Jun 8-9, 2026
9:00 am - 5:00 pm EST
Instructors: Christie Bahlai, Ellen Bledsoe, Khaoula Ferchichi, Shamina Vastani
Helpers: Kenneth Anderson, Robert Boyd, Elias del Val, Thomas Franzem, Raissa Mendonca
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.
Want to learn more and stay engaged with The Carpentries? Carpentries Clippings is The Carpentries' biweekly newsletter, where we share community news, community job postings, and more. Sign up to receive future editions and read our full archive: https://carpentries.org/newsletter/
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: This workshop is aimed at graduate students, undergraduate students enrolled in individual investigation or honors program, postdocs, or faculty in the Department of Biological Sciences looking for refreshers or skill upgrades. You don't need to have any previous knowledge of the tools that will be presented at the workshop.
Where: Room A108, Cunningham Hall, 1275 University Esplanade, Kent, Ohio. Get directions with OpenStreetMap or Google Maps.
When: Jun 8-9, 2026; 9:00 am - 5:00 pm EST Add to your Google Calendar.
Registration: Teams Registration Link. Attendance for this workshop is capped at 30 registrants.
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 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.
Workshop Recordings: 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.
Contact: Please email cbahlai@kent.edu for more information.
Workshops FAQ: For answers to frequently asked questions about workshops, refer to the Carpentries 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.
We will use this collaborative document for chatting, taking notes, and sharing URLs and bits of code.
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 Ecology workshops (with R) can be found at the workshop overview site.
Please be sure to complete these surveys before and after the workshop.
| Before starting | Pre-workshop survey |
| 9:00 AM | Data Organization in Spreadsheets |
| 10:15 AM | Coffee Break ☕️ |
| 10:30 AM | Continuation of Data Organization in Spreadsheets |
| 12:00 PM | Lunch Break 🍽️ |
| 1:00 PM | OpenRefine for Data Cleaning |
| 2:15 PM | Coffee Break ☕️ |
| 2:30 PM | Continuation of OpenRefine for Data Cleaning |
| 3:45 PM | Coffee Break ☕️ |
| 4:00 PM | Introduction to Data Analysis and Visualization in R |
| 5:00 PM | End of Day 1 |
| 9:00 AM | Brief Recap Day 1 |
| 9:15 AM | Continuation of Data Analysis and Visualization in R |
| 10:15 AM | Coffee Break ☕️ |
| 10:30 AM | Continuation of Data Analysis and Visualization in R |
| 12:00 PM | Lunch Break 🍽️ |
| 1:00 PM | Data Management with SQL |
| 2:15 PM | Coffee Break ☕️ |
| 2:30 PM | Continuation of Data Management with SQL |
| 3:45 PM | Coffee Break ☕️ |
| 4:00 PM | Workshop Reflection and Wrap-up + Post-workshop survey |
| 5:00 PM | End of Day 2 |