August 18–19, 2026
9:00 am - 4:30 pm CDT
Instructors: Vanna Hay (KU), Caroline Kisielinski, PhD (KU)
Helpers: Kristie Beaty, PhD (KU), Jamene Brooks-Kieffer (KU), E Durham (KU), April Friedl (KU), Austin Nguyen (KU), Carol Sevin (K-State), Teresa Shippy, PhD (K-State), Gwendolyn Sibley (K-State), Kendra Spahr (K-State), Will Tank, PhD (K-State)
This is a in-person, multi-site workshop taking place at The University of Kansas (KU) and Kansas State University (K-State). The workshop will not be recorded. Registration is free and required.
KU's registration and waitlist for this workshop are full.
To attend the workshop on K-State's Manhattan campus, register through K-State Libraries' workshops calendar.
The Carpentries project comprises the Data Carpentry, High-Performance Computing Carpentry, Library Carpentry, and Software Carpentry communities of Instructors, Trainers, Maintainers, helpers, and supporters who share a mission to teach foundational computational and data science skills to researchers.
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".
Everyone who participates in Carpentries activities is required to conform to the Code of Conduct, which also outlines how to report an incident if needed.
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.
This is a mulit-site, in-person training taking place simultaneously on KU Lawrence and K-State Manhattan campuses. Learners registered to attend in-person on the KU Lawrence campus: Watson Library (Room 455), 1425 Jayhawk Boulevard, Lawrence, KS. Get directions with OpenStreetMap or Google Maps. Learners registered to attend in-person on the K-State Manhattan campus: Hale Library (Room 407), 1117 Mid-Campus Drive North, Manhattan, KS 66506. Get directions with OpenStreetMap or Google Maps.
August 18–19, 2026; 9:00 am - 4:30 pm CDT Add to your Google Calendar.
Participants must bring a laptop with a Mac, Linux, or Windows operating system (not a tablet, Chromebook, etc.). They should have a few specific software packages installed (listed below).
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 accessibility support for this workshop, please fill out the accessibility support request form. If you have questions or need assistance with the accessibility support 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.
Carpentries workshops are designed to be interactive rather than lecture-based, with lessons that build upon one another. To foster a positive online learning environment, we strongly recommend that participants join in real time. As a result, workshop recordings are not recommended and may not be available to learners.
Please email emdurham@ku.edu or grsibley@ksu.edu for more information.
For answers to frequently asked questions about workshops, refer to the Carpentries Workshop FAQ.
We will use this collaborative document, called an Etherpad, for chatting, taking notes, and sharing URLs and bits of code.
Please fill out this survey before attending the workshop.
Fill Out the Pre-Workshop SurveyPlease fill out this survey before you leave the workshop.
Fill Out the Post-Workshop Survey| Before starting | Pre-workshop survey |
| Morning | Project Organization and Management |
| Introduction to the Command Line | |
| Afternoon | Continuation: Introduction to the Command Line |
| Evening | END |
| Morning | Data Wrangling and Processing |
| Afternoon | Continuation: Data Wrangling and Processing |
| Evening | Post-workshop survey |
| END |
To participate in this Data Carpentry Genomics workshop, you will need a spreadsheet program such as Microsoft Excel installed on your computer. You will also need access to an up-to-date web browser. We will access the Unix Shell and workshop data through remote computing instances.
If you don't have a spreadsheet program already, you can use Libre Office, a free, open source spreadsheet program.
Download the Installer: Install LibreOffice by going to the installation page. The version for Windows should automatically be selected. Click Download.You will go to a page that asks about a donation, but you don't need to make one.
Download the Installer: Install LibreOffice by going to the installation page. The version for Mac OS should automatically be selected. Click Download. You will go to a page that asks about a donation, but you don't need to make one.
Download the Installer: Install LibreOffice by going to the installation page. The version for Linux should automatically be selected. Click Download. You will go to a page that asks about a donation, but you don't need to make one.