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A Data Carpentry Workshop


January 11-12, 2016

8:30 am - 4:30 pm

Instructors: Naupaka Zimmerman, Sarah Supp

Helpers: Karl Broman, Michelle Craft, Steve Goldstein, Matthew Garcia, Alex Hanna, Brianna Marshall, Lauren Michael, Andy Pohl, Sarah Stevens

Registration is required and will be available just below, starting at 5:00pm on Friday, December 18. 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 entry-level, hands-on workshop teaches basic concepts, skills and tools for working more effectively with data.

For researchers who have already been programming and seek to expand their capabilities, our UW-Madison Software Carpentry workshop (Jan 14-15) 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.

At the Data Carpentry workshop, 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 attend ALL days of the workshop. 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.

Who: The course is aimed at UW-Madison-affiliated graduate students and other researchers. The curriculum and examples are somewhat specific to Biology/Ecology data, but still teach generalizable practices.

Where: 3rd Floor Teaching Lab, Discovery Building, 330 North Orchard St. Madison, WI. Get directions with OpenStreetMap or Google Maps.

Requirements: Participants must be affiliated with UW-Madison and bring a laptop with a few specific software packages installed (listed below). An individual should only register if he/she is able to attend ALL days of the workshop. While coffee and tea will be provided, participants should eat a full breakfast and plan to bring or buy their own lunch nearby. Attendees are also required to abide by Data Carpentry's Code of Conduct.
Registration is required, and will be available just above General Information, starting at 5:00pm on Friday, December 18.

Contact: Please mail for more information.

Preliminary Schedule

Using the "Ecology"/"Biology" version of Data Carpentry Lessons

Day 1

Morning Data organization in spreadsheets and OpenRefine
Afternoon SQL for data management

Day 2

Morning Introduction to R
Afternoon Data analysis and visualization in R


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.