Glossary

Key Points

Introduction	OpenRefine is a powerful and free, open source tool that can be used for data cleaning. OpenRefine will automatically track any steps you take in working with your data, and will leave your original data intact.
Opening and Exploring Data	Faceting can identify errors or outliers in data.
Transforming Data	Clustering can identify outliers in data and help us fix errors in bulk. GREL (General Refine Expression Language) is a powerful tool for transforming data.
Filtering and Sorting Data	OpenRefine provides various ways to sort and filter data without affecting the raw data.
Exporting Data Cleaning Steps	All changes are being tracked in OpenRefine (apart from individual cell changes and sorting!), and this information can be used for scripts for future analyses or reproducing an analysis. Scripts can (and should) be published together with the dataset as part of the digital appendix of the research output.
Exporting and Saving Data	Cleaned data or entire projects can be exported from OpenRefine. Projects can be shared with collaborators, enabling them to see, reproduce and check all data cleaning steps you performed.
Further Resources on OpenRefine	Other examples and resources online are good for learning more about OpenRefine
Survey

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Data Cleaning with OpenRefine: Glossary

Key Points

Glossary