Conference presentation
Data-Driven Engagement and Evaluation to Increase Diversity
American Evaluation Association (11/07/2022–11/12/2022)
11/12/2022
Abstract
The Network of the National Library of Medicine (NNLM) All of Us National Program develops, implements, and evaluates engagement activities for libraries and community-based organizations to raise awareness of All of Us among the public and increase communities’ health literacy, particularly with populations underrepresented in biomedical research (UBR). A challenge to our work was identifying libraries and community organizations that work with and are located within communities with UBR status defined by All of Us. We developed a dashboard that identifies Zip Code Tabulation Area (ZCTAs) to depict areas with UBR variables within communities. Resulting Zip Codes are used to identify libraries and community organizations in those areas to partner with us on outreach activities. During this session, the presenters will show the audience how the dashboard represents a new, more integrated approach to community engagement and evaluation through technology. More specifically, they will describe the dashboard, walk the audience through the development of the dashboard, and demonstrate uses case examples.
Details
- Title: Subtitle
- Data-Driven Engagement and Evaluation to Increase Diversity
- Creators
- Hacer Karamese (Corresponding Author) - University of Wisconsin–MadisonBrittney L Thomas (Author) - University of Iowa, Hardin LibrarySharon Han (Author) - Northeastern UniversityStefania Acosta Ramirez (Author)Laura Bartlett (Author) - United States National Library of MedicineAsih Asikin-Garmager (Contributor) - University of Iowa, Center for Evaluation and Assessment
- Resource Type
- Conference presentation
- Conference
- American Evaluation Association (11/07/2022–11/12/2022)
- Number of pages
- 11 slides
- Copyright
- Copyright © 2022 the presenters
- Language
- English
- Date presented
- 11/12/2022
- Academic Unit
- Center for Evaluation and Assessment
- Record Identifier
- 9984770085102771
Metrics
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