Data Carpentry Workshops
Data Carpentry lessons are domain-specific. Well-developed curricula are available for Ecology, Genomics, Social Sciences, and Geospatial data. Curricula for other domains are under development and may be offered if time, expertise, and interest permit.
KU's cohort of certified Carpentries Instructors offer workshops multiple times per year. We do our best to time workshops around the academic calendar and class schedules.
Data Carpentry Genomics
Tuesday, Wednesday, and Thursday - January 10-12, 2023
9:00 am - 4:00 pm CST (UTC-6) all days
Online via Zoom
Zoom connection information will be sent to registered learners the day before each session.
Who should attend?
This Data Carpentry workshop focuses on Genomics data cleaning and analysis. Participants should be familiar with biological and genomic concepts, but no prior experience with the tools covered in the workshop is expected or required.
Data Carpentry teaches fundamental computational skills necessary for research. During a hands-on workshop, you will learn how to organize, clean, and query your data using open source tools. You will also learn how to reproducibly analyze and visualize your data using a programming language. A Data Carpentry workshop is for you especially if you have no prior experience with these topics.
Attendees are welcome regardless of institutional affiliation. If you are a visitor to KU, you will need a Zoom account to join the workshop.
Why should I attend?
You will learn to use tools and practice skills that can improve your efficiency and the transparency and reliability of your research results.
- Project organization and management
- Introduction to the command line
- Data wrangling and processing
- Introduction to cloud computing for genomics
- Introduction to R and RStudio for Genomics
More details about the topics covered and a schedule can be found on the workshop's GitHub page.
- Boryana Koseva, PhD, Children's Mercy Research Institute
- Caroline Kisielinski
KU Libraries, KU Research, and KU Information Technology