Data Science in the Library (Paperback)

Joel Herndon

ISBN 10: 1783304596 / ISBN 13: 9781783304592

Published by Facet Publishing, London, 2021

About this Item

Paperback. 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Seller Inventory # 9781783304592

Bibliographic Details

• Title: Data Science in the Library (Paperback)
• Publisher: Facet Publishing, London
• Publication Date: 2021
• Language: English
• ISBN 10: 1783304596
• ISBN 13: 9781783304592
• Binding: Paperback
• Condition: new

About this title

Synopsis

While there is a growing literature that explores the technical details of data science and the growing methodological concerns, there have been few works that explore how these changes are influencing the work of library and information specialists and faculty.  This book considers the current environment for data driven research, instruction, and consultation from a variety of faculty and library perspectives and suggests strategies for engaging with the tools and methods of data driven research. By combining case studies on data science instruction/consultation with suggestions for best practices, this book contributes to the larger literature on integrating data science training, consultation, programming, and services into both library and university programs.

About the Author

Joel Herndon leads Duke Libraries' Data and Visualization Services, a consulting and training service providing support for data science, data management, data visualization, digital mapping, and data analysis. His recent research considers the evolution of data management requirements in social science journals and how research libraries can provide consultation and training to meet those requirements (Herndon and O'Reilly, 2016). He has a strong interest in how libraries engage with their communities in digital research and training. Recent projects include leading the launch of the Edge research space in Duke Libraries, active involvement in Duke's DataFest competitions, and serving as a principal investigator on the Data Curation Network.