Data science in the library Tools and Strategies for Supporting Data-Driven Research and Instruction

Data science in the library Tools and Strategies for Supporting Data-Driven Research and Instruction

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 man...

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Bibliographic Details
Other Authors: Herndon, Joel (Editor)
Format: Book
Language:English
Published: London, United Kingdom Facet Publishing 2022
Subjects:
Database management in libraries
Data curation in libraries
Data services librarians
Research > Data processing
Online Access:Click Here to View Status and Holdings.
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245 0 0 |a Data science in the library  |b Tools and Strategies for Supporting Data-Driven Research and Instruction  |c [Edited by] Joel Herndon 
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504 # # |a includes references and index 
505 0 # |a Figures - Note on Contributors - Acknowledgements - Abbreviations - 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 Subject - 2 The Fundación Juan March Data Lab: A Data Science Unit within a Research Support Library - PART 2: DATA SCIENCE INSTRUCTION - 3 Toward Reproducibility: Academic Libraries and Open Science - 4 Start with Data Science - PART 3: DATA SCIENCE SERVICES - 5 In Support of Data-Intensive Science at the University of Washington - 6 From a Data Archive to Data Science: Supporting Current Research - PART 4: DESIGNING AND STAFFING DATA SCIENCE - 7 In-House Training as the First Step to Becoming a Data Savvy Librarian - 8 Designing for Data Science: Planning for Library Data Services - Index 
520 # # |a 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. 
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