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  • 2019 (3)

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    Responsible Operations: Data Science, Machine Learning, and AI in Libraries

    8 December 2019

    Thomas Padilla

    Responsible Operations is intended to help chart library community engagement with data science, machine learning, and artificial intelligence (AI) and was developed in partnership with an advisory group and a landscape group comprised of more than 70 librarians and professionals from universities, libraries, museums, archives, and other organizations.

    Operationalizing the BIG Collective Collection: A Case Study of Consolidation vs Autonomy

    20 August 2019

    Lorcan Dempsey, Constance Malpas, Mark Sandler

    The proposed framework recommends strategies for advancing the Big Ten Academic Alliance’s (BTAA) collective collections toward a more purposeful coordination of their print collections. It defines four traits of a purposeful collective collection that can also apply broadly to other consortium settings.

    What Collaboration Means to Me: Library collaboration is hard; effective collaboration is harder

    19 March 2019

    Lorcan Dempsey

    Dempsey argues that library collaboration is important—especially in a network environment, where scale is key for efficiency and impact—and must be a strategic focus for libraries and partners. Library collaboration is hard; this paper analyzes why and offers suggestions for improvement.