Library Carpentry

Course outline for Library Carpentry Training

Course overview

Library Carpentry workshops teach introductory software and data skills with a focus on the needs and requirements of library and information professionals. 

During the workshop, participants will learn the fundamentals of working with data and regular expressions, data cleaning and preparation for further analysis, finding and working with data files from the command line shell, and managing files using version control.

Workshop will be delivered online (via Zoom) over 2 days in an interactive and informal setting where participants will code along live with instructors and will have the opportunity to have many of their questions answered.

Please refer to the workshop website for:

  • detailed schedule and training materials
  • installations instructions and prerequisites for attending the workshop
  • pre-workshop surveythat should be completed by participants


Participants must commit to both days of the course and have the correct technology to participate.

Intended audience

This course is aimed at any healthcare knowledge and library services staff who have an interest in developing and using software and data skills. 

Learning outcomes

By the end of the session participants will learn how to: 

  • Cut through the jargon terms and phrases of software development and data science
  • Apply concepts from these fields in library tasks
  • Identify and use best practices in data structures
  • Programmatically transform and map data from one form to another
  • Work effectively with researchers, IT, and systems colleagues
  • Automate repetitive, error prone tasks.

PKSB areas covered

2.1 Data management

2.4 Data engineering

2.5 Data architecture

2.8 Data literacy

13.2 Exploiting technology

13.4 System design and development of systems

Wider Library, Information and Knowledge Sector Context

Course facilitators

Various facilitators participate in delivering this workshop including:

Jez Cope

Page last reviewed: 16 November 2021
Next review due: 30 November 2022