Instructors: Ben Tupper, Johnathan Evanilla, Julia Brown, Nick Record
Helpers: Aislyn Keyes
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.
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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 students and researchers. You don't need to have any previous knowledge of the tools that will be presented at the workshop.
Where: online at https://bigelow.zoom.us/j/2073152564. If you need a password or other information to access the training, the instructor will pass it on to you before the workshop.
When: Monday Afternoons from July 8th to July 29th, 2024.
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. 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.
Contact: Please email julia@bigelow.org for more information.
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 and after the workshop.
| Before | Pre-workshop survey |
| July 1 1-3:00pm | Optional R installation help with Ben Tupper at the workshop zoom link |
| July 8 1-2:30pm | Data Organization in Spreadsheets |
| July 8 2:30-4:00pm | Introduction to R and RStudio |
| Day 1 Recording | Spreadsheets and Intro to R Studio Recording |
| July 15 | Data visualization with ggplot2 |
| Day 2 Recording | Recording of Data Visualization with ggplot2 |
| July 22 | Exploring and understanding data |
| Day 3 Recording | Recording of Exploring and Understanding Data |
| July 29 | Working with data |
| Day 4 Recording | Recording of Working with Data |
| After | 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.
If you haven't used Zoom before, go to the official website to download and install the Zoom client for your computer.
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. Note that we will be covering introduction to spreadsheets and the R modules, so you only need to install R and RStudio, and to make sure you have a working spreadsheet program such as Microsoft Excel. Please ignore instructions for installation of OpenRefine and SQLite.