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

This title will be available Spring 2022. You may place an order and the item will be shipped when it becomes available. Customers outside of North America (USA and Canada) should contact Facet Publishing for purchasing information.

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Price: 
$81.99
ALA Member 
$73.79
Item Number: 
978-1-78330-459-2
Published: 
2021
Publisher: 
Facet Publishing, UK
Pages: 
234
Width: 
6"
Height: 
9"
Format: 
Softcover
  • Description
  • Table of Contents
  • About the Author

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.

PART 1: DATA SCIENCE AND RESEARCH LIBRARIES – PERSPECTIVES
Sustainability and Success Models for Informal Data Science Training within Libraries
Elizabeth Wickes
The Fundación Juan March DataLab: A Data Science Unit within a Research Support Library
Luis Martínez-Uribe, Paz Fernández and Fernando Martínez

PART 2: DATA SCIENCE INSTRUCTION
Toward Reproducibility: Academic Libraries and Open Science
Joshua Quan
Start with Data Science
Mine Çetinkaya-Rundel

PART 3: DATA SCIENCE SERVICES
In Support of Data-Intensive Science at the University of Washington
Jenny Muilenburg
From a Data Archive to Data Science: Supporting Current Research
Tim Dennis, Zhiyuan Yao, Leigh Phan, Kristian Allen, Jamie Jamison, Doug Daniels and Ibraheem Ali

PART 4: DESIGNING AND STAFFING DATA SCIENCE
In-House Training as the First Step to Becoming a Data Savvy Librarian
Jeannette Ekstrøm
Designing for Data Science: Planning for Library Data Services
Joel Herndon

Joel Herndon

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.

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