Nov 5 & 12, 2025
9:30 am - 12:30 pm
Instructors: Bailey Hoffner, Juliet Alavicheh, Kevin Dyke
Helpers: Risa Jensen-Jones, Karl Siewert, Rebekah Silverstein
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.
Want to learn more and stay engaged with The Carpentries? Carpentries Clippings is The Carpentries' biweekly newsletter, where we share community news, community job postings, and more. Sign up to receive future editions and read our full archive: https://carpentries.org/newsletter/
Library Carpentry is made by people working in library- and information-related roles to help you:
Library Carpentry introduces you to the fundamentals of computing and provides you with a platform for further self-directed learning. For more information on what we teach and why, please see our paper "Library Carpentry: software skills training for library professionals".
Who: The course is for people working in library- and information-related roles. You don't need to have any previous knowledge of the tools that will be presented at the workshop.
Where: Online (Zoom). Get directions with OpenStreetMap or Google Maps.
When: Nov 5 & 12, 2025; 9:30 am - 12:30 pm Add to your Google Calendar.
Requirements: Participants must bring a laptop 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. The workshop organizers have checked that:
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.
Workshop Recordings: Carpentries workshops are designed to be interactive rather than lecture-based, with lessons that build upon one another. To foster a positive online learning environment, we strongly recommend that participants join in real time. As a result, workshop recordings are not recommended and may not be available to learners.
Contact: Please email danielle.kirsch@okstate.edu 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.
| Lesson 1 | Introduction to OpenRefine |
| Lesson 2 | Importing data into OpenRefine |
| Lesson 3 | Exploring Data with OpenRefine |
| Lesson 4 | Transforming Data |
| Lesson 5 | Filtering and Sorting |
| Lesson 6 | Reconciliation of Values |
| Lesson 7 | Looking Up Data |
| Lesson 8 | Exporting Data Cleaning Steps |
| Lesson 9 | Exporting and Saving Data |
| Lesson 10 | Other Resources in OpenRefine |
| Lesson 1 | Regular Expressions |
| Lesson 2 | Matching and Extracting Strings |
| Lesson 3 | Multiple Choice Quiz |
| Lesson 4 | Exercises |
To participate in a Library 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.
To interact with spreadsheets, we can use LibreOffice, Microsoft Excel, Gnumeric, OpenOffice.org, or other programs. Commands may differ a bit between programs, but general ideas for thinking about spreadsheets is the same.
For this lesson, if you don't have a spreadsheet program already, you can use [LibreOffice](https://www.libreoffice.org). It is a free, open source spreadsheet program.
LibreOffice\_X.X.X\_MacOS\_x86-64 (whichever version of LibreOffice you have selected) should have been downloaded.
Double click on this file, and LibreOffice will be installed.
Bash is a commonly-used shell that gives you the power to do simple tasks more quickly. Please find setup instructions in the lesson.
OpenRefine is a tool to clean up and organize messy data. Please find instructions to install it and the data used in the lesson in the lesson.
Git is a version control system that lets you track who made changes to what when and has options for easily updating a shared or public version of your code on https://github.com.
Follow the instructions on the lesson to install Git on your system.
You will need an account at github.com for parts of the Git lesson. Basic GitHub accounts are free. We encourage you to create a GitHub account if you don't have one already. Please consider what personal information you'd like to reveal. For example, you may want to review these instructions for keeping your email address private provided at GitHub. You will need a supported web browser.