demographic Categories of Interest

This study will not center on underrepresented populations.

Research Team

Owner:

test

this is for tutorial and test. Every friday we need tutorial to show people how to work with the workbench. This tutorial is for these people.

Scientific Questions Being Studied

this is for tutorial and test. Every friday we need tutorial to show people how to work with the workbench. This tutorial is for these people.

Project Purpose(s)

  • Educational

Scientific Approaches

this is for tutorial and test. Every friday we need tutorial to show people how to work with the workbench. This tutorial is for these people.

Anticipated Findings

this is for tutorial and test. Every friday we need tutorial to show people how to work with the workbench. This tutorial is for these people.

Demographic Categories of Interest

This study will not center on underrepresented populations.

Research Team

Owner:

Standing Height in All of Us

Standing height in all of us from EHR and physical measurements. This is being answered to show off the all of us workbench.

Scientific Questions Being Studied

Standing height in all of us from EHR and physical measurements. This is being answered to show off the all of us workbench.

Project Purpose(s)

  • Other Purpose (This data will be used for out reach demo purposes)

Scientific Approaches

EHR and physical measurements will be used for this study.

Anticipated Findings

The findings of this are unimportant as the goal is to demonstrate the versatility and power of the workbench.

Demographic Categories of Interest

This study will not center on underrepresented populations.

Research Team

Owner:

  • Michael Holmes - Project Personnel, Vanderbilt University Medical Center

Collaborators:

  • Melissa Patrick - Project Personnel, Vanderbilt University Medical Center
  • Kelsey Mayo
  • Adrienne Roman - Project Personnel, Vanderbilt University Medical Center

Phenotype - Type 2 Diabetes

The Notebooks in this Workspace can be used to implement well-known phenotype algorithms in one’s own research.

Scientific Questions Being Studied

The Notebooks in this Workspace can be used to implement well-known phenotype algorithms in one’s own research.

Project Purpose(s)

  • Educational
  • Methods Development
  • Other Purpose (This is an All of Us Phenotype Library Workspace created by the Researcher Workbench Support team. It is meant to demonstrate the implementation of key phenotype algorithms within the All of Us Research Program cohort.)

Scientific Approaches

This is not applicable for the stable environment that is meant for QC and test. Any phenotype library in this environment is meant to test the data before it hits production.

Anticipated Findings

By reading and running the Notebooks in this Phenotype Library Workspace, researchers can implement the following phenotype algorithms: Jennifer Pacheco and Will Thompson. Northwestern University. Type 2 Diabetes Mellitus. PheKB; 2012 Available from: https://phekb.org/phenotype/18

Demographic Categories of Interest

This study will not center on underrepresented populations.

Research Team

Owner:

Collaborators:

  • John Carr - Project Personnel, Vanderbilt University Medical Center

Phenotype - Ischemic Heart Disease

The Notebooks in this workspace can be used to implement well-known phenotype algorithms in one’s own research.

Scientific Questions Being Studied

The Notebooks in this workspace can be used to implement well-known phenotype algorithms in one’s own research.

Project Purpose(s)

  • Educational
  • Methods Development
  • Other Purpose (This is an All of Us Phenotype Library Workspace created by the Researcher Workbench Support team. It is meant to demonstrate the implementation of key phenotype algorithms within the All of Us Research Program cohort.)

Scientific Approaches

Not Applicable because this is a phenotype library. This does not have scientific approaches.

Anticipated Findings

By reading and running the Notebooks in this Phenotype Library Workspace, researchers can implement the following phenotype algorithms: Christianne L. Roumie; Jana Shirey-Rice, Sunil Kripalani. Vanderbilt University. MidSouth CDRN - Coronary Heart Disease Algorithm. PheKB; 2014. Available from https://phekb.org/phenotype/234.

Demographic Categories of Interest

This study will not center on underrepresented populations.

Research Team

Owner:

Collaborators:

  • John Carr - Project Personnel, Vanderbilt University Medical Center

Phenotype - Depression

The Notebooks in this Workspace can be used to implement well-known phenotype algorithms in one’s own research.

Scientific Questions Being Studied

The Notebooks in this Workspace can be used to implement well-known phenotype algorithms in one’s own research.

Project Purpose(s)

  • Educational
  • Methods Development
  • Other Purpose (This is an All of Us Phenotype Library Workspace created by the Researcher Workbench Support team. It is meant to demonstrate the implementation of key phenotype algorithms within the All of Us Research Program cohort.)

Scientific Approaches

This is not applicable for a phenotype library at the stable environment. The workspace is meant to be run for QC purposes.

Anticipated Findings

By reading and running the Notebooks in this Phenotype Library Workspace, researchers can implement the following phenotype algorithms: This Workspace contains an implementation of a phenotype algorithm for depression: This algorithm was obtained from the eMERGE network. Citation: TBA. KPWA/UW. Depression. PheKB; 2018 Available from: https://phekb.org/phenotype/1095

Demographic Categories of Interest

This study will not center on underrepresented populations.

Research Team

Owner:

Collaborators:

  • John Carr - Project Personnel, Vanderbilt University Medical Center

Phenotype - Dementia

The Notebooks in this Workspace can be used to implement well-known phenotype algorithms in one’s own research.

Scientific Questions Being Studied

The Notebooks in this Workspace can be used to implement well-known phenotype algorithms in one’s own research.

Project Purpose(s)

  • Educational
  • Methods Development
  • Other Purpose (This is an All of Us Phenotype Library Workspace created by the Researcher Workbench Support team. It is meant to demonstrate the implementation of key phenotype algorithms within the All of Us Research Program cohort.)

Scientific Approaches

This is not applicable for a phenotype library meant to be run internally. This phenotype library is used to QC the data.

Anticipated Findings

By reading and running the Notebooks in this Phenotype Library Workspace, researchers can implement the following phenotype algorithms: Ritchie, M., Denny, J., Crawford, D., Ramirez, A., Weiner, J., … Roden, D. (2010). Robust replication of genotype-phenotype associations across multiple diseases in an electronic medical record. American Journal of Human Genetics. 87(2):310 doi: 10.1016/j.ajhg.2010.03.003

Demographic Categories of Interest

This study will not center on underrepresented populations.

Research Team

Owner:

Collaborators:

  • John Carr - Project Personnel, Vanderbilt University Medical Center

Phenotype - Breast Cancer

The Notebooks in this Workspace can be used to implement well-known phenotype algorithms in one’s own research.

Scientific Questions Being Studied

The Notebooks in this Workspace can be used to implement well-known phenotype algorithms in one’s own research.

Project Purpose(s)

  • Educational
  • Methods Development
  • Other Purpose (This is an All of Us Phenotype Library Workspace created by the Researcher Workbench Support team. It is meant to demonstrate the implementation of key phenotype algorithms within the All of Us Research Program cohort.)

Scientific Approaches

This question is not applicable for a phenotype library. This is meant for an internal study to QC the data. It is not meant for publication.

Anticipated Findings

By reading and running the Notebooks in this Phenotype Library Workspace, researchers can implement the following phenotype algorithms: Ning Shang, George Hripcsak, Chunhua Weng, Wendy K. Chung, & Katherine Crew. Breast Cancer. Retrieved from https://phekb.org/phenotype/breast-cancer.

Demographic Categories of Interest

This study will not center on underrepresented populations.

Research Team

Owner:

Collaborators:

  • John Carr - Project Personnel, Vanderbilt University Medical Center

How To Work With Fitbit Data

We recommend that all researchers explore the notebooks in this workspace to learn the basics of how to work with All of Us Fitbit data. What should you expect? This notebook will show what types of data are available for…

Scientific Questions Being Studied

We recommend that all researchers explore the notebooks in this workspace to learn the basics of how to work with All of Us Fitbit data. What should you expect? This notebook will show what types of data are available for Fitbit, and teach you best practices on how to query them. It will also talk about key summary statistics about each type of data.

Project Purpose(s)

  • Educational
  • Methods Development
  • Other Purpose (This is an All of Us Tutorial Workspace. It is meant to provide instruction for key Researcher Workbench components and All of Us data representation.)

Scientific Approaches

This Tutorial Workspace contains one Jupyter Notebook written in Python. The notebook contains information on how to use All of Us Fitbit data in the workbench and how to extract information from it.

Anticipated Findings

By reading and running the notebook in this Tutorial Workspace, researchers will understand how to work with Fitbit CDR data from the workbench. They will learn how to query information about steps, heart rate, and daily activity summary.

Demographic Categories of Interest

This study will not center on underrepresented populations.

Research Team

Owner:

Collaborators:

  • Kelsey Mayo
  • John Carr - Project Personnel, Vanderbilt University Medical Center
  • Adrienne Roman - Project Personnel, Vanderbilt University Medical Center

How To Work With COPE Survey Data

We recommend that all researchers explore the notebooks in this workspace to learn the basics of how to work with All of Us COPE data. What should you expect? This notebook will show what versions, topics, and questions are available…

Scientific Questions Being Studied

We recommend that all researchers explore the notebooks in this workspace to learn the basics of how to work with All of Us COPE data. What should you expect? This notebook will show what versions, topics, and questions are available for COPE, and teach you best practices on how to query them. It will also talk about key summary statistics about the data.

Project Purpose(s)

  • Educational
  • Methods Development
  • Other Purpose (This is an All of Us Tutorial Workspace. It is meant to provide instruction for key Researcher Workbench components and All of Us data representation.)

Scientific Approaches

This Tutorial Workspace contains one Jupyter Notebook written in Python. The notebook contains information on how to use All of Us COPE data in the workbench to understand how participants lived through the pandemic. COPE survey data has been rolled out in different versions: May, June, July/Aug/Sep. Except from some minor adjustments, versions generally share the same set of questions. This notebook shows how to extract these information.

Anticipated Findings

By reading and running the notebook in this Tutorial Workspace, researchers will understand how to work with COPE survey data from the workbench. They will learn how to query information about how All of Us participants experienced anxiety, stress, physical activity, mood, general well-being, social distancing, etc. during the pandemic.

Demographic Categories of Interest

This study will not center on underrepresented populations.

Research Team

Owner:

Collaborators:

  • John Carr - Project Personnel, Vanderbilt University Medical Center

How to Work with All of Us Survey Data

We recommend that all researchers explore the notebooks in this workspace to learn the basics of All of Us Program Data. What should you expect? By running the notebooks in this workspace, you should get familiar with how to query…

Scientific Questions Being Studied

We recommend that all researchers explore the notebooks in this workspace to learn the basics of All of Us Program Data. What should you expect? By running the notebooks in this workspace, you should get familiar with how to query PPI questions/surveys, what the frequencies of answers for each question in each PPI module are.

Project Purpose(s)

  • Educational
  • Methods Development
  • Other Purpose (This is an All of Us Tutorial Workspace created by the Researcher Workbench Support team. It is meant to provide instruction for key Researcher Workbench components and All of Us data representation. )

Scientific Approaches

We recommend that all researchers explore the notebooks in this workspace to learn the basics of All of Us Program Data. What should you expect? By running the notebooks in this workspace, you should get familiar with how to query PPI questions/surveys, what the frequencies of answers for each question in each PPI module are.

Anticipated Findings

By reading and running the notebooks in this Tutorial Workspace, researchers will learn the following: - how to query the survey data, - how to summarize PPI modules, and questions.

Demographic Categories of Interest

This study will not center on underrepresented populations.

Research Team

Owner:

Collaborators:

  • Kelsey Mayo
  • John Carr - Project Personnel, Vanderbilt University Medical Center
  • Adrienne Roman - Project Personnel, Vanderbilt University Medical Center

How to Work with All of Us Physical Measurements Data

How to navigate around physical measurements? This workspace shows how researchers can start working on physical measurements data. These measurements (PM) were taken at signup time and include height, weight, hip circumference, bmi, bood pressure. The workspace contains snippets of…

Scientific Questions Being Studied

How to navigate around physical measurements? This workspace shows how researchers can start working on physical measurements data. These measurements (PM) were taken at signup time and include height, weight, hip circumference, bmi, bood pressure.

The workspace contains snippets of code that show how to manipulate PM data, how to clean them and remove potential outliers. The codes are written in both R and Python.

Project Purpose(s)

  • Educational
  • Methods Development

Scientific Approaches

There is no anticipated approach for this study because this is not a research project.

The approach is to use the Physical measurements data from the measurement table, plot them, and show how to clean them.

Anticipated Findings

There is no anticipated findings from this study, because this is an operational work.

However, researchers new to the workbench will find here all the resources needed to start working with the AoU data.

Demographic Categories of Interest

This study will not center on underrepresented populations.

Research Team

Owner:

Collaborators:

  • Kelsey Mayo
  • John Carr - Project Personnel, Vanderbilt University Medical Center
  • Adrienne Roman - Project Personnel, Vanderbilt University Medical Center

How to Get Started with Registered Tier Data

We recommend that all researchers explore the notebooks in this workspace to learn the basics of All of Us Program Data. What should you expect? This notebook will give you an overview of what data is available in the current…

Scientific Questions Being Studied

We recommend that all researchers explore the notebooks in this workspace to learn the basics of All of Us Program Data. What should you expect? This notebook will give you an overview of what data is available in the current Curated Data Repository (CDR). It will also teach you how to retrieve information about Electronic Health Record (EHR), Physical Measurements (PM), and Survey data.

Project Purpose(s)

  • Educational

Scientific Approaches

This Tutorial Workspace contains two Jupyter Notebooks (one written in Python, the other in R). Each notebook is divided into the following sections: 1. Setup: How to set up this notebook, install and import software packages, and select the correct version of the CDR. 2. Data Availability Part 1: How to summarize the number of unique participants with major data types: Physical Measurements, Survey, and EHR; 3. Data Availability Part 2: How to delve a little deeper into data availability within each major data type; 4. Data Organization: An explanation of how data is organized according to our common data model. 5. Example Queries: How to directly query the CDR, using two examples of SQL queries to extract demographic data. 6. Expert Tip: How to access the base version of the CDR, for users that want to do their own cleaning.

Anticipated Findings

By reading and running the notebooks in this Tutorial Workspace, you will understand the following: All of Us data are made available in a Curated Data Repository. Participants may contribute any combination of survey, physical measurement, and electronic health record data. Not all participants contribute all possible data types. Each unique piece of health information is given a unique identifier called a concept_id and organized into specific tables according to our common data model. You can use these concept_ids to query the CDR and pull data on specific health information relevant to your analysis. See our support article Learning the Basics of the All of Us Dataset for more info.

Demographic Categories of Interest

This study will not center on underrepresented populations.

Research Team

Owner:

Collaborators:

  • Kelsey Mayo
  • Adrienne Roman - Project Personnel, Vanderbilt University Medical Center
  • John Carr - Project Personnel, Vanderbilt University Medical Center

SQL-First Workspace Test

sadf

Scientific Questions Being Studied

sadf

Project Purpose(s)

  • Educational

Scientific Approaches

asdf

Anticipated Findings

asdf

Demographic Categories of Interest

This study will not center on underrepresented populations.

Research Team

Owner:

Michael's Test

Women with major depression (demo test)

Scientific Questions Being Studied

Women with major depression (demo test)

Project Purpose(s)

  • Other Purpose (Test for outreach demo)

Scientific Approaches

test

Anticipated Findings

N/A (test)

Demographic Categories of Interest

This study will not center on underrepresented populations.

Research Team

Owner:

  • Michael Holmes - Project Personnel, Vanderbilt University Medical Center

Shimon SynthV3 Test

adsf

Scientific Questions Being Studied

adsf

Project Purpose(s)

  • Educational

Scientific Approaches

asdf

Anticipated Findings

asdf

Demographic Categories of Interest

This study will not center on underrepresented populations.

Research Team

Owner:

Shimon Test 2

asdf

Scientific Questions Being Studied

asdf

Project Purpose(s)

  • Other Purpose (Test)

Scientific Approaches

sadf

Anticipated Findings

asdf

Demographic Categories of Interest

This study will not center on underrepresented populations.

Research Team

Owner:

Eclampsia test workspace

Use eclampsia as test for all of us workbench

Scientific Questions Being Studied

Use eclampsia as test for all of us workbench

Project Purpose(s)

  • Other Purpose (All of us staff operations)

Scientific Approaches

Use eclampsia as test for all of us workbench

Anticipated Findings

Use eclampsia as test for all of us workbench

Demographic Categories of Interest

  • Race / Ethnicity

Research Team

Owner:

Demonstration Dataset

Demonstration

Scientific Questions Being Studied

Demonstration

Project Purpose(s)

  • Educational

Scientific Approaches

Demonstration

Anticipated Findings

Demonstration

Demographic Categories of Interest

This study will not center on underrepresented populations.

Research Team

Owner:

  • Adrienne Roman - Project Personnel, Vanderbilt University Medical Center
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Request a Review of this Research Project

You can request that the All of Us Resource Access Board (RAB) review a research purpose description if you have concerns that this research project may stigmatize All of Us participants or violate the Data User Code of Conduct in some other way. To request a review, you must fill in a form, which you can access by selecting ‘request a review’ below.