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

Auteurs-es

Meg Miller University of Manitoba
Natalie Vielfaure University of Manitoba

DOI :

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

Résumé

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.

Bibliographies de l'auteur-e

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

Téléchargements

PDF (English)

Publié-e

2022-03-23

Comment citer

Miller, M., & Vielfaure, N. (2022). OpenRefine: An Approachable Open Tool to Clean Research Data. Bulletin De l’Association Des cartothèques Et Archives Cartographiques Du Canada(ACACC), (170). https://doi.org/10.15353/acmla.n170.4873

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Numéro

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

Rubrique

Geospatial Data and Software Reviews

Licence

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.