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useR! 2024
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8 - 11 July, 2024
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Thursday, July 11 • 12:30 - 12:50
Using R to Co-Create an Inclusive Data Analysis Approach with the HBCU Health Equity Data Consortium - Lois Adler-Johnson, North Carolina Institute for Public Health

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From February 2023 to February 2024, the Historically Black Colleges and Universities (HBCU) Health Equity Data Consortium (HEDC) in North Carolina (NC) deployed the COVID-19 Impact Survey to address critical data gaps on the pandemic’s impact on households across NC. To provide capacity building support for wrangling, analyzing, and visualizing survey results, the NC Institute for Public Health (NCIPH) formed a Data Analysis Workgroup composed of faculty and students from all 10 universities within the HBCU HEDC. Workgroup members had a variety of preferred, mostly licensed programming languages; NCIPH selected R as the primary language as it was free and accessible. NCIPH led R trainings, compiled relevant R resources, and developed shared code for transforming raw results, descriptive statistics, and univariate regression. The group used R Markdown, Quarto, and Shiny to report results, ultimately using the output as a basis for exploratory analyses and dissemination of findings to NC communities. The facilitation of a Data Analysis Workgroup and use of free, open-source R packages and outputs can serve as an engaging framework to bolster data science education and autonomy.
Speakers
avatar for Lois Adler-Johnson

Lois Adler-Johnson

Public Health Data Scientist, North Carolina Institute for Public Health
Lois Adler-Johnson is a Data Scientist at the North Carolina Institute for Public Health who's passionate about sharing and applying her quantitative data analysis and programming skills in ways that address racial and health inequities across North Carolina. Lois has an academic... Read More →

Thursday July 11, 2024 12:30 - 12:50 CEST
Salzburg I
  Data science education
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