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.
The course is aimed at graduate students and other researchers who may be interested.
You don't need to be from Wright State University to attend! However, this workshop is being organized
and promoted to Wright State students and researchers, so do register quickly if you want to attend.
You don't need to have any previous knowledge of the tools
that will be presented at the workshop.
Wright State University, 3640 Col. Glenn Hwy, Dayton, OH 45435.
Get directions with
Sponsored by University of Dayton Department of Biology, breakfast food, coffee and snacks will be provided to workshop participants on both days.
Lunch will not be provided, but there are many food options nearby, or there is
refrigeration and microwaves available for those who want to pack a lunch.
There are campus parking lots near the buildings being used. If you are not from Wright State University and need parking
information, please contact firstname.lastname@example.org.
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). They are also required to abide by
Code of Conduct.
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.
Materials will be provided in advance of the workshop and
large-print handouts are available if needed by notifying the
organizers in advance. If we can help making learning easier for
you (e.g. sign-language interpreters, lactation facilities) please
get in touch (using contact details below) and we will
attempt to provide them.
In addition to the software below, each lesson will require data to be downloaded and / or packages to install. If you are concerned about download and installation times, please click on each of the headings in the syllabus to go to that lesson page to see what data need to be downloaded.
We strongly encourage you to install and check the software before the
workshop. If you have trouble installing the required software, there will be helpers available at
8:30am on both workshop days to help you install the software.
R is a programming language
that is especially powerful for data exploration, visualization, and
statistical analysis. To interact with R, we use
Install R by downloading and running
this .exe file
Also, please install the
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.
You can download the binary files for your distribution
from CRAN. Or
you can use your package manager (e.g. for Debian/Ubuntu
run sudo apt-get install r-base and for Fedora run
sudo dnf install R). Also, please install the
SQL is a specialized programming language used with databases. We
use a simple database manager called
SQLite in our lessons.
Git is a version control system that lets you track who made changes
to what when and has options for easily updating a shared or public
version of your code
on github.com. You will need a
You will need an account at github.com
for parts of the Git lesson. Basic GitHub accounts are free. We encourage
you to create a GitHub account if you don't have one already.
Please consider what personal information you'd like to reveal. For
example, you may want to review these
for keeping your email address private provided at GitHub.
Click on "Next" four times (two times if you've previously
installed Git). You don't need to change anything
in the Information, location, components, and start menu screens.
Select “Use the nano editor by default” and click on “Next”.
Keep "Use Git from the Windows Command Prompt" selected and click on "Next".
If you forgot to do this programs that you need for the workshop will not work properly.
If this happens rerun the installer and select the appropriate option.
Click on "Next".
Keep "Checkout Windows-style, commit Unix-style line endings" selected and click on "Next".
Select "Use Windows' default console window" and click on "Next".
Click on "Install".
Click on "Finish".
If your "HOME" environment variable is not set (or you don't know what this is):
Open command prompt (Open Start Menu then type cmd and press [Enter])
Type the following line into the command prompt window exactly as shown:
setx HOME "%USERPROFILE%"
Press [Enter], you should see SUCCESS: Specified value was saved.
Quit command prompt by typing exit then pressing [Enter]
For OS X 10.9 and higher, install Git for Mac
by downloading and running the most recent "mavericks" installer from
Because this installer is not signed by the developer, you may have to
right click (control click) on the .pkg file, click Open, and click
Open on the pop up window.
After installing Git, there will not be anything in your /Applications folder,
as Git is a command line program.
For older versions of OS X (10.5-10.8) use the
most recent available installer labelled "snow-leopard"
If Git is not already available on your machine you can try to
install it via your distro's package manager. For Debian/Ubuntu run
sudo apt-get install git and for Fedora run
sudo dnf install git.