Text mining a museum collection in tabular format to extract from which year most objects derive and what they are. ## Associated Tutorial This workflows is part of the tutorial [OpenRefine Tutorial for researching cultural data](https://training.galaxyproject.org/training-material/topics/digital-humanities/tutorials/open-refine-tutorial/tutorial.html), available in the [GTN](https://training.galaxyproject.org) ## Features * Includes [Galaxy Workflow Tests](https://training.galaxyproject.org/training-material/faqs/gtn/workflow_run_test.html) * Includes a [Galaxy Workflow Report](https://training.galaxyproject.org/training-material/faqs/galaxy/workflows_report_view.html) ## Thanks to... **Workflow Author(s)**: Daniela Schneider **Tutorial Author(s)**: [Diana Chiang Jurado](https://training.galaxyproject.org/training-material/hall-of-fame/dianichj/), [Armin Dadras](https://training.galaxyproject.org/training-material/hall-of-fame/dadrasarmin/), [Daniela Schneider](https://training.galaxyproject.org/training-material/hall-of-fame/Sch-Da/) **Grants(s)**: [NFDI4Culture – Consortium for Research Data on Material and Immaterial Cultural Heritage](https://training.galaxyproject.org/training-material/hall-of-fame/nfdi4culture/) [](https://training.galaxyproject.org/training-material/)