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Originally based on lessons developed by The Carpentries, Library Carpentry’s aim is to teach librarians, archivists, and other information workers how to automate tasks, create, maintain, and analyze sustainable and reusable data, work effectively with IT and systems colleagues, and better understand the use of software in research. Training takes place in face-to-face workshops.

Prerequisites

There are no pre-requisites, and the materials assume no prior knowledge about the tools. {: .prereq}

Data

The data used in this workshop are often in the form of bibliographic metadata and text-based data. See each lesson for the specific datasets and sources used. {: .prereq}

Overview of the lessons:

  • Introduction to Data
  • Shell Lessons
  • Introduction to Git
  • OpenRefine

Detailed structure

Part 1: Introduction to Data

There is one lesson in this section. The first half of the lesson is a question and answer activity that allows participants to explore concepts or jargon around software development and data science. The second half of the lesson explores regular expressions or pattern matching to find, manage, and transform data and files.

Part 2: Shell Lessons

This lesson includes basic information on navigating/working with files and directories, scripting, and finding things on the command line (shell).

Part 3: Introduction to Git

This lesson introduces git on the command line and moves to using GitHub to collaborate, manage, version, and share your project or repository work.

Part 4: OpenRefine

This lesson introduces OpenRefine, a software program that helps with transforming, cleaning, filtering, and analysing data files.

Other lessons

There are a number of other Library Carpentry lessons, in alpha, beta, and experimental form, that are used to supplement and tailor workshops to the local needs of the community being taught. The lessons include: