ARCHER2 Data Carpentry

EPCC, The University of Edinburgh


Apr 24-27, 2023

09:30 - 13:00

Instructors: Juan Herrera

Helpers: Rui Apostolo

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".

This workshop is provided by EPCC and organised in collaboration with ARCHER2. ARCHER2, the UK's national supercomputing service, offers training in software development and high-performance computing to scientists and researchers across the UK. As part of our training service, we are running a Data Carpentry workshop.

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: This training will take place online. The instructors will provide you with the information you will need to connect to this meeting.

When: Apr 24-27, 2023. Add to your Google Calendar.

Requirements: Participants must have access to a computer 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 dedicated to providing a positive and accessible learning environment for all. Please notify the instructors in advance of the workshop if you require any accommodations or if there is anything we can do to make this workshop more accessible to you.

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.

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 the workshop:

Pre-workshop Survey

Please be sure to complete these surveys after the workshop:

ARCHER2 course feedback

Post-workshop Survey


Mon, 24 April 2023

09:30 Pre-workshop Survey and Setup
10:00 Data Organization in Spreadsheets
11:00 Morning break
11:30 OpenRefine for Data Cleaning
13:00 END

Tue, 25 April 2023

09:30 Introduction to R
11:00 Morning break
11:30 Introduction to R (Continued)
13:00 END

Wed, 26 April 2023

09:30 Continuation of R: Data analysis and Visualization
11:00 Morning break
11:30 Continuation of R: Data analysis and Visualization (Continued)
13:00 END

Thu, 27 April 2023

09:30 Data Management with SQL
11:00 Morning break
11:30 ARCHER2 course feedback and Post-workshop Survey
11:45 Data Management with SQL (Continued)
13:00 END


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.

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

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.

Install the videoconferencing client

We will use Blackboard Collaborate. An up-to-date web browser is needed. Further help can be found on the Collaborate Ultra Help for Participants page.

Set up your workspace

Like other Carpentries workshops, you will be learning by "coding along" with the Instructors. To do this, you will need to have both the window for the tool you will be learning about (a terminal, RStudio, your web browser, etc..) and the window for the Zoom video conference client open. In order to see both at once, we recommend using one of the following set up options:

This blog post includes detailed information on how to set up your screen to follow along during the workshop.