7th of November 2024
9:00 am - 17:30 pm AEST
Instructors: Stéphane Guillou
Helpers: Sahitya Raja, Macbeth Corriea
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 anyone registered for ResBaz QLD 2024. You are expected to have used R, dplyr and ggplot2 before. If you need to review some important concepts, you can review the material in this introductory lesson before the workshop starts.
Where: 1100 Nudgee Rd, Banyo QLD 4014. Get directions with OpenStreetMap or Google Maps.
When: 7th of November 2024; 9:00 am - 17:30 pm AEST 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. The workshop organizers have checked that:
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 an accommodation for this workshop, please fill out the accommodation request form. If you have questions or need assistance with the accommodation 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.
Contact: Please email s.guillou@uq.edu.au 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.
Please be sure to complete these surveys before and after the workshop.
| Before starting | Pre-workshop survey |
| Morning | 09:00 - Introduction to Geospatial Raster and Vector Data with R (Part 1) |
| 11:00 - Introduction to Geospatial Raster and Vector Data with R (Part 2) | |
| Afternoon | 15:30 - Introduction to Geospatial Raster and Vector Data with R (Part 3) |
| Evening | Post-workshop survey |
| 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.
The setup instructions for the Data Carpentry Geospatial workshop can be found at the workshop overview site.