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Data science in the library : tools and strategies for supporting data-driven research and instruction / edited by Joel Herndon.

Contributor(s): Herndon, JoelMaterial type: TextTextLanguage: English Publication details: London : Facet Publishing, 2022. Description: xix, 146 p. : ill. ; 23 cmISBN: 9781783304592; 9781783304608Subject(s): Data services librarians | Database management in librariesDDC classification: DAT 2022 Online resources: WorldCat Details
Contents:
Table of contents PART 1: DATA SCIENCE AND RESEARCH LIBRARIES - PERSPECTIVES Sustainability and Success Models for Informal Data Science Training within LibrariesElizabeth Wickes The Fundacion Juan March DataLab: A Data Science Unit within a Research Support LibraryLuis Martinez-Uribe, Paz Fernandez and Fernando Martinez PART 2: DATA SCIENCE INSTRUCTION Toward Reproducibility: Academic Libraries and Open ScienceJoshua Quan Start with Data ScienceMine Cetinkaya-Rundel PART 3: DATA SCIENCE SERVICES In Support of Data-Intensive Science at the University of WashingtonJenny Muilenburg From a Data Archive to Data Science: Supporting Current ResearchTim 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 LibrarianJeannette Ekstrom Designing for Data Science: Planning for Library Data ServicesJoel Herndon
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
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Holdings
Item type Current library Collection Call number Copy number Status Date due Barcode Item holds
Text Text Dr. S. R. Lasker Library, EWU
Reserve Section 		Non-fiction 025 DAT 2022 (Browse shelf(Opens below)) C-1 Not For Loan 30775
Text Text Dr. S. R. Lasker Library, EWU
Circulation Section 		Non-fiction 025 DAT 2022 (Browse shelf(Opens below)) C-2 Available 30776
Total holds: 0

Includes bibliographical references and index

Table of contents PART 1: DATA SCIENCE AND RESEARCH LIBRARIES - PERSPECTIVES Sustainability and Success Models for Informal Data Science Training within LibrariesElizabeth Wickes The Fundacion Juan March DataLab: A Data Science Unit within a Research Support LibraryLuis Martinez-Uribe, Paz Fernandez and Fernando Martinez PART 2: DATA SCIENCE INSTRUCTION Toward Reproducibility: Academic Libraries and Open ScienceJoshua Quan Start with Data ScienceMine Cetinkaya-Rundel PART 3: DATA SCIENCE SERVICES In Support of Data-Intensive Science at the University of WashingtonJenny Muilenburg From a Data Archive to Data Science: Supporting Current ResearchTim 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 LibrarianJeannette Ekstrom Designing for Data Science: Planning for Library Data ServicesJoel Herndon

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

Information Studies Information Studies

Sagar Shahanawaz

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