Data science in the library tools and strategies for supporting data-driven research and instruction - Herndon, Joel ca. 20./21. Jh (Facet Publishing, 2022)
Title from publisher's bibliographic system (viewed on 07 Apr 2022)
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