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

    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.

    Creating Library Linked Data with Wikibase: Lessons Learned from Project Passage

    Creating Library Linked Data with Wikibase: Lessons Learned from Project Passage

    5 August 2019

    Jean Godby, Karen Smith-Yoshimura, Bruce Washburn, Kalan Knudson Davis, Karen Detling, Christine Fernsebner Eslao, Steven Folsom, Xiaoli Li, Marc McGee, Karen Miller, Honor Moody, Craig Thomas, Holly Tomren

    “Project Passage” is an OCLC Research Wikibase prototype that explores using linked data in library cataloging workflows. The report overviews the prototype’s development, its adaptation for library use, and eight librarians’ experiences with the editing interface to create metadata for resources.