Implementing UN SDG Auto-Tagging: A Practical Guide for Librarians
This presentation presents a practical approach to using artificial intelligence (AI) for tagging graduate theses housed in an institutional repository with the United Nations Sustainable Development Goals (UN SDGs). Utilizing strategies requiring no prior programming experience, this presentation will provide a step-by-step guide, cost analysis, and lessons learned from employing two AI-based tagging methods. These methods, attempted with varying degrees of success, highlight the potential of using AI for the thematic tagging of digital library resources.
Institutions
- Cal Poly Humboldt (US)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-06-17
- DOI
- https://doi.org/10.5281/zenodo.15758418
- Primary Topic
- Research Data Management Practices
- Type
- article
- Field-Weighted Citation Impact
- 0.00