{"id":19324,"date":"2026-11-02T05:33:53","date_gmt":"2026-11-02T05:33:53","guid":{"rendered":"https:\/\/news.nnlm.gov\/region_7\/?p=19324"},"modified":"2026-10-29T19:34:07","modified_gmt":"2026-10-29T19:34:07","slug":"southeast-data-librarian-symposium-2026","status":"publish","type":"post","link":"https:\/\/news.nnlm.gov\/region_7\/2026\/11\/02\/southeast-data-librarian-symposium-2026\/","title":{"rendered":"Southeast Data Librarian Symposium 2026"},"content":{"rendered":"

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The 2026 Southeast Data Librarian Symposium<\/a> was held online from Wednesday, October 14th<\/sup> to Friday, October 16th<\/sup>. The theme was \u201cThe People\u2019s Data: Access, Literacy, and Trust.\u201d Some of the topics of interest included accessibility in data and data visualization, the patron-focused side of working with AI, data literacy and teaching, and so much more. Along with taking place online, this conference was free for anyone to attend this year, which makes this conference one of the most accessible.<\/p>\n

As someone who is interested in data instruction, one of the presentations that stuck out to me was \u201cGrounded in Code: Teaching Python and R Programming, Complemented by AI for Data Visualization\u201d<\/a> by Doug Dechow and Elaine Yeung from Chapman University. The presenters shared the fundamentals and the lineup of both workshop series, which I found inspirational for potential future teaching opportunities. The presenters emphasized that AI is not to be used as a shortcut to replace the skills programmers use and how data literacy skills are essential when using AI as a tool to complement your work. The CREATE framework is something that was new to me as well. This framework is credited to David Birss, which can be used to write effective prompts for ChatGPT. You can learn more about this framework in \u201cThe Prompt Collection.\u201d<\/a> There was another tool shared that was a LibGuide created by Chapman University on \u201cArtificial Intelligence (AI) Literacy: Citing AI in Your Work.\u201d<\/a> I highly recommend going over the slides to this presentation so you can see their results on how to balance the use of AI tools when coding and \u201ccreating publication-level data.\u201d<\/p>\n

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One of the presentations from the poster session by Jenna Courtade called \u201cShow Me the Data: Highlighting Data Collections Through Digital Library Resources.\u201d<\/a> Courtade had come to see that the University of Miami Libraries did not have a singular place to answer the question \u2018what data does the library provide access to?\u2019 since the data resources in her library were \u201cdistributed among different resource guides.\u201d Courtade then went on to compile these resources into a single resource guide called \u201cDatasets and Statistics.\u201d<\/a> In her poster presentation, she shared her inspiration, the results of the environmental scan and assessments, and shares lessons learned for other libraries who are looking to take on a similar project. This poster would be great for anyone to review, especially if you are starting data services at your institution or looking to improve data services at your library.<\/p>\n

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A few of the 2026 NNLM\u2019s National Center for Data Services Data Interns had also presented at this conference. There is a file on OSF<\/a> where you can view all of the poster presentations at SEDLS. Here is a list of the presentations from this year\u2019s interns:<\/p>\n