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Data Science In The Library: Tools and Strategies for Supporting Data-Driven Research and Instruction

Editat de Joel Herndon
en Limba Engleză Paperback – 18 iul 2022
While there is a growing literature that explores the technical details of data science and the growing methodological concerns, there have been few works that explore how these changes are influencing the work of library and information specialists and faculty.  This book considers the current environment for data driven research, instruction, and consultation from a variety of faculty and library perspectives and suggests strategies for engaging with the tools and methods of data driven research. By combining case studies on data science instruction/consultation with suggestions for best practices, this book contributes to the larger literature on integrating data science training, consultation, programming, and services into both library and university programs.
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Specificații

ISBN-13: 9781783304592
ISBN-10: 1783304596
Pagini: 176
Dimensiuni: 156 x 234 x 18 mm
Greutate: 0.3 kg
Editura: American Library Association
Colecția Facet Publishing

Recenzii

”These [case studies] offer important insights into how libraries developed staffing and expertise, provisioned infrastructure, provided services and instruction, and—most important—collaborated with other units on campus and with organizations outside their institutions ... In sum, this book will be useful to a wide variety of libraries and librarians, whether or not they have launched their own data science initiatives.”
— Choice

Cuprins

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

Descriere

This book explores the rapid expansion of data sources, visualizations, and analytics created in the last decade and explores the strategies, tools, and approaches that educators and information specialists are employing to train a new generation of data professionals.