Overview
Teaching: 10 min
Exercises: 5 minQuestions
How can we save and export our cleaned data from OpenRefine?
Objectives
Save an OpenRefine project.
Export cleaned data from an OpenRefine project.
In OpenRefine you can save or export the project. This means you’re saving the data and all the information about the cleaning and data transformation steps you’ve done. Once you’ve saved a project, you can open it up again and be just where you stopped before.
By default OpenRefine is saving your project. If you close OpenRefine and open it up again, you’ll see a list of your projects. You can click on any one of them to open it up again.
You can also export a project. This is helpful, for instance, if you wanted to send your raw data and cleaning steps to a collaborator, or share this information as a supplement to a publication.
Export
button in the top right and select Export project
.tar.gz
file will download to your default Download
directory. The tar.gz
extension tells you that this is a compressed file.
Which means that this file contains multiple files. You can double-click on the tar.gz
file and it will expand into a directory. A
folder icon will now appear.Solution
You should see:
- a
history
folder which contains threezip
files. Each of these files itself contains achange.txt
file. Thesechange.txt
files are the records of each individual transformation that you did to your data.- a
data.zip
file. When expanded, thiszip
file includes a file calleddata.txt
which is a copy of your raw data. You may also see other files.
You can import an existing project into OpenRefine by clicking Open...
in the upper right > Import Project
and selecting the tar.gz
project file. This project will include all of the raw data and cleaning steps that were part of the origina project.
You can also export just your cleaned data, rather than the entire project.
Export
in the top right and select the file type you want to export the data in. Tab-separated values
(tsv
) or Comma-separated values
(csv
) would be good choices.Download
directory. That file can then be opened in a spreadsheet program or imported
into programs like R or Python, which we’ll be discussing later in our workshop.Remember from our lesson on Spreadsheets that using widely-supported, non-proprietary file formats like tsv
or csv
improves the ability of yourself and others to use your data.
Key Points
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.