| Description |
1 online resource (xxx, 146 pages) : illustrations |
| Bibliography |
Includes bibliographical references and index. |
| Summary |
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. |
| Contents |
Introduction: The rise of data science / Joel Herndon -- 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, Kristian Allen, Jamie Jamison, Doug Daniels, and Ibraheem Ali -- 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. |
| Local Note |
eBooks on EBSCOhost EBSCO eBook Subscription Academic Collection - North America |
| Subject |
Database management in libraries.
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Data curation in libraries.
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Data services librarians.
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Research -- Data processing.
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Big data.
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Bibliotecas -- Datos-Tratamiento |
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Datos-Tratamiento |
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Big data |
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Data curation in libraries |
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Data services librarians |
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Database management in libraries |
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Research -- Data processing |
| Added Author |
Herndon, Joel, editor.
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| Other Form: |
Print version: Data science in the library. London : Facet Publishing, 2021 9781783304608 (OCoLC)1264401042 |
| ISBN |
9781783304615 (PDF) |
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1783304618 (PDF) |
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9781783305186 (EPUB) |
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1783305185 (EPUB) |
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9781783304592 (paperback) |
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1783304596 (paperback) |
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9781783304608 (hardcover) |
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178330460X (hardcover) |
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