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.

Table of Contents:

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 Ekstr?m

Designing for Data Science: Planning for Library Data Services
Joel Herndon

Reference works, dictionaries

Library and information science in general

Library and information management

Library automation, information processing

Conservation and storage

Libraries and information centres

Data management in computer systems

Database management softwares

Data Analysis

Further readings in linguistics

Reference works, dictionaries (charity campaign)

Library and information science in general (charity campaign)

Library and information management (charity campaign)

Library automation, information processing (charity campaign)

Conservation and storage (charity campaign)

Libraries and information centres (charity campaign)

Data management in computer systems (charity campaign)

Database management softwares (charity campaign)

Data Analysis (charity campaign)

Further readings in linguistics (charity campaign)

Data Science in the Library

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.

Data Science in the Library

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

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.