Data Carpentry

Schusterman Library at OU-Tulsa

September 2-3, 2020

8:30am - 4:30pm

Instructors: Krista Kezbers, Toni Hoberecht

Helpers: helper one, helper two

General Information

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 faculty, graduate students, residents, and research staff. You don't need to have any previous knowledge of the tools that will be presented at the workshop.

Where: Library Conference Room, 4502 East 41st Street, Tulsa, OK 74135. Get directions with OpenStreetMap or Google Maps.

When: September 2-3, 2020. 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).

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 krista-kezbers@ouhsc.edu or toni-hoberecht@ouhsc.edu for more information.


Code of Conduct

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.


Collaborative Notes

We will use this collaborative document for chatting, taking notes, and sharing URLs and bits of code.


Surveys

Please be sure to complete these surveys before and after the workshop.

Pre-workshop Survey

Post-workshop Survey


Schedule

Day 1

8:30am - 9:00am Pre-workshop survey
Confirming software installations
9:00am - 12:00pm Data Organization in Spreadsheets
OpenRefine for Data Cleaning
12:00pm - 1:00pm Lunch (provided)
1:00pm - 4:30pmIntroduction to R
4:30pm END

Day 2

8:30am - 9:00am Troubleshooting from Day 1
9:00am - 12:00pm Continuation of R: Data Analysis & Visualization
12:00pm - 1:00pm Lunch (provided)
1:00pm - 4:30pmData Management with SQL
4:30pm Post-workshop survey
END

Syllabus


Setup

To participate in a Data Carpentry workshop, you will need access to the software 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.

Software Downloads

The software downloads and data sets used in the Data Carpentry Social Sciences workshops (with R) can be found at the workshop overview site. Please consult this page well before the workshop begins, and follow all instructions. You won't be able to participate in the workshop without having the software installed and the data sets ready to go.