Sarah Lippincott’s ARL-CNI report, “Mapping the Current Landscape of Research Library Engagement with Emerging Technologies in Research and Learning” has been released. In it, she identifies strategic opportunities for research libraries to adopt and engage with emerging technologies, with a roughly five-year time horizon, such as utilizing “machine learning to improve research, learning, and scholarly communication” in libraries. Lippincott also considers the ways in librarian and practitioner roles will be reconceptualized to support data science research and education, data curation services, and Collections-As-Data initiatives. In all of these, she encourages a “values based decisions making” approach for adapting, adopting, and experimenting with emergent technologies, balancing “agility and sustainability, convenience and privacy, transformation and persistence.”
Lippincott, Sarah. Mapping the Current Landscape of Research Library Engagement with Emerging Technologies in Research and Learning. Edited by Mary Lee Kennedy, Clifford Lynch, and Scout Calvert. Association of Research Libraries, Born-Digital, Coalition for Networked Information, and EDUCAUSE, 2021. https://doi.org/10.29242/report.emergingtech2020.landscape.
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This post was produced through a cooperation between Anne Donlon, Colleen Farry, Tierney Gleason, David Gustavsen, Jennifer Hootman, Jill Krefft, and Jennifer Matthews (Editors-at-Large for the week), Nickoal Eichmann-Kalwara (Editor for the week), and Caitlin Christian-Lamb, Alasdair Ekpenyong, Linsey Ford, and Pamella Lach (dh+lib Review Editors).