Craig Mayer

Project Personnel, NIH

4 active projects

v2 Data elements and quality

Exploring the ALLofUS datasets, to discover the usage of different dta elements and they are used to define and categorize different cohorts of patients. The a analysis will also aim to identify different phenotype methods based on avaialble data elements…

Scientific Questions Being Studied

Exploring the ALLofUS datasets, to discover the usage of different dta elements and they are used to define and categorize different cohorts of patients. The a analysis will also aim to identify different phenotype methods based on avaialble data elements in the dataset.

Project Purpose(s)

  • Methods Development

Scientific Approaches

Using the complete dataset, we will study the volume and usage of data elements potentially used for phenotyping. This included conducting an analysis of different data element volume and the diversity of values used for distinct data elements.

Anticipated Findings

Our findings will include an understanding of how each data element is used, how commonly and how often values are populated and what are common values for different elements, all in an effort to discover different techniques for phenotype development.

Demographic Categories of Interest

This study will not center on underrepresented populations.

Research Team

Owner:

V4: Data Characterization and Data Quality

This research project characterizes AoU (=All of Us) data and some characterization target investigation of data quality. It will also use AoU to provide reference benchmark data for testing data quality. Data will be analyzed if it conform to expected…

Scientific Questions Being Studied

This research project characterizes AoU (=All of Us) data and some characterization target investigation of data quality. It will also use AoU to provide reference benchmark data for testing data quality. Data will be analyzed if it conform to expected patterns. Included in characterization is describing how data is organized within the data model (All Of Us uses Observational Medical Outcomes Partnership model). We will characterize, which terminologies are used to standardize data. We will analyze which Common Data Elements (e.g., smoking history) are used by AoU). We will also focus on describing which CDEs are not included in the Registered Tier data access. A special class of CDEs analyzed will be COVID-19 survey data elements. The COPE survey data characterization will include descriptive studies possible from these COVID-19 data elements.

Project Purpose(s)

  • Educational
  • Methods Development

Scientific Approaches

Achilles R package developed by OHDSI is example of data quality and data characterization tool. The approach will include running SQL or other analytical queries on AoU dataset. We will create AoU versions of those packages if the workbench environment requires it. We also plan to use Castor package for trend analysis.

Anticipated Findings

We will understand how data is structured either as a whole and what are the differences in data from sites. We will describe which Common Data Elements (CDEs) are used by AoU. Such collection is useful to other principal investigators (PIs) that are looking to standardize data collection.

Demographic Categories of Interest

This study will not center on underrepresented populations.

Research Team

Owner:

Data Quality and Data Characterization

This research project will use AoU data to test data quality methods. It will also use AoU to provide reference benchmark data for testing data quality. The analysis will include data characterization. Data will be analyzed if it conform to…

Scientific Questions Being Studied

This research project will use AoU data to test data quality methods. It will also use AoU to provide reference benchmark data for testing data quality. The analysis will include data characterization. Data will be analyzed if it conform to expected patterns.

Project Purpose(s)

  • Educational
  • Methods Development

Scientific Approaches

Achilles R package developed by OHDSI is example of data quality and data characterization tool. The approach will include running SQL or other analytical queries on AoU dataset.

Anticipated Findings

We will understand how data is structured either as a whole and what are the differences in data from sites.

Demographic Categories of Interest

This study will not center on underrepresented populations.

Research Team

Owner:

Data element analysis of AllofUS

Exploring the ALLofUS datasets, to discover the usage of different dta elements and they are used to define and categorize different cohorts of patients. The a analysis will also aim to identify different phenotype methods based on avaialble data elements…

Scientific Questions Being Studied

Exploring the ALLofUS datasets, to discover the usage of different dta elements and they are used to define and categorize different cohorts of patients. The a analysis will also aim to identify different phenotype methods based on avaialble data elements in the dataset.

Project Purpose(s)

  • Methods Development

Scientific Approaches

Using the complete dataset, we will study the volume and usage of data elements potentially used for phenotyping. This included conducting an analysis of different data element volume and the diversity of values used for distinct data elements.

Anticipated Findings

Our findings will include an understanding of how each data element is used, how commonly and how often values are populated and what are common values for different elements, all in an effort to discover different techniques for phenotype development.

Demographic Categories of Interest

This study will not center on underrepresented populations.

Research Team

Owner:

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