What question did this study set out to answer?

The aim is to introduce OpenRefine as a user-friendly tool for cleaning messy tabular data in research contexts.

January 25, 2026Open Access

OpenRefine I: Cleaning Messy Data with Ease

Key Points

The aim is to introduce OpenRefine as a user-friendly tool for cleaning messy tabular data in research contexts.
Hands-on demonstration of OpenRefine functionalities
Exploration of basic features like facets and filtering
In-depth look at complex features such as clustering and merging
Use of a dedicated training dataset from the BGBM Herbarium
Participants gain familiarity with OpenRefine's interface and basic functions
Insights are provided into the advanced capabilities of data cleaning
The session caters to both novice and experienced users, emphasizing accessibility

Abstract

This presentation was given during the WiNoDa winter school, a five-day intensive course on the topic of Research with Natural Science Collections. Data, Quality, and Methods from 24-28 November 2025. Organization: German Federation for Biological Data e.V. (GFBio) with support from the Museum für Naturkunde Berlin (MfN), German Archaeological Institute (DAI), Vernetzungs- und Kompetenzstelle Open Access Brandenburg (VuK) Abstract: OpenRefine is a tool to clean tabular data and that runs on one’s own computer and can be used via the browser. In this hands-on, we will first get familiar with the tool by taking a look at the basic functionalities such as Facets note any sensitivity): Dedicated training dataset: a subset of the BGBM Herbarium, https://doi.org/10.5281/zenodo.14918375

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Cite This Study

David Fichtmueller (Wed,) studied this question.

synapsesocial.com/papers/6975b38dfeba4585c2d6f10b https://doi.org/https://doi.org/10.5281/zenodo.18327566

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