Data science in the library : tools and strategies for supporting data-driven research and instruction / edited by Joel Herndon.

Introduction: The rise of data science
PART 1: DATA SCIENCE AND RESEARCH LIBRARIES: PERSPECTIVES
1. Sustainability and success models for informal data science training within libraries / Elizabeth Wickes
2. 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
3. Toward reproducibility: academic libraries and open science / Joshua Quan
4. Start with data science / Mine Çetinkaya-Rundel
PART 3: DATA SCIENCE SERVICES
5. In support of data-intensive science at the University of Washington / Jenny Muilenburg
6. From a data archive to data science: supporting current research / Tim Dennis, Zhiyuan Yao, Leigh Phan, et al
PART 4: DESIGNING AND STAFFING DATA SCIENCE
7. In-house training as the first step to becoming a data savvy librarian / Jeannette Ekstrøm
8. Designing for data science: planning for library data services / Joel Herndon.