OpenRefine: An Approachable Open Tool to Clean Research Data

Meg Miller; Natalie Vielfaure

doi:10.15353/acmla.n170.4873

OpenRefine: An Approachable Open Tool to Clean Research Data

Authors

Meg Miller University of Manitoba
Natalie Vielfaure University of Manitoba

DOI:

https://doi.org/10.15353/acmla.n170.4873

Abstract

This review provides an overview of data cleaning tools and discusses why and how OpenRefine has been an effective tool in the delivery of one-shot instructional sessions on data cleaning in an academic library context.

Author Biographies

Meg Miller, University of Manitoba

Meg Miller, GIS & Data Visualization Librarian, University of Manitoba:

Natalie Vielfaure, University of Manitoba

Natalie Vielfaure, Digital Curation Archivist, University of Manitoba

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Published

2022-03-23

How to Cite

Miller, M., & Vielfaure, N. (2022). OpenRefine: An Approachable Open Tool to Clean Research Data. Bulletin - Association of Canadian Map Libraries and Archives (ACMLA), (170). https://doi.org/10.15353/acmla.n170.4873

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Issue

No. 170 (2022): ACMLA Bulletin Winter Issue 170

Section

Geospatial Data and Software Reviews

License

Authors retain the copyright to their work by using Creative Commons licenses. The Creative Commons Attribution-NonCommercial license applies to all content unless authors elect to choose a more restrictive license for their work. If you reuse the content, you must give appropriate credit; you may not use or redistribute the material for commercial purposes.