http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
tools and strategies for supporting data-driven research and instruction
1 online resource ( xxx, 146 pages) : illustrations.
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.
Includes bibliographical references and index.
Édition de contenu dans les bibliothèques