Books > Reference & Interdisciplinary > Library & information sciences > Automation of library & information processes
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Data Science in the Library - Tools and Strategies for Supporting Data-Driven Research and Instruction (Hardcover)
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Data Science in the Library - Tools and Strategies for Supporting Data-Driven Research and Instruction (Hardcover)
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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.
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