Jan 3-4, 2019
9:00 am - 4:30 pm
Instructors: Carrie Brown, Kathryn Cooper, Ryan Hagenson
Helpers: Brian Moore, Kimia Ameri
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: 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: Peter Kiewit Institute - Room 158, 1110 S 67th St, Omaha, NE 68182. Get directions with OpenStreetMap or Google Maps.
When: Jan 3-4, 2019. 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). They are also required to abide by Data Carpentry's Code of Conduct.
Parking: Parking is available in the lots adjacent to the Peter Kiewit Insitute. Attendees with UNMC passes can park either in the student lot to the northwest of the building or in the Pacific Street garage located across 67th street once they register their passes with UNO Parking Services. Please contact Parking Services to register your pass prior to attending.
Daily visitor passes are also available to purchase at the kiosk in the Pacific Street garage. Additional information on the parking policy can be found on the UNO Parking Services website
Accessibility: We are committed to making this workshop accessible to everybody. The workshop organizers have checked that:
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.
Contact: Please email hcc-support@unl.edu for more information.
Please be sure to complete these surveys before and after the workshop.
| Before starting | Pre-workshop survey |
| Morning | Project organization and management |
| Afternoon | Introduction to the command line |
| Morning | Data wrangling and processing |
| Afternoon | Data analysis and visualization in R |
| Evening | Post-workshop survey |
| END |
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 working copies of the described software. Additionally, all participants will need an active account with the Holland Computing Center. If you do not currently have an account, you can request one by completing a new user request form.
Please note that all new accounts must be associated with an established HCC group. If your research group is not currently established with HCC, the group PI must first complete a new group request form. Once a group has been established, a new user account can then be requested.
For those who do not have a group to request an account under and are unable to create a group, demo accounts will be provided for use during the workshop.
Please make sure to install everything (or at least to download the installers) before the start of your workshop. Participants will need to bring a laptop with the following software installed.
Mac users
Windows users
If you encounter any issues with the setup instructions, please plan to arrive at the workshop at 8:30 AM to receive assistance.