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Resources for using OpenRefine: Difference between revisions
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Download OpenRefine from https://openrefine.org. | Download OpenRefine from https://openrefine.org. | ||
= | =Basic tutorials= | ||
See links below for our recommended tutorials on how to use OpenRefine. OpenRefine itself maintains a more comprehensive list of externally produced tutorials [https://github.com/OpenRefine/OpenRefine/wiki/External-Resources here], and searching on [https://www.youtube.com/results?search_query=openrefine YouTube] and [https://vimeo.com/search?q=openrefine Vimeo] will also lead to many relevant videos. | |||
* Data Carpentry lessons: [https://data-lessons.github.io/OpenRefine-nhcdata-lesson/ OpenRefine for Natural History Collection Data] and [https://datacarpentry.org/OpenRefine-ecology-lesson/ Data Cleaning with OpenRefine for Ecologists] | |||
* Library Carpentry lesson: [https://librarycarpentry.org/lc-open-refine/ OpenRefine] | |||
* [http://bit.ly/BITW13_OpenRefine OpenRefine Walk-through], step-by-step orientation by Javier Otegui using natural history museum data as a subject | |||
* [https://www.youtube.com/watch?v=wGVtycv3SS0 Clean Your Data: Getting Started with OpenRefine], a workshop recording produced by the University of Idaho Library Digital Initiatives (2017-02-15) | |||
* Handouts created for use during the 2019 VRA Annual Conference workshop, ''Clean, Transform and Enhance Your Data'': [https://docs.google.com/document/d/1Z863T411TKd1FnmKrbEAERCPHNzxj4enscjTe3OnfgM/edit?usp=sharing Download and Install OpenRefine] and [https://docs.google.com/document/d/1fH_kqo5QtrovLk63uRf4ixScMMy-jO5IikrCOeZl6JM/edit?usp=sharing Getting Started with OpenRefine] | |||
* [https://www.youtube.com/watch?v=6DIsErw8noM Data Cleaning with OpenRefine], and online short seminar organized by the Harvard Library (2020-06-25) | |||
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=Join the community= | =Join the community= | ||
There are many audiences for OpenRefine, and the best community to join is one that aligns with your usage context and skill level. The [https://bit.ly/3kqiGIR OpenRefine Google Group] is maintained by OpenRefine, and most messages posted are more technical. | There are many audiences for OpenRefine, and the best community to join is one that aligns with your usage context and skill level. The [https://bit.ly/3kqiGIR OpenRefine Google Group] is maintained by OpenRefine, and most messages posted are more technical. | ||