Data Science in the Library

Name: Data Science in the Library
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SKU: 9781783304592
Price: 147.0 NZD
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Tools and Strategies for Supporting Data-Driven Research and Instruction

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Summary

Data Science in the Library explores how libraries and librarians can embrace the transformative impact of data science on academia. It presents practical examples of data science instruction, reproducible research, and the development of data science services and partnerships within research libraries.
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Format: Paperback / softback

$147⁰⁰

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Data Science in the Library

$147⁰⁰

Book Hero Magic created this recommendation. While it's new and still learning, it may not be perfect - your feedback is welcome! IS THIS YOUR NEXT READ?

This book is ideal for library and information professionals seeking to develop or enhance data science services, as well as researchers, students, and instructors interested in fostering community and advancing data-driven research within academic libraries.

This book explores the rapid expansion of data sources, visualizations, and analytics created in the last decade and explores the strategies, tools, and approaches that educators and information specialists are employing to train a new generation of data professionals.

Description

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.

Book Details

INFORMATION

ISBN: 9781783304592

Publisher: Facet Publishing

Format: Paperback / softback

Date Published: 20 December 2021

Country: United Kingdom

Imprint: Facet Publishing

Contributors:

Edited by Joel Herndon

Audience: Professional and scholarly

DIMENSIONS

Width: 156.0mm

Height: 234.0mm

Weight: 250g

Pages: 176

Collections

Computing & Technology Education & Reference Non-Fiction Science & Nature

About the Author

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.