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A Data Carpentry Workshop

University of Wisconsin-Madison

June 19-20, 2017

8:30am - 4:30pm

Instructors: Trisha Adamus, Christina Koch, Fred Boehm, Karl Broman, Brian Yandell

Helpers: Allan Barclay, Cameron Cook, Sarah Stevens

Registration is required and will be available just below, starting at 5:00pm on Monday, May 22. Make sure to read all details below before registering and to choose appropriately between UW-Madison's Data Carpentry and Software Carpentry workshops.

General Information

Data Carpentry workshops are for any researcher who has data they want to analyze, and no prior computational experience is required. This hands-on workshop teaches basic concepts, skills and tools for working more effectively with data.

We will cover Data organization in spreadsheets and OpenRefine, SQL for data management, Introduction to R and Data analysis and visualization in R. Participants should bring their laptops and plan to participate actively. By the end of the workshop learners should be able to more effectively manage and analyze data and be able to apply the tools and approaches directly to their ongoing research. For researchers who have already been programming and seek to expand their capabilities, our UW-Madison Software Carpentry workshop (June 28-29) will likely be more appropriate. These two workshops are NOT intended to be taken back-to-back, and you can learn about future workshops at UW-Madison by joining the mailing list of UW-Madison's Advanced Computing Initiative.

Who: The course is aimed at UW-Madison 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: Health Sciences Learning Center, 750 Highland Ave, Madison, WI 53705. Get directions with OpenStreetMap or Google Maps.

Requirements: Participants should plan to attend BOTH days of the workshop and bring a laptop with a Mac, Linux, or Windows operating sytem (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.

Contact: Please mail for more information.

Preliminary Schedule


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

Pre-workshop Survey

Post-workshop Survey

Day 1

8:30 - 9:00 Installation Help
9:00 - 9:10 Introduction
9:10 - 10:30 Data Organization in Spreadsheets
10:30 - 10:45 Break
10:45 - 12:00 Data Cleaning with OpenRefine
12:00 - 1:00 Lunch Break
1:00 - 2:15 Data Management with SQL
2:15 - 2:30 Coffee
2:30 - 4:00 Data Management with SQL
4:15 - 5:00 Join the Data Carpentry team for drinks and snacks in the Healing Garden

Day 2

8:30 - 9:00 Installation Help
9:00 - 9:15 Day 2 intro
9:15 - 10:30 Intro to R [Script from workshop]
10:30 - 10:45 Break
10:45 - 12:00 Data manipulation with dplyr [Script from workshop]
12:00 - 1:00 Lunch Break
1:00 - 2:30 Data Visualization with ggplot2 [R script]
2:30 - 2:45 Coffee
2:45 - 3:15 Reproducible reports with R Markdown [Rmarkdown example]
3:15 - 4:00 Capstone project [Solutions: Rmd | html]

We will use this Etherpad 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. Please make sure to install everything (or at least to download the installers) before the start of your workshop. Participants should bring and use their own laptops to insure the proper setup of tools for an efficient workflow once you leave the workshop.

Please follow these Setup Instructions.

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.