January 2026 Library Carpentry Workshop

Smithsonian Institution

Online

Jan 27-30, 2026

1:00 pm - 4:30 pm EST

Instructors: Corey DiPietro, Kristina Cottingham, Richard Naples, Mike Trizna

Helpers: Crystal Sanchez, Vanessa Gonzalez, Jennifer Giaccai, Mike Trizna, Richard Naples, Adam Soroka

General Information

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: This training will take place online. The instructors will provide you with the information you will need to connect to this meeting.

When: Jan 27-30, 2026; 1:00 pm - 4:30 pm EST 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.

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 naplesr@si.edu for more information.

Roles: To learn more about the roles at the workshop (who will be doing what), refer to our Workshop FAQ.

Who can attend?: This workshop is open to those with Smithsonian Institution affiliation and those who get in touch with us.


Code of Conduct

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.


Collaborative Notes

We will use this collaborative document for chatting, taking notes, and sharing URLs and bits of code.


Surveys

Please be sure to complete these surveys before and after the workshop.

Pre-workshop Survey

Post-workshop Survey


Schedule

Tuesday, Jan 27, 2026: Tidy Data for Librarians

Register for Tuesday

Before Starting Pre-workshop survey
13:00 START
14:15 Break 1 (15 mins)
15:30 Break 2 (15 mins)
16:30 END

Wednesday, Jan 28, 2026: Introduction to Regular Expressions

Register for Wednesday

13:00 START
14:15 Break 1 (15 mins)
15:30 Break 2 (15 mins)
16:30 END

Thursday, Jan 29, 2026: OpenRefine

Register for Thursday

13:00
14:15 Break 1 (15 mins)
15:30 Break 2 (15 mins)
16:30 END

Friday, Jan 30, 2026: GitHub without the Command Line

Register for Friday

13:00
14:15 Break 1 (15 mins)
15:30 Break 2 (15 mins)
16:30 END
After Finishing Post-workshop survey

Setup

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.

Install the videoconferencing client

If you haven't used Zoom before, go to the official website to download and install the Zoom client for your computer.

Set up your workspace

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:

This blog post includes detailed information on how to set up your screen to follow along during the workshop.

Spreadsheet Software

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.

Windows

Mac OS

Linux

OpenRefine

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.

GitHub

You will need an account at github.com for parts of the GitHub lesson. Basic GitHub accounts are free. We encourage you to create a GitHub account if you don't have one already.