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Full-Text Articles in Library and Information Science

Data Visualization, Licensing, And Other Generative Ai Initiatives At Minnesota State University Mankato, Evan Rusch, Nat Gustafson-Sundell Jun 2024

Data Visualization, Licensing, And Other Generative Ai Initiatives At Minnesota State University Mankato, Evan Rusch, Nat Gustafson-Sundell

Library Services Publications

At Minnesota State University Mankato (MNSU), we’ve undertaken several experiments and initiatives focused on Generative Artificial Intelligence. At the start of the fall semester, we collaborated with university Information Technology Services to present a professional development session for returning faculty through the MNSU Center for Excellence in Teaching & Learning on “5 Tips for Teaching with AI.” We also presented to librarians across the regional consortium, Minitex, on “The Library & Generative AI.” This presentation included several demonstrations. It was offered as an introduction to Generative AI focused on topics most relevant to librarians, including information literacy, as well as …


The Budget Proposal As A Constructive Collections Engagement Tool And Practice, Evan Rusch, Pat Lienemann, Heidi J. Southworth, Nat Gustafson-Sundell Jun 2024

The Budget Proposal As A Constructive Collections Engagement Tool And Practice, Evan Rusch, Pat Lienemann, Heidi J. Southworth, Nat Gustafson-Sundell

Library Services Publications

At Minnesota State University Mankato (MNSU), our story might sound familiar. After more than a decade of flat or decreased budgets, we have cancelled hundreds of journal subscriptions and numerous journal packages. We do occasionally add journals, but only by cancelling others. We often say we are “managing library decline,” and our primary objective is to cut cleanly and accurately, so that we can continue to support accreditation and an evolving curriculum. Over the years, we have developed various tools to guide our cuts and we have demonstrated these at NASIG and elsewhere. These tools have also served for collection …


Novelty Visualizations Of Collections Data: Real Impact Or Comic Interlude?, Nat Gustafson-Sundell, Evan Rusch Feb 2024

Novelty Visualizations Of Collections Data: Real Impact Or Comic Interlude?, Nat Gustafson-Sundell, Evan Rusch

Library Services Publications

Nat and Evan have experimented with a new approach to data visualization using Dall-E 3, an image generation tool. The goal has been to create data illustrations, like charts, but using images. They discuss the advantages and disadvantages of this approach as demonstrated through numerous examples.


The Collections Pbi: Interactive Data Visualization For Campus Outreach, Nat Gustafson-Sundell, Evan Rusch, Pat Lienemann, Jeff Rosamond May 2023

The Collections Pbi: Interactive Data Visualization For Campus Outreach, Nat Gustafson-Sundell, Evan Rusch, Pat Lienemann, Jeff Rosamond

Library Services Publications

At Minnesota State University, Mankato, we have developed a new approach to collections outreach utilizing interactive data visualization in Microsoft Power BI. The new tool, which we call the Collections PBI, empowers us to demonstrate very clearly and vividly the library's value to campus. The Collections PBI can be used for a variety of purposes, including collection development and collection evaluation, for program review and accreditation. We will demonstrate the Collections PBI and talk about how we are using it to support collections outreach and other library priorities. We'll also discuss design and development issues so others can see how …


Automating Collection Analysis Data Visualization In Jupyter Notebook: What's Possible And Why Would You Do It, Pat Lienemann, Luwis A.R.R. Andradi, Nat Gustafson-Sundell, Evan Rusch Mar 2020

Automating Collection Analysis Data Visualization In Jupyter Notebook: What's Possible And Why Would You Do It, Pat Lienemann, Luwis A.R.R. Andradi, Nat Gustafson-Sundell, Evan Rusch

Library Services Publications

NOTE: In order to see the full presenter’s notes, you must download and open in Acrobat Reader. The presenter’s notes will be cut-off if the PDF is viewed in some browsers.

Data visualizations help librarians see through the clutter of collection analysis metrics, and can be very useful for outreach to academic partners. Automating the production of data visualizations in Jupyter Notebook from standardized data inputs enables us to produce more reports for more academic departments, which increases our impact.