Data Science for Librarians
by Yunfei Du and Hammad Rauf Khan
March 2020, 168pp, 7x10
1 volume, Libraries Unlimited

Paperback: 978-1-4408-7121-4
$65, £49, 57€, A88
eBook Available: 978-1-4408-7122-1
Please contact your preferred eBook vendor for pricing.

An intensive overview of conceptual and practical tools for data librarian practice.

This unique textbook intersects traditional library science with data science principles that readers will find useful in implementing or improving data services within their libraries.

Data Science for Librarians introduces data science to students and practitioners in library services. Writing for academic, public, and school library managers; library science students; and library and information science educators, authors Yunfei Du and Hammad Rauf Khan provide a thorough overview of conceptual and practical tools for data librarian practice.

Partially due to how quickly data science evolves, libraries have yet to recognize core competencies and skills required to perform the job duties of a data librarian. As society transitions from the information age into the era of big data, librarians and information professionals require new knowledge and skills to stay current and take on new job roles, such as data librarianship. Such skills as data curation, research data management, statistical analysis, business analytics, visualization, smart city data, and learning analytics are relevant in library services today and will become increasingly so in the near future. This text serves as a tool for library and information science students and educators working on data science curriculum design.


  • Reviews fundamental concepts and principles of data science
  • Offers a practical overview of tools and software
  • Highlights skills and services needed in the 21st-century academic library
  • Covers the entire research data life cycle and the librarian's role at each stage
  • Provides insight into how library science and data science intersect
Yunfei Du is professor of library science and associate dean in the College of Information at the University of North Texas (UNT). He has worked in academic libraries as a systems librarian and published in many academic journals. He published a monograph on rural library management with Libraries Unlimited in 2016. Du has designed and implemented the curriculum for both the undergraduate and graduate data science degrees offered at UNT.

Hammad Rauf Khan is a doctoral candidate and teaching fellow at the University of North Texas with experience working in both public and academic libraries. He has published and presented research at major national and international conferences in the field of library and information science. His research articles have covered topics such as data literacy, research data services, data professionals, data management, and the research data life cycle.


"A worthy contribution to the dynamic field of data science, suited for library professionals in all types of libraries."—Library Journal, July 1, 2020

"Yunfei Du and Hammad Rauf Khan are true experts in both library science and data science. They have written the best primer for every librarian interested in data science."—Junhua Ding, Professor of Data Science, University of North Texas

Library and Information Science Text Series

Covering essential LIS skills and areas of study, Libraries Unlimited Library and Information Science Textbook Series brings you trusted, state-of-the-art resources from top faculty to help prepare and teach a wide variety of LIS courses. Specifically designed for full- and part-time faculty and students, these books are also solid professional resources for LIS practitioners.
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