This mini-course comes from the NNLM National Center for Data Services and Regional Medical Libraries 1, 2, and 4, with the aim of advancing the use of inclusive and accessible practices in the use of health data. Spots are limited. 

This is a 4-part class. Due to limited space, please only register if you can commit to all 4 sessions. When you register on this page, you will be registered for all 4 sessions.

All 4 sessions will be held @ 11PT/12MT/1CT/2ET (90 minutes each).

Dates and descriptions for all 4 sessions:

1. Global-Scale Data Inclusivity (April 3, 2023) Due to unforseen circumstances, the session scheduled on April 3,2023 is cancelled.
   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. Presenter: Damian Borbolla, Wolters Kluwer
   
    
2. Inclusive Data Governance (April 10, 2023)
   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. Presenter: Stephanie Carroll, University of Arizona
    
3. Digital and Data Accessibility (April 17, 2023)
   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. Presenter: Johan Rempel, Georgia Tech's Center for Inclusive Design and Innovation
    
4. Accessible Data Reporting & Visualization (April 24, 2023)
   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. Presenter: Alice Feng, Data Analyst and Visualizer