Data science in the library : tools and strategies for supporting data-driven research and instruction /
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| Format: | eBook |
| Language: | English |
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London :
Facet Publishing,
[2022].
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| Online Access: | Connect to the full text of this electronic book |
Table of Contents:
- 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.