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Our series website

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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:

automate repetitive, boring, error-prone tasks

create, maintain and analyze sustainable and reusable data

work effectively with IT and systems colleagues

better understand the use of software in research

and much more...

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".

This is a pilot workshop, testing out a lesson that is still under development. The lesson authors would appreciate any feedback you can give them about the lesson content and suggestions for how it could be further improved.

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.

Registration: Kindly follow the links to register Day 1: DMP & Tidy Data , Day 2: OpenRefine , Day 3: Introduction to AI for GLAM

Where: BU 118, Buley Library. Get directions with OpenStreetMap or Google Maps.

When: Oct. 17th, Oct. 31st, and Nov. 5th 2025; 09:30 - 15:00 (ET) 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:

The room is wheelchair / scooter accessible.

Accessible restrooms are available.

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 hedreenr1@southernct.edu or salubio1@southernct.edu 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.

Report a Code of Conduct Incident

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

Day 1

Day 2

Day 3

The lesson taught in this workshop is being piloted and a precise schedule is yet to be established. The workshop will include regular breaks. Please contact the workshop organisers if you would like more information about the planned schedule.

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.

<div id=""spreadsheets-setup">

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

Download the Installer: Install LibreOffice by going to theinstallation page. The version for Windows should automatically be selected. ClickDownload. You will go to a page that asks about a donation, but you don't need to make one. Your download should begin automatically.

Install LibreOffice: Once the installer is downloaded, double click on it and it should install.

Mac OS

Download the Installer: Install LibreOffice by going to theinstallation page. The version for Mac OS should automatically be selected. ClickDownload. You will go to a page that asks about a donation, but you don't need to make one. Your download should begin automatically.

Install LibreOffice: The fileLibreOffice\_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.

Linux

Download the Installer: Install LibreOffice by going to theinstallation page. The version for Linux should automatically be selected. ClickDownload. You will go to a page that asks about a donation, but you don't need to make one. Your download should begin automatically.

Install LibreOffice: Once the installer is downloaded, double click on it and it should install.

The Bash Shell

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

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

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.

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Southern Connecticut State University with support from Office of Faculty Development: Oct. 17th, Oct. 31st, and Nov. 5th 2025

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Good overview of data literacy skills

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Decoding Data: A Crash Course in Smart Data Skills

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Watch this recording of a fast, fun virtual workshop that breaks down what data literacy is, why it matters in every field, and how to tell good info from bad stats.

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Using OpenRefine to scrape a LibGuide to import metadata into another platform

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Authors Hanwen Dong University of Idaho https://orcid.org/0000-0001-9742-6347 Perri Moreno Tyler Rodrigues Julia Stone

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Enhancing Discoverability: Transitioning a Board Game Collection from a LibGuide to a CollectionBuilder Site | Information Technology and Libraries

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As board game collections continue to grow in popularity at academic institutions, the University of Idaho Library wanted to establish an accessible and easy-to-use discovery tool for its physical game collection. At the collections’ origins, a LibGuide was created by librarians for this purpose, but as the collection records continued to grow into the triple digits, something more adaptable and customizable was necessary. In the summer of 2023, a team of librarians came together to build a custom site to house the game collection’s information using CollectionBuilder, an open-source framework for digital collections and exhibits websites that are driven by metadata and powered by modern static web technology. Creating this site came with unique challenges and considerations specific to the University of Idaho Library’s needs in displaying their board games. CollectionBuilder’s ability to support iterative and agile development, ample instructional documentation, and seemingly endless customizations makes it a suitable solution for a growing and changing collection discovery tool.

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Data use article - mentions tidying data before analysis

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Keywords:
budgeting, finance, data visualization

Abstract

This paper presents a case study about opportunities for libraries to elevate reporting on their organization's financial status, transactions, and available funds using data visualization, specifically with Power BI, based on work at University of Oregon Libraries. The Power BI dashboard aggregates data from the university's financial system and integrated library system to provide a consolidated view, and to tell the library's story in a more engaging way. The author proposes using this type of business intelligence technology to provide a transformative impact on financial operations of libraries.

Author Biography

Lydia Harlan, University of Oregon Libraries

Lydia Harlan is the Budget Analyst for Collections, Discovery, and Digital Strategy at University of Oregon Libraries. A librarian by training and budget analyst by circumstance, she holds an MLIS from San Jose State University and a BA in film from Emerson College.

References

John W. Tukey, Exploratory Data Analysis (Reading, MA: Addison-Wesley, 1977).

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Weed Your Budget: Visualizing an Academic Library’s Financial Position | Information Technology and Libraries

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This paper presents a case study about opportunities for libraries to elevate reporting on their organization’s financial status, transactions, and available funds using data visualization, specifically with Power BI, based on work at University of Oregon Libraries. The Power BI dashboard aggregates data from the university’s financial system and integrated library system to provide a consolidated view, and to tell the library’s story in a more engaging way. The author proposes using this type of business intelligence technology to provide a transformative impact on financial operations of libraries.