<commit_before>---
layout: page
authors: ["<NAME>", "<NAME>", "<NAME>"]
title: "Integration and reuse of Library Carpentry content into curricula"
teaser: "The Library Carpentry lessons are fantastic resources for teaching students."
date: 2021-03-08
tags: ["Library Carpentry", "The Carpentries", "The University of Arizona", "Simmons University", "TH Köln", "Curricula" "Data Science", "Data Skills", "Workshops", "Lessons"]
category: ["blog"]
---


By [<NAME>](https://twitter.com/jcoliveraz), [<NAME>](https://twitter.com/jgolds2) and [<NAME>](https://twitter.com/konradfoerstner)

There is a growing need to teach students professional data handling
skills. Luckily, nobody has to start from scratch for this. While the
lessons of The Carpentries including the Library Carpentry lesson
program are designed to be taught as defined combinations in two-day
workshops, they can be reused in other contexts. In this blog post
members of the Library Carpentry community describe how they include
Library Carpentry lessons in academic curricula and use the training
methods to teach computational skills to students.

## The University of Arizona (<NAME>)

New graduate students have considerable variation in their experience
dealing with data. While some incoming students may have had prior
research opportunities, many have not collected data, let alone
developed experience in data collection pipelines and workflows. Many
graduate programs have an implicit expectation of skills in the storage
and manipulation of tabular data, but few programs explicitly assess or<commit_msg>Add missing comma<commit_after>---
layout: page
authors: ["<NAME>", "<NAME>", "<NAME>"]
title: "Integration and reuse of Library Carpentry content into curricula"
teaser: "The Library Carpentry lessons are fantastic resources for teaching students."
date: 2021-03-08
tags: ["Library Carpentry", "The Carpentries", "The University of Arizona", "Simmons University", "TH Köln", "Curricula", "Data Science", "Data Skills", "Workshops", "Lessons"]
category: ["blog"]
---


By [<NAME>](https://twitter.com/jcoliveraz), [<NAME>](https://twitter.com/jgolds2) and [<NAME>](https://twitter.com/konradfoerstner)

There is a growing need to teach students professional data handling
skills. Luckily, nobody has to start from scratch for this. While the
lessons of The Carpentries including the Library Carpentry lesson
program are designed to be taught as defined combinations in two-day
workshops, they can be reused in other contexts. In this blog post
members of the Library Carpentry community describe how they include
Library Carpentry lessons in academic curricula and use the training
methods to teach computational skills to students.

## The University of Arizona (<NAME>)

New graduate students have considerable variation in their experience
dealing with data. While some incoming students may have had prior
research opportunities, many have not collected data, let alone
developed experience in data collection pipelines and workflows. Many
graduate programs have an implicit expectation of skills in the storage
and manipulation of tabular data, but few programs explicitly assess or
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