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Data science in the library : tools and strategies for supporting data-driven research and instruction
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ISBN: 1783304618 1783305185 1783304596 178330460X Year: 2022 Publisher: London : Facet Publishing,

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Abstract

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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Practical data science for information professionals
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ISBN: 9781783303441 9781783303458 9781783303465 1783303441 178330345X 1783303468 Year: 2020 Publisher: London: Facet publishing,

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Outside back cover : Practical Data Science for Information Professionals provides an accessible introduction to a potentially complex field, providing readers with an overview of data science and a framework for its application. It provides detailed examples and analysis on real data sets to explore the basics of the subject in three principle areas: clustering and social network analysis; predictions and forecasts; and text analysis and mining. As well as highlighting a wealth of user-friendly data science tools, the book also includes some example code in two of the most popular programming languages (R and Python) to demonstrate the ease with which the information professional can move beyond the graphical user interface and achieve significant analysis with just a few lines of code.After reading, readers will understand: the growing importance of data science; the role of the information professional in data science; some of the most important tools and methods that information professionals can use.Bringing together the growing importance of data science and the increasing role of information professionals in the management and use of data, Practical Data Science for Information Professionals will provide a practical introduction to the topic specifically designed for the information community. It will appeal to librarians and information professionals all around the world, from large academic libraries to small research libraries. By focusing on the application of open source software, it aims to reduce barriers for readers to use the lessons learned within.


Book
The accidental data scientist : big data applications and opportunities for librarians and information professionals
Authors: ---
ISBN: 9781573877077 1573877077 9781573877084 1573877085 9781573875110 1573875112 Year: 2015 Publisher: Medford, New Jersey : Information Today, Inc.,

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