Exploring Data Science Initiatives Through an International Lens

Author:

Mani Nandita S.1ORCID,Jones Emily P.1ORCID,Carlson Rebecca1ORCID,Limani Fidan2ORCID,Latif Atif2ORCID,Tochtermann Klaus2,Hamad Faten3ORCID,Urquhart Christine J.4,Lemieux Victoria5,Ames Sarah6,Bain Jenna7,Clark Justin M.8

Affiliation:

1. University of North Carolina at Chapel Hill, USA

2. Leibniz Information Centre for Economics, Germany

3. The University of Jordan, Jordan

4. Aberystwyth University, UK

5. The University of British Columbia, Canada

6. National Library of Scotland, UK

7. State Library of New South Wales, Australia

8. Bond University, Australia

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.

Publisher

IGI Global

Reference41 articles.

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3. Big Ten Academic Alliance. (n.d.). Big Ten Academic Alliance Open Access Repositories. Big Academic Alliance. https://btaa.org/library/scholarly-communication/open-access-repositories

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5. Big Data and Libraries: Identifying Themes in the Literature

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