Available Until 3/14/2026

Inclusion and Accessibility in the Data Age: A Short Course*

For more information or to schedule this course, please contact the NNLM Training Office at nto@utah.edu . 

This short course is designed to advance and increase the use of inclusive and accessible practices by professionals in producing and making use of health data. The course is made up of 4 distinct sessions.

Descriptions of all 4 sessions:

  1. Global-Scale Data Inclusivity 
    In this session participants will learn about the different phases of the biomedical data lifecycle and what are the strategies recommended at a global level to make data inclusive. An introduction to data inclusivity and the challenges associated to that will be also covered. 
     
  2. Inclusive Data Governance 
    This session will focus on inclusivity and Indigenous data governance and examine (1) how Indigenous Peoples govern their data, (2) how other data actors and stewards manage Indigenous data, and (3) how changing data norms aligned with Indigenous Peoples’ rights and interests expands ethical and inclusive data governance practices.
     
  3. Digital and Data Accessibility 
    In this session, existing guidelines and standards within a rapidly evolving digital environment will be examined. A brief overview of the existing Web Content Accessibility Guidelines (WCAG) will be provided, along with the proposed WCAG 3.0 framework currently in development. An overview of the legal landscape including current and proposed standards and requirements will also be addressed. 
     
  4. Accessible Data Reporting & Visualization 
    This session will provide some starting ideas for how to make data reports and visualizations more accessible to audiences of all abilities. Students will learn about why accessibility is an important issue in data communication as well as the challenges in creating accessible charts and graphs and will come away from this session with an understanding of how to use language and color to make more accessible data visualizations

This is an elective for the Level II of the Data Services Specialization.

Resource URL: [Pending] 

Learning Objectives

  • Apply accessible and inclusive practices when using health data in a library setting
  • Advise researchers on inclusivity in data-based research
  • Discuss challenges and opportunities for making data accessible to all individuals
  • Identify bias in research methods and reporting
  • Apply basic principles of accessibility in data use and reporting

Agenda

Each session will be 90 minutes.

MLA CE Credits: 6