Online
Jul 18-21, 2022
09:30 - 13:00
Instructors: Juan Herrera
Helpers: Eleanor Broadway, William Lucas, Caoimhin Laoide-Kemp, Kevin Stratford
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. This workshop is part-funded by the PRACE project.
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: Jul 18-21, 2022. 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 support@archer2.ac.uk for more information.
Roles: To learn more about the roles at the workshop (who will be doing what), refer to our Workshop FAQ.
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.
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:
Please be sure to complete these surveys after the workshop:
| 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 |
| 09:30 | Introduction to R |
| 11:00 | Morning break |
| 11:30 | Introduction to R (Continued) |
| 13:00 | END |
| 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 |
| 09:30 | Data Management with SQL |
| 11:00 | Morning break |
| 11:30 | PRACE 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.
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 is needed. Further help can be found on the Collaborate Ultra Help for Participants page.
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.