Maria Rosario Marin Marmol kilrain
Project Personnel, All of Us Program Operational Use
3 active projects
Duplicate of Utah How to Get Started with Registered Tier Data (v7)
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
- 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 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
- Education Level
Data Set Used
Registered TierResearch Team
Owner:
- Perez Bryant - Other, University of Utah
- Maria Rosario Marin Marmol kilrain - Project Personnel, All of Us Program Operational Use
Collaborators:
- Zach Switzer - Other, University of Utah
- Wyeth Collo - Other, University of Utah
- Victoria Fleming - Other, University of Utah
- Elizabeth Gilmartin - Other, University of Utah
- Stephanie Palumbo - Other, University of Utah
- Sanil Nadar - Other, University of Utah
- Rebecca McDermid - Other, University of Utah
- Bellanicer Perez - Graduate Trainee, University of Utah
- Martha Warren - Other, University of Utah
- Molly Malone - Project Personnel, University of Utah
- Matthew Blank - Early Career Tenure-track Researcher, Baylor College of Medicine
- Louisa Stark - Late Career Tenured Researcher, University of Utah
- Linda Liao - Other, University of Utah
- Kristin Fenker - Project Personnel, University of Utah
- Katherine Hussmann - Other, University of Utah
- Katelyn Barry - Other, University of Utah
- Jillian Dela Cruz - Other, University of Utah
- Eric Sodja - Graduate Trainee, University of Utah
- Danielle Mink - Other, University of Utah
- Alexa Wnorowski - Other, University of Utah
- Ashley Green - Project Personnel, All of Us Program Operational Use
- Art Borja - Other, University of Utah
- Aaron Mathieu - Other, University of Utah
- Amanda Kutz - Project Personnel, All of Us Program Operational Use
Duplicate of Utah How to Get Started with Registered Tier Data (v7)
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
- 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 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.
Data Set Used
Registered TierResearch Team
Owner:
- Perez Bryant - Other, University of Utah
- Maria Rosario Marin Marmol kilrain - Project Personnel, All of Us Program Operational Use
Collaborators:
- Zach Switzer - Other, University of Utah
- Wyeth Collo - Other, University of Utah
- Victoria Fleming - Other, University of Utah
- Elizabeth Gilmartin - Other, University of Utah
- Stephanie Palumbo - Other, University of Utah
- Sanil Nadar - Other, University of Utah
- Rebecca McDermid - Other, University of Utah
- Bellanicer Perez - Graduate Trainee, University of Utah
- Martha Warren - Other, University of Utah
- Molly Malone - Project Personnel, University of Utah
- Matthew Blank - Early Career Tenure-track Researcher, Baylor College of Medicine
- Louisa Stark - Late Career Tenured Researcher, University of Utah
- Linda Liao - Other, University of Utah
- Kristin Fenker - Project Personnel, University of Utah
- Katherine Hussmann - Other, University of Utah
- Katelyn Barry - Other, University of Utah
- Jillian Dela Cruz - Other, University of Utah
- Eric Sodja - Graduate Trainee, University of Utah
- Danielle Mink - Other, University of Utah
- Alexa Wnorowski - Other, University of Utah
- Ashley Green - Project Personnel, All of Us Program Operational Use
- Art Borja - Other, University of Utah
- Aaron Mathieu - Other, University of Utah
- Amanda Kutz - Project Personnel, All of Us Program Operational Use
Duplicate of How to Get Started with Registered Tier Data (v7)
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
- 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 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.
Data Set Used
Registered TierResearch Team
Owner:
- Maria Rosario Marin Marmol kilrain - Project Personnel, All of Us Program Operational Use
- Jessica Hamblin - Graduate Trainee, Pennsylvania State University
- Aymone Kouame - Other, All of Us Program Operational Use
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.
