NNLM Region 1 Library Carpentry

University of Maryland, Baltimore

2024-04-09 - 2024-04-11

9:30 am - 2:30 pm Eastern Time (UTC-4)

Instructors: Oghenere Salubi, Doug Joubert, Dolsy Smith

Helpers: Christine Hislop, Lyrric Jackson, Annajiat Alim Rasel

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: Online Workshop. Get directions with OpenStreetMap or Google Maps.

When: 2024-04-09 - 2024-04-11. 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. For workshops at a physical location, the workshop organizers have checked that:

Materials will be provided in advance of the workshop and large-print handouts are available if needed by notifying the organizers in advance. If we can help making learning easier for you (e.g. sign-language interpreters, lactation facilities) please get in touch (using contact details below) and we will attempt to provide them.

Contact: Please email cnieman@hshsl.umaryland.edu , doujou.dc@gmail.com" or annajiat@gmail.com for more information.

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

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.


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

Pre-workshop Survey

Post-workshop Survey


Day 1

Before Starting Pre-workshop survey
9:00 - 9:30 Tech Setup Help (for those who need it)
9:30 - 9:35 Welcome and Code of Conduct
9:35 - 10:45 Tidy data for librarians
10:40 - 10:50 Morning Break
10:50 - 12:00 Tidy data for librarians
12:00 - 12:30 Lunch
12:30 - 1:35 Introduction to Working with Data (Regular Expressions)
1:35 - 1:45 Afternoon break
2:30 - 2:40 End Day 1 & One Up/One Down

Day 2

9:00 - 9:30 Tech Setup Help (for those who need it)
9:30 - 9:35 Welcome to Day 2
9:35 - 10:40 OpenRefine
10:40 - 10:50 Morning Break
10:50 - 12:00 OpenRefine
12:00 - 12:30 Lunch
12:30 - 1:35 OpenRefine
1:35 - 1:45 Afternoon break
1:45 - 2:30 Open Refine
2:30 - 2:34 End Day 2 & One Up/One Down

Day 3

9:00 - 9:30 Tech Setup Help (for those who need it)
9:30 - 9:35 Welcome to Day 3
9:35 - 10:50 SQL
10:50 - 11:00 Morning Break
11:00 - 11:40 SQL
11:40 - 12:40 Lunch
12:40 - 2:00 SQL
2:00 - 2:05 Afternoon break
2:05 - 2:30 SQL
2:30 - 2:45 End Day 3 and Workshop


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.


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.