Digital Methods for Historians

Aarhus University

Mondays and Thursdays, 26 Feb - 25 Apr 2024

Mon 12:00 - 16:00 CEST | Thu 08:00 - 12:00 CEST

Instructors: Adela Sobotkova, Max Odsbjerg Pedersen

Helpers: Helle Strandgaard Jensen, Marie Louise Tørring, Lise Søndergaard Jensen, Jonas Hoff Moesgaard Jensen, Sascha Bøgebjerg, Andreas Emil Mikkelsen, Gustav Emil Ølgaard, Magnus Lindholm Nielsen

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:

Data Carpentry develops and teaches workshops on the fundamental data skills needed to conduct research. Its target audience is researchers who have little to no prior computational experience, and its lessons are domain specific, building on learners' existing knowledge to enable them to quickly apply skills learned to their own research. Participants will be encouraged to help one another and to apply what they have learned to their own research problems.

For more information on what we teach and why, please see our paper "Good Enough Practices for Scientific Computing".

Who: The course is aimed at graduate students and other researchers. You don't need to have any previous knowledge of the tools that will be presented at the workshop.

Where: Jens Skous Vej 5, 8000 Aarhus (Bygn 1481-239 to 1481-341). Get directions with OpenStreetMap or Google Maps.

When: Mondays and Thursdays, 26 Feb - 25 Apr 2024. 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. For workshops at a physical location, the workshop organizers have checked that:

Materials will be provided in advance of the workshop and large-print handouts are available if needed by notifying the organizers in advance. If we can help making learning easier for you (e.g. sign-language interpreters, lactation facilities) please get in touch (using contact details below) and we will attempt to provide them.

Contact: Please email 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.


Please be sure to complete these surveys before and after the workshop.

Pre-workshop Survey

Post-workshop Survey


Week 09

Lecture Intro to Digital Methods for Historians
Seminar Encountering Rmarkdown
Seminar Regular Expressions
Seminar Practising Regular Expressions

Week 10

Lecture Intro to Data
Seminar Data Organization in Spreadsheets
Seminar OpenRefine for Data Cleaning
Seminar Creating and streamlining data: Danish Kings and Aarhus Occupations

Week 11

Lecture Brainstorming data-driven research in History
Seminar Introduction to R
Seminar Starting with data

Week 12

Lecture Data visualisation and storytelling
Lecture Troubleshooting R
Seminar Data wrangling in tidyverse
Seminar Visualisation with ggplot

Week 16

Lecture Working with Trove API
Lecture Introduction to Mediastream API (with Max Odsbjerg)

Week 17

Lecture Research Data Management
Seminar Evaluations
Seminar Project presentations
Seminar Class wrap-up


To participate in a Data 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.

The setup instructions for the Data Carpentry Social Sciences workshops (with R) can be found at the workshop overview site.