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A Data Carpentry Workshop

Gonzaga, Office of Research Integrity

April 4-7, 2016

8:00am - 5:00pm

Instructors: Tracy Teal

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, Data analysis and visualization in R and Conclusions, Questions, and Data Training/RCR. 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.

Who: The course is aimed at graduate students and other researchers.

Where: FIXME (street address of home location). Get directions with OpenStreetMap or Google Maps.

Requirements: Participants must bring a laptop with 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.


The Data Carpentry tutorials are a part of the PUI Research Integrity and Responsible Conduct of Research Training.

Overall Training Schedule

Monday April 4th
7-8 Breakfast at Hotel
8-8:15 Welcome and Introductions
8:15-10 Keynote speaker NSF
10-10:15 Break
10:15-12 Data Carpentry Session 1: Overview of Data Carpentry
12-1 Lunch
1-3:15 Data Carpentry Session 2: Data Organization in Spreadsheets and OpenRefine for Data Cleaning
3:15-5 Speaker Session: John Carfora LMU
6:30 pm Dinner

Tuesday April 5th
7-8 Breakfast at Hotel
8-9:45 Data Carpentry Session 3: SQL for Data Management
9:45-10 Break
10-12 Data Carpentry Session 4: SQL for Data Management
12-1 Lunch
1-5 Speaker Session
6:30 pm Dinner

Wednesday April 6th
7-8 Breakfast at Hotel
8-9:45 Data Carpentry Session 5: Data Analysis and Visualization in R
9:45-10 Break
10-12 Data Carpentry Session 6: Data Analysis and Visualization in R
12-1 Lunch
1-5 Speaker Session
6:30 pm Dinner

Thursday, April 7th
7-8 Breakfast at Hotel
8-9:30 Data Carpentry Session 7: Conclusions, Questions, and Data Training/RCR
9:30-11 Various Speakers/Closing Statements
11-12 Lunch
12 pm Departure


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.