Digital Scholarship & Data Science Topic Guides

Digital Scholarship & Data Science Topic Guides

Over the past few years, the development of excellent self-paced tutorials and training materials for undertaking digital scholarship and data science in libraries have proliferated online. For library professionals who are relatively new to this area however, it can be hard to know where to begin! Without knowing a little bit about the context of how new technologies and methodologies are being deployed in research libraries, this dearth of resources can seem quite daunting. Even if you might have an idea of what learning you’d like to undertake, it can be difficult and time consuming to try and navigate the wealth of individual training resources out there on your own. Digital Scholarship & Data Science Topic Guides for Library Professionals (DS Topic Guides) are written for and by research library professionals across LIBER to help share some of our experience and knowledge and lower those barriers to entry for others!
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McGregor, Nora
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    Item type:Learning object,
    AI & Machine Learning in Libraries
    (2025-05-13)
    McGregor, Nora
    A gentle introduction to AI & Machine Learning demystifying concepts and technologies through the examples of practical applications in library work today.
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