Description
| Product ID: | 9781783304592 |
| Product Form: | Paperback / softback |
| Country of Manufacture: | GB |
| Title: | Data Science in the Library |
| Subtitle: | Tools and Strategies for Supporting Data-Driven Research and Instruction |
| Authors: | Author: Joel Herndon |
| Page Count: | 176 |
| Subjects: | Library, archive and information management, Library, archive & information management, IT, Internet and electronic resources in libraries, Library and information services, Archiving, preservation and digitization, Data science and analysis: general, Data capture and analysis, Data mining, IT, Internet & electronic resources in libraries, Library & information services, Archiving, preservation & digitisation , Data analysis: general, Data capture & analysis, Data mining |
| Description: | This book explores the rapid expansion of data sources, visualizations, and analytics created in the last decade and explores the strategies, tools, and approaches that educators and information specialists are employing to train a new generation of data professionals. 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. |
| Imprint Name: | Facet Publishing |
| Publisher Name: | Facet Publishing |
| Country of Publication: | GB |
| Publishing Date: | 2021-12-20 |
