Access Services Interest Group

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Charge: Provides a broad framework for discussing topics and exploring areas of development in the field of Access Services.
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Resource Sharing and Generative Artificial Intelligence

  • 1.  Resource Sharing and Generative Artificial Intelligence

    Posted Sep 30, 2024 12:34 PM

    Good day,

    This quantitative study will measure how generative artificial intelligence (GAI) is affecting the workload of Resource Sharing professionals in academic libraries. This study is intended to add to the body of scholarship about resource sharing and generative artificial intelligence.
     
    You are invited to complete an online survey that will take approximately 10-15 minutes to complete.  The survey is completely voluntary and has been approved by the Rider University IRB.  You may access the survey at: https://rider.qualtrics.com/jfe/form/SV_0wAeaQv5SH7K8nk
    We thank you for your participation!
    Primary investigators:
    Dr. Sharon Whitfield
    Electronic Resources and User Access Librarian, swhitfield@rider.edu
    Margaret Bergmark-Williams
    Access Services Manager
    Zoe Beaton
    interim Office Specialist (ILL and Document Delivery)


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    Sharon Whitfield
    Electronic Resources & User Access
    Rider University
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