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Library Carpentry Lessons

Our Core Objectives

Library Carpentry workshops teach people working in library- and information-related roles how to:

  • Cut through the jargon terms and phrases of software development and data science and apply concepts from these fields in library tasks;
  • Identify and use best practices in data structures;
  • Learn how to programmatically transform and map data from one form to another;
  • Work effectively with researchers, IT, and systems colleagues;
  • Automate repetitive, error prone tasks.
  • Lesson materials are all available online, under a CC BY license, for self-directed study or for adaptation and re-use (as “Carpentries-based” training).

Core Curriculum

Our Core Curriculum consists of the lessons in the table below. These have been taught many times, and have been further refined after instructor and learner feedback. For more information regarding core lessons and workshops across The Carpentries, visit The Carpentries workshops page.

The lessons introduce terms, phrases, and concepts in software development and data science, how to best work with data structures, and use regular expressions in finding and matching data. We introduce the Unix-style command line interface, and teach basic shell navigation, as well as the use of loops and pipes for linking shell commands. We also introduce grep for searching and subsetting data across files. Exercises cover the counting and mining of data. In addition, we cover working with OpenRefine to transform and clean data, and the benefits of working collaboratively via Git/GitHub and using version control to track your work.

LessonSiteRepositoryReferenceInstructor NotesStatusMaintainers
Tidy DataStableMarco Chiapello, Jesse Johnston
Introduction to Working with Data (Regular Expressions)StableFreddy Chia, Kevin French
The UNIX ShellStableJamie Jamison, Kaitlin Newson
OpenRefineStableRoman Kuhn, Max Prud'homme, Owen Stephens, Jennifer Stubbs
Introduction to GitStableSeth Erickson, Elizabeth McAulay

Extended Curriculum

The following Library Carpentry lessons can also be taught in addition to our core curriculum. Some of the lessons have been taught infrequently and still need further work. We would value any feedback on these lessons.

LessonSiteRepositoryReferenceInstructor NotesStatusMaintainers
SQLStableJulika Mimkes, Annajiat Alim Rasel
Introduction to PythonAlphaCody Hennesy, Tim Dennis
Introduction to Data for ArchivistsAlphaKatherine Koziar*
Introduction to RAlphaJia Qi Beh, Tim Dennis
MarcEditAlphaJennifer Eustis*, Abigail Sparling*, Owen Stephens (looking for Maintainers)
Intro to AI for GLAMBetaMark Bell, Nora McGregor, Daniel van Strien, Mike Trizna
DMP Course for LibrariansAlphaLena Bohman, Marla Hertz, Daria Orlowska

Retired Curriculum

The following Library Carpentry lessons are no longer maintained. There may be include out-of-date instructions or references but content in these lessons could still be useful. You may reach out to the Curriculum Advisory Committee if you are interested in restarting these lessons and becoming a new Maintainer.

LessonSiteRepositoryReferenceInstructor NotesStatusMaintainers
Top 10 FAIR Data & Software ThingsRetired
WebscrapingRetiredThomas Guignard
Workshop OverviewRetiredElizabeth McAulay

Conceptual Curriculum

The following lessons are conceptual (pre-alpha) and are currently being discussed and/or under development. Issues/pull requests are one way to see current activity but you can also reach out to the Maintainers to see where the lesson discussions/development are at.

LessonSiteRepositoryReferenceInstructor NotesStatusMaintainers
WikidataConceptualRabea Müller
FAIR Data & SoftwareConceptual