Author ORCID Identifier

https://orcid.org/0000-0002-5098-6758 - Tobler-Gaston

https://orcid.org/0009-0007-0923-7046 - Griess

https://orcid.org/0000-0002-5730-1029 - Farooq

Document Type

Presentation

Publication Date

2-11-2026

Abstract

Join us in celebrating Love Data Week with a series of short, practical presentations led by the library’s Research Data Services team. Faculty, staff, and students are invited to join us on February 11 from noon to 1 P.M., either in person or via Zoom, for three focused sessions designed to support research, teaching, and data-informed scholarship.

Presentations

Omer Farooq: Stats Test Matchmaking: Finding the Right Statistical Analysis for Your Data

“What statistical analysis should I use?” is a common question among researchers. Selecting an appropriate statistical test can be challenging, especially when navigating unfamiliar methods. This presentation introduces SAGE Research Methods’ Which Stats Test tool, a guided resource that helps users identify suitable statistical analyses by answering a series of targeted questions. Additional resources for supporting analysis write-ups will also be discussed, along with ways these tools can be integrated into research support and instruction.

Jennie Tobler-Gaston: Make Your Graphs and Tables Accessible

Graphs, charts, and tables are essential tools for communicating research findings—but only when they are accessible to all users. This presentation examines why accessibility is a critical component of effective data visualization and demonstrates practical strategies for creating accessible graphs and tables. The session aligns with current ADA guidelines and emphasizes inclusive practices that broaden the reach and impact of scholarly communication.

April Griess: Enhancing Image Accessibility with AI

Accessible images are a key component of inclusive digital scholarship. AI-powered tools can assist in creating text-based descriptions that convey the meaning of visual content to a wide range of users. This presentation demonstrates how to generate accurate image descriptions and alternative text using the ASU Image Accessibility Generator and Microsoft Copilot, highlighting practical applications for teaching, research, and online publishing.

Comments

PDF passed Adobe accessibility checker and PowerPoint passed accessibility checker prior to upload. 

This was presented at Criss Library in celebration of Love Data Week 2026.

Love Data Week_ada.pptx (1081 kB)
PowerPoint Slides - passed accessibility checker

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