In the last decade, data science has generatednew fields of study and transformed existing disciplines. As data sciencereshapes academia, how can libraries and librarians engage with this rapidlyevolving, dynamic form of research? Can libraries leverage their existingstrengths in information management, instruction, and research support toadvance data science?DataScience in the Library: Tools and Strategies for Supporting Data-DrivenResearch and Instruction brings togetheran international group of librarians and faculty to consider the opportunitiesafforded by data science for research libraries. Using practical examples, eachchapter focuses on data science instruction, reproducible research,establishing data science services and key data science partnerships.This book will be invaluable tolibrary and information professionals interested in building or expanding datascience services. It is a practical, useful tool for researchers, students, andinstructors interested in implementing models for data science service thatbuild community and advance the discipline.

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