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CHICAGO — 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? Published by Facet Publishing and available through the Store, “” 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 in this collection edited by Joel Herndon focuses on data science instruction, reproducible research, establishing data science services, and key data science partnerships. Researchers, students, and instructors will find this a powerful resource for implementing models for data science service that build community and advance the discipline.

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. His research focuses on how universities can improve data sharing and data science initiatives through partnerships, training, infrastructure, and project support.

, the commercial publishing and bookselling arm of CILIP: the Chartered Institute of Library and Information Professionals, is the leading publisher of books for library and information professionals worldwide. purchases fund advocacy, awareness and accreditation programs for library and information professionals worldwide. publishes resources used by library and information professionals, scholars, students, and educators to improve programs and services, build on best practices, enhance pedagogy, share research, develop leadership, and promote advocacy. authors and developers are leaders in their fields, and their content is published in a variety of print and electronic formats. Contact Editions | Neal-Schuman at editionsmarketing@ala.org.

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