Exploring Data Science Initiatives Through an International Lens

Nandita S. Mani, Emily P. Jones, Rebecca Carlson, Fidan Limani, Atif Latif, Klaus Tochtermann, Faten Hamad, Christine J. Urquhart, Victoria Lemieux, Sarah Ames, Jenna Bain, Justin M. Clark

Source Title: Handbook of Research on Academic Libraries as Partners in Data Science Ecosystems

ISBN13: 9781799897026|ISBN10: 1799897028|ISBN13 Softcover: 9781799897033|EISBN13: 9781799897040

DOI: 10.4018/978-1-7998-9702-6.ch001

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MLA

Mani, Nandita S., et al. "Exploring Data Science Initiatives Through an International Lens." Handbook of Research on Academic Libraries as Partners in Data Science Ecosystems, edited by Nandita S. Mani and Michelle A. Cawley, IGI Global, 2022, pp. 1-24. https://doi.org/10.4018/978-1-7998-9702-6.ch001

APA

Mani, N. S., Jones, E. P., Carlson, R., Limani, F., Latif, A., Tochtermann, K., Hamad, F., Urquhart, C. J., Lemieux, V., Ames, S., Bain, J., & Clark, J. M. (2022). Exploring Data Science Initiatives Through an International Lens. In N. Mani & M. Cawley (Eds.), Handbook of Research on Academic Libraries as Partners in Data Science Ecosystems (pp. 1-24). IGI Global. https://doi.org/10.4018/978-1-7998-9702-6.ch001

Chicago

Mani, Nandita S., et al. "Exploring Data Science Initiatives Through an International Lens." In Handbook of Research on Academic Libraries as Partners in Data Science Ecosystems, edited by Nandita S. Mani and Michelle A. Cawley, 1-24. Hershey, PA: IGI Global, 2022. https://doi.org/10.4018/978-1-7998-9702-6.ch001

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Abstract

Application of data science tools, techniques, and principles have increased within the field of library and information science. This trend is especially noticeable in academic libraries where strategic priorities around data science initiatives have been created to further support and add value to the research enterprises at their institutions. This chapter seeks to highlight a global outlook on how data science has been addressed in library and information studies via case studies in areas including digital humanities, machine learning, and visual analytics. Increasing awareness of how partners across the globe are addressing data science needs at their institutions can help raise visibility of how data science can be infused and utilized within a variety of contexts.