Hands-on Data Science for Librarians
Hands-on Data Science for Librarians by Sarah Lin, published by CRC Press in 2023, is a practical guide designed to enhance the data management and analysis skills of librarians. This edition, comprising 180 pages, addresses the challenges librarians face in transitioning from proprietary software to coding for data science tasks. The book emphasizes the importance of using R for various applications relevant to library work, including data visualization, web scraping, and machine learning.
Readers will find a comprehensive approach to acquiring data science skills tailored specifically for librarians across different types of libraries, whether public, academic, or special. The content focuses on real-world applications, providing step-by-step code examples that facilitate understanding and implementation. By bridging the gap between theory and practice, this book aims to empower librarians to effectively utilize data science in their daily responsibilities, making it a valuable resource for both practicing librarians and graduate students in library and information science.
Official synopsis Publisher
Librarians understand the need to store, use and analyze data related to their collection, patrons and institution, and there has been consistent interest over the last 10 years to improve data management, analysis, and visualization skills within the profession. However, librarians find it difficult to move from out-of-the-box proprietary software applications to the skills necessary to perform the range of data science actions in code. This book will focus on teaching R through relevant examples and skills that librarians need in their day-to-day lives that includes visualizations but goes much further to include web scraping, working with maps, creating interactive reports, machine learning, and others. While there’s a place for theory, ethics, and statistical methods, librarians need a tool to help them acquire enough facility with R to utilize data science skills in their daily work, no matter what type of library they work at (academic, public or special). By walking through each skill and its application to library work before walking the reader through each line of code, this book will support librarians who want to apply data science in their daily work. Hands-On Data Science for Librarians is intended for librarians (and other information professionals) in any library type (public, academic or special) as well as graduate students in library and information science (LIS).
Key Features:
- Only data science book available geared toward librarians that includes step-by-step code examples
- Examples include all library types (public, academic, special)
- Relevant datasets
- Accessible to non-technical professionals
- Focused on job skills and their applications
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