Data Science in the Library

Image credit: Facet Publishing

Abstract

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 conside 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.

Type
Publication
Data Science in the Library
Joel Herndon, Ph.D.
Joel Herndon, Ph.D.
Director, Center for Data and Visualization Sciences

My research interests include data science, research data services, and data curation and management.