University of Rochester
Browse

Accessibly Create and FAIR(ly) Share Visualizations​

presentation
posted on 2025-01-23, 15:43 authored by Matthew MarinerMatthew Mariner, Heather OwenHeather Owen, Sarah SiddiquiSarah Siddiqui

Want to make your visualizations more appealing and accessible? Do you wonder how visualizations can be shared in a FAIR way? In this interactive workshop participants will explore strategies to determine the accessibility of a graph, learn tips for creating accessible graphs, and create their own visualizations with Excel and Tableau. With hands-on exercises, participants will experience the full data visualization cycle, from creating their graphs with accessibility in mind, to preparing their documentation and tables and sharing them.

As data sharing becomes increasingly prevalent, it is imperative that data professionals become knowledgeable on how visualizations can be shared in a way that is FAIR, but also accessible to individuals with disabilities. Raw data and code receive the most attention when it comes to ensuring research is FAIR, but visualizations should also receive the same treatment. While data and code increase the reproducibility of research, it is the visualizations that make it understandable to the general public. This workshop will help bridge this gap, and encourage data professionals to broaden the types of research outputs they assist researchers with.

This workshop was presented via Zoom on 2025/01/23 for the Research Data Access & Preservation Association's (RDAP) 2025 webinar series.


History

Usage metrics

    University of Rochester

    Licence

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC