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

Format:

Book

Contributor:

Herndon, Joel, editor.

Language:

English

Subjects (All):

Database management in libraries.

Data curation in libraries.

Data services librarians.

Research--Data processing.

Research.

Big data.

Physical Description:

1 online resource (xxx, 146 pages) : digital, PDF file(s).

Place of Publication:

London : Facet Publishing, 2022.

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?<br><br><i>Data Science in the Library: Tools and Strategies for Supporting Data-Driven Research and Instruction</i> 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.<br><br>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

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.

Notes:

Title from publisher's bibliographic system (viewed on 07 Apr 2022).

Other Format:

Print version: Herndon, Joel Data Science in the Library

ISBN:

9781783305186

1783305185

9781783304615

1783304618