Data science in the library : tools and strategies for supporting data-driven research and instruction

著者

    • Herndon, Joel

書誌事項

Data science in the library : tools and strategies for supporting data-driven research and instruction

edited by Joel Herndon

Facet Publishing, 2022

  • : hardback

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注記

Includes bibliographical references and index

内容説明・目次

内容説明

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.

目次

PART 1: DATA SCIENCE AND RESEARCH LIBRARIES – PERSPECTIVES Sustainability and Success Models for Informal Data Science Training within Libraries Elizabeth Wickes 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 Toward Reproducibility: Academic Libraries and Open Science Joshua Quan Start with Data Science Mine Çetinkaya-Rundel PART 3: DATA SCIENCE SERVICES In Support of Data-Intensive Science at the University of Washington Jenny Muilenburg 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 In-House Training as the First Step to Becoming a Data Savvy Librarian Jeannette Ekstrøm Designing for Data Science: Planning for Library Data Services Joel Herndon

「Nielsen BookData」 より

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