Data Science in the Library - Herndon, Joel; (szerk.) - Prospero Internetes Könyváruház
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Data Science in the Library

Tools and Strategies for Supporting Data-Driven Research and Instruction
 
Kiadás sorszáma: 1
Kiadó: Facet Publishing
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A kedvezmény érvényes eddig: 2024. december 31.
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Rövid leírás:

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.

Hosszú leírás:

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.


Tartalomjegyzék:
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 Ekstr?m

Designing for Data Science: Planning for Library Data Services
Joel Herndon