Towards more transparent, reproducible, and reusable data cleaning with OpenRefine

Li, Lan; Ludäscher, Bertram; Zhang, Qian

Permalink

https://hdl.handle.net/2142/103330 Copy

Description

Title

Towards more transparent, reproducible, and reusable data cleaning with OpenRefine

Author(s)

• Li, Lan
• Ludäscher, Bertram
• Zhang, Qian

Issue Date

2019-03-15

Keyword(s)

• OpenRefine
• Data cleaning
• Provenance
• Transparency
• Reproducibility
• Reusability

Date of Ingest

2019-03-22T21:34:43Z

Abstract

We study provenance features of OpenRefine, a popular data cleaning tool. In OpenRefine, provenance is available through operation histories and recipes. The former provide users with an undo/redo capability; the latter represent histories in JSON, so recipes can be reused. The model implicit in histories and recipes exhibits both prospective and retrospective provenance features, but is incomplete in at least two ways: (i) functions resulting in mass edits, and (ii) single cell edits are not captured, thus missing important prospective and retrospective provenance information, respectively. We propose to complete the missing information by capturing names and parameters of user-invoked functions, and by exposing retrospective provenance hidden in internal project files. The feasibility of the approach is demonstrated with an early prototype.

Publisher

iSchools

Series/Report Name or Number

iConference 2019 Proceedings

Type of Resource

text

Genre of Resource

Conference Poster

Language

eng

Permalink

http://hdl.handle.net/2142/103330

DOI

https://doi.org/10.21900/iconf.2019.103330

Copyright and License Information

Copyright 2019 Lan Li, Bertram Ludäscher, and Qian Zhang

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