We are organizing an OpenRefine community call focused on concrete uses of the OpenRefine LLM Extension.
This session is intended for anyone interested in using LLMs with OpenRefine. The goal is to show practical examples of how the extension can support data-wrangling workflows, including use cases from data journalism and library metadata work.
- Date and time: 2026-07-07T12:00:00Z → 2026-07-07T13:30:00Z
- Facilitator: @Martin
- Presenters: @h_piedcoq @psm @Sunil_Natraj
- Optional registration to receive a reminder
- Zoom link
This session will be recorded and shared on YouTube.
Session Overview
The OpenRefine LLM Extension makes it possible to call large language models in OpenRefine workflows. The session will show two examples of how LLMs are used in journalism and GLAM use cases, including:
- Preparing and transforming data for journalistic work
- Exploring library-specific metadata workflows
- Using local or external providers, including Ollama and other LLM services
- Identifying what works well and what still needs improvement
Questions from users, trainers, extension developers, and contributors are welcome.
Agenda
- Short introduction of each participant
- Community announcements
- Demo by @h_piedcoq based on his DataHarvest 2026 tutorial, with a focus on data journalism workflows
- Demo by @psm on the use of OpenRefine with the AI plugin for library-specific purposes, including integrations with Ollama and other providers
- Questions and discussion with @Sunil_Natraj, developer of the OpenRefine LLM Extension