Data Science in the Library: Tools and Strategies for Supporting Data-Driven Research and Instruction...

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Joel Herndon

Data Science in the Library

Tools and Strategies for Supporting Data-Driven Research and Instruction

Joel Herndon

$126

Paperback

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English

Facet Publishing
20 December 2021

Library, archive & information management; Automation of library & information processes; Library & information services; Storage, maintenance & preservation of collections; Data analysis: general

In the last decade, data science has generated new fields of study and transformed existing disciplines. As data science reshapes academia, how can libraries and librarians engage with this rapidly evolving, dynamic form of research? Can libraries leverage their existing strengths in information management, instruction, and research support to advance data science?

Data Science in the Library: Tools and Strategies for Supporting Data-Driven Research and Instruction brings together an international group of librarians and faculty to consider the opportunities afforded by data science for research libraries. Using practical examples, each chapter focuses on data science instruction, reproducible research, establishing data science services and key data science partnerships.

This book will be invaluable to library and information professionals interested in building or expanding data science services. It is a practical, useful tool for researchers, students, and instructors interested in implementing models for data science service that build community and advance the discipline.

Edited by: Joel Herndon
Imprint: Facet Publishing
Country of Publication: United Kingdom
Dimensions: Height: 234mm, Width: 156mm,
ISBN: 9781783304592
ISBN 10: 1783304596
Pages: 176
Publication Date: 20 December 2021
Audience: Professional and scholarly , Undergraduate
Format: Paperback
Publisher's Status: Active

Joel Herndon is the Director of the Center for Data and Visualization Sciences (CDVS) at Duke University Libraries where he leads a library data science program providing support for data visualization, data management, digital mapping, and computational research support. Joel's research focuses on how universities can improve data sharing and data science initiatives through partnerships, training, infrastructure, and project support.

Reviews for Data Science in the Library: Tools and Strategies for Supporting Data-Driven Research and Instruction

"""These [case studies] offer important insights into how libraries developed staffing and expertise, provisioned infrastructure, provided services and instruction, and--most important--collaborated with other units on campus and with organizations outside their institutions ... In sum, this book will be useful to a wide variety of libraries and librarians, whether or not they have launched their own data science initiatives."" -- Choice"