Data Carpentry for Social Sciences & Humanities

Leiden University, TU Delft, Erasmus University Rotterdam, VU Amsterdam

Feb 20, 21, 23, 24, 2023

9:00 am - 1:00 pm CEST

Instructors: Aleksandra Wilczynska, Ben Companjen, Bjørn Bartholdy, Eduard Klapwijk, Kristina Hettne

Helpers: Aleksandra Wilczynska, Anna Volkova, Ben Companjen, Bjørn Bartholdy, Claudiu Forgaci, Eduard Klapwijk, Esther Plomp, Femke Elsen, Joanna Mania, Koen Leuveld, Kristina Hettne, Meron Vermaas, Paula Martinez Lavanchy, Stephanie van de Sandt

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General Information

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.

When: Feb 20, 21, 23, 24, 2023. 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 or for more information.

Roles: To learn more about the roles at the workshop (who will be doing what), refer to our Workshop FAQ.

Who can attend?: This workshop is open to affiliates to Leiden University, TU Delft, Erasmus University Rotterdam, and VU Amsterdam.

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.

Collaborative Notes

We will use this collaborative document for chatting, taking notes, and sharing URLs and bits of code.


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

Pre-workshop Survey

Post-workshop Survey


Day 1: Monday 20 February

Before starting Pre-workshop survey
9:00 Welcome and introduction
9:15 Data Organization in Spreadsheets
10:30 Break
10:45 OpenRefine for Data Cleaning
11:45 Break
12:00 OpenRefine (continued) or start with introduction to R
13:00 END

Day 2: Tuesday 21 February

9:00 Welcome and introduction
9:15 Introduction to R
10:30 Break
10:45 Introduction to R (continued)
11:45 Break
12:00 Starting with Data in R
13:00 END

Day 3: Thursday 23 February

9:00 Welcome and introduction
9:15 Starting with Data (continued)
10:30 Break
10:45 Data Wrangling in R
11:45 Break
12:00 Data Wrangling in R (continued)
13:00 END

Day 4: Friday 24 February

9:00 Welcome and introduction
9:15 Introduction to R Markdown
10:30 Break
10:45 Data Visualisation in R with ggplot
11:45 Break
12:00 Data Visualisation (continued)
12:55 Wrap-up
End Post-workshop survey


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.