Data Science in the Library

Tools and Strategies for Supporting Data-Driven Research and Instruction

Häftad, Engelska, 2021

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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.

Produktinformation

Utgivningsdatum2021-12-20
Mått156 x 234 x 14 mm
Vikt270 g
FormatHäftad
SpråkEngelska
Antal sidor176
FörlagFacet Publishing
ISBN9781783304592

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Referensverk och tvärvetenskap inom Samhälle och politik
Databaser inom Data och IT

Joel Herndon is the Director of the Center for Data and Visualization Sciences (CDVS) at Duke University Libraries where he leads a library data science program providing support for data visualization, data management, digital mapping, and computational research support. Joel's research focuses on how universities can improve data sharing and data science initiatives through partnerships, training, infrastructure, and project support.

PART 1: DATA SCIENCE AND RESEARCH LIBRARIES – PERSPECTIVES Sustainability and Success Models for Informal Data Science Training within LibrariesElizabeth WickesThe Fundación Juan March DataLab: A Data Science Unit within a Research Support LibraryLuis Martínez-Uribe, Paz Fernández and Fernando MartínezPART 2: DATA SCIENCE INSTRUCTION Toward Reproducibility: Academic Libraries and Open ScienceJoshua QuanStart with Data ScienceMine Çetinkaya-RundelPART 3: DATA SCIENCE SERVICES In Support of Data-Intensive Science at the University of WashingtonJenny MuilenburgFrom a Data Archive to Data Science: Supporting Current ResearchTim Dennis, Zhiyuan Yao, Leigh Phan, Kristian Allen, Jamie Jamison, Doug Daniels and Ibraheem AliPART 4: DESIGNING AND STAFFING DATA SCIENCE In-House Training as the First Step to Becoming a Data Savvy LibrarianJeannette Ekstrøm Designing for Data Science: Planning for Library Data ServicesJoel Herndon

”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

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