General Information
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 aims to help researchers get their work done in less time and with less pain by teaching them basic research computing skills. This hands-on workshop will cover basic concepts and tools, including program design, version control, data management, and task automation. 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 "Best Practices for Scientific Computing".
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: DFL Training Hall, Faculty of Arts and Humanities, Jazan University, SA. Get directions with OpenStreetMap or Google Maps.
When: Nov 06, 2024; 9:00 am - 12:00 pm UTC+3 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:
- The room is wheelchair / scooter accessible.
- Accessible restrooms are available.
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 adallak@jazanu.edu.sa 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.
Surveys
Please be sure to complete these surveys before and after the workshop.
Setup
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.
R
R is a programming language that is especially powerful for data exploration, visualization, and statistical analysis. To interact with R, we use RStudio.
Install R by downloading and running this .exe file from CRAN. Also, please install the RStudio IDE. Note that if you have separate user and admin accounts, you should run the installers as administrator (right-click on .exe file and select "Run as administrator" instead of double-clicking). Otherwise problems may occur later, for example when installing R packages.
Video Tutorial
Install R by downloading and running this .pkg file from CRAN. Also, please install the RStudio IDE.
Video Tutorial
Instructions for R installation on various Linux platforms (debian,
fedora, redhat, and ubuntu) can be found at
<https://cran.r-project.org/bin/linux/>. These will instruct you to
use your package manager (e.g. for Fedora run
sudo dnf install R
and for Debian/Ubuntu, add a ppa
repository and then run sudo apt-get install r-base
).
Also, please install the
RStudio IDE.