Data Science in Libraries
Training librarians in data science skills for managing digital collections and making data-driven operational decisions.
| What is it | Training librarians in data science skills for managing digital collections and making data-driven operational decisions. |
|---|---|
| Pricing | Unknown |
| Platform | Web Application |
| Best for | Developing data science skills for library staff, Creating data-driven management strategies |
| Domain registered | 2025 |
Data updated Aug. 1, 2026
What does Data Science in Libraries do?
Data Science in Libraries is an educational initiative that addresses the growing need for data science skills in library and information science. The program specifically targets two critical gaps: the skills gap for mid-career librarians who need data science training, and the management gap for library administrators who need frameworks for data-driven decision making. This is particularly important as libraries increasingly build and maintain the National Digital Platform.
The initiative provides coordinated continuing education programs rather than ad-hoc training, offering structured learning paths and practical toolkits. It brings together diverse communities to share experiences and perspectives on applying data science in library contexts. The focus is on developing sustainable approaches to data management, analysis, and strategic planning within library operations.
This program benefits librarians at all career stages, library administrators making operational decisions, and information professionals working with digital collections. Real-world applications include developing data-driven collection management strategies, analyzing library usage patterns, and building infrastructure for digital preservation. The initiative helps libraries thoughtfully apply data science techniques to improve services and manage increasingly complex digital resources.
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