Online
8 May 2025
1 - 3 pm NZST
Instructors: Murray Cadzow
Helpers: Justin Farquhar, Brooke Whitelaw
The Carpentries project comprises the Software Carpentry, Data Carpentry, and Library Carpentry communities of Instructors, Trainers, Maintainers, helpers, and supporters who share a mission to teach foundational computational and data science skills to researchers.
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Data Carpentry develops and teaches workshops on the fundamental data skills needed to conduct research. Its target audience is researchers who have little to no prior computational experience, and its lessons are domain specific, building on learners' existing knowledge to enable them to quickly apply skills learned to their own research. Participants will be encouraged to help one another and to apply what they have learned to their own research problems.
For more information on what we teach and why, please see our paper "Good Enough Practices for Scientific Computing".
Who: The course is aimed at graduate students and other researchers. You don't need to have any previous knowledge of the tools that will be presented at the workshop.
Where: This training will take place online. The instructors will provide you with the information you will need to connect to this meeting.
When: 8 May 2025; 1 - 3 pm NZST Add to your Google Calendar.
Requirements: Participants must have access to a computer with a Mac, Linux, or Windows operating system (not a tablet, Chromebook, etc.) that they have administrative privileges on. They should have a few specific software packages installed (listed below).
Accessibility: We are committed to making this workshop accessible to everybody.
We are dedicated to providing a positive and accessible learning environment for all. We do not require participants to provide documentation of disabilities or disclose any unnecessary personal information. However, we do want to help create an inclusive, accessible experience for all participants. We encourage you to share any information that would be helpful to make your Carpentries experience accessible. To request an accommodation for this workshop, please fill out the accommodation request form. If you have questions or need assistance with the accommodation form please email us.
Glosario is a multilingual glossary for computing and data science terms. The glossary helps learners attend workshops and use our lessons to make sense of computational and programming jargon written in English by offering it in their native language. Translating data science terms also provides a teaching tool for Carpentries Instructors to reduce barriers for their learners.
Contact: Please email murray.cadzow@otago.ac.nz for more information.
Roles: To learn more about the roles at the workshop (who will be doing what), refer to our Workshop FAQ.
Everyone who participates in Carpentries activities is required to conform to the Code of Conduct. This document also outlines how to report an incident if needed.
Please be sure to complete these surveys before and after the workshop.
Before starting | Pre-workshop survey |
1pm | OpenRefine for Data Cleaning |
Evening | END |
After Workshop | Post-workshop survey |
To participate in a Data Carpentry workshop, you will need access to software as described below. In addition, you will need an up-to-date web browser.
We maintain a list of common issues that occur during installation as a reference for instructors that may be useful on the Configuration Problems and Solutions wiki page.
If you haven't used Zoom before, go to the official website to download and install the Zoom client for your computer.
Like other Carpentries workshops, you will be learning by "coding along" with the Instructors. To do this, you will need to have both the window for the tool you will be learning about (a terminal, RStudio, your web browser, etc..) and the window for the Zoom video conference client open. In order to see both at once, we recommend using one of the following set up options:
You can download all of the data used in this workshop by clicking this download link. The file is 38.4 MB.
Clicking the download link will automatically download all of the
files to your default download directory as a single compressed
(.zip
) file. To expand this file, double click the folder
icon in your file navigator application (for Macs, this is the Finder
application).
For a full description of the data used in this workshop see the data page.
OpenRefine is a Java program that runs on your local machine (not on the cloud). Although it displays in your browser, no web connection is needed and your data remains local. You need to have a ‘Java Runtime Environment’ (JRE) installed on your computer to run OpenRefine. If you don’t already have one installed and are running Windows, then you can download the “Windows kit with embedded Java” version from the downloads page. You can also download and install Java from https://java.com by going to the site and clicking “Free Java Download”.
To install OpenRefine, go to their download page. From the download page, select either “Windows kit”, “Mac kit”, or “Linux kit” - depending on your operating system - and follow the instructions next to your download link. This lesson has been tested with the recent versions of OpenRefine, at least 3.4.1. If you are using an older version, it is recommended you upgrade to the latest tested version.
You may get an error message: “OpenRefine.app can’t be opened because it is from an unidentified developer.” If you get this message, open your system preferences and click “Security & Privacy”. You will see a message “OpenRefine.app was blocked from opening because it is from an unidentified developer.” Click “Open Anyway” and “Yes”. OpenRefine should open in your default web browser.
OpenRefine does not support Internet Explorer or Edge. Please use Firefox, Chrome or Safari instead.
Congratulations! You are now ready for the workshop!