Online
Jul 21-24, 2026
13:00 - 16:30 BST
Instructors: Juan Herrera, Evgenij Belikov
Helpers: TBD
Please use the ARCHER2 course registration form to sign up for the workshop.
The Carpentries project comprises the Data Carpentry, High Performance Computing Carpentry, Library Carpentry, and Software Carpentry communities of Instructors, Trainers, Maintainers, helpers, and supporters who share a mission to teach foundational computational and data science skills to researchers.
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.
Everyone who participates in Carpentries activities is required to conform to the Code of Conduct, which also outlines how to report an incident if needed.
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.
This training will take place online. The instructors will provide you with the information you will need to connect to this meeting.
Jul 21-24, 2026; 13:00 - 16:30 BST Add to your Google Calendar.
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).
We are committed to making this workshop accessible to everybody.
We are dedicated to providing a positive and accessible learning environment for all. We do not require participants to provide documentation of disabilities or disclose any unnecessary personal information. However, we do want to help create an inclusive, accessible experience for all participants. We encourage you to share any information that would be helpful to make your Carpentries experience accessible. To request accessibility support for this workshop, please fill out the accessibility support request form. If you have questions or need assistance with the accessibility support form please email us.
Glosario is a multilingual glossary for computing and data science terms. The glossary helps learners attend workshops and use our lessons to make sense of computational and programming jargon written in English by offering it in their native language. Translating data science terms also provides a teaching tool for Carpentries Instructors to reduce barriers for their learners.
Carpentries workshops are designed to be interactive rather than lecture-based, with lessons that build upon one another. To foster a positive online learning environment, we strongly recommend that participants join in real time. Nevertheless, workshop recordings may be available to learners.
Please email training@epcc.ed.ac.uk for more information.
For answers to frequently asked questions about workshops, refer to the Carpentries Workshop FAQ.
We will use this collaborative document for chatting, taking notes, and sharing URLs and bits of code.
Please fill out this survey before attending the workshop.
Fill Out the Pre-Workshop SurveyPlease fill out this survey before you leave the workshop.
Fill Out the Post-Workshop Survey| 13:00 | Pre-workshop Survey and Setup |
| 13:30 | Data Organization in Spreadsheets |
| 14:30 | break |
| 15:00 | OpenRefine for Data Cleaning |
| 16:30 | END |
| 13:00 | Introduction to R |
| 14:30 | break |
| 15:00 | Introduction to R (Continued) |
| 16:30 | END |
| 13:00 | Continuation of R: Data analysis and Visualization |
| 14:30 | break |
| 15:00 | Continuation of R: Data analysis and Visualization (Continued) |
| 16:30 | END |
| 13:00 | Data Management with SQL |
| 14:30 | break |
| 15:00 | ARCHER2 course feedback and Post-workshop Survey |
| 15:15 | Data Management with SQL (Continued) |
| 16:30 | 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.
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.
We will use Blackboard Collaborate. An up-to-date web browser (Chrome, Edge, or Safari) is needed. Firefox works fine if you install UASwitcher addon and tell it to identify the browser as Google Chrome for URLs starting with https://eu.bbcollab.com/ when we have tried it. Quicklinks for getting started in Collaborate.
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:
The setup instructions for the Data Carpentry Ecology workshops (with R) can be found at the workshop overview site.