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A Data Carpentry Workshop

Canadian Museum of Nature

Sep 30 - Oct 1, 2017

9:00 am - 4:30 pm

Instructors: Karen Cranston, Matthew Collins, Deborah Paul, Jake Szamosi

Helpers: To be announced


Registration for this workshop is now open to the public. The registration is being done in conjunction with the 2017 TDWG conference. If you are attending only the workshop, please be sure to choose the "Workshop (only, no conf fee)" option on the initial registration page.

The registration fee is $50.00 USD or $30.00 USD for students. If you are a student, you can request a discount code from the treasurer of the TDWG organization via email at before signing up.

Register at Regonline

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, Introduction to R, Data analysis and visualization in R and SQL for data management. 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: 240 McLeod St, Ottawa, CA. Get directions with OpenStreetMap or Google Maps.

Requirements: Participants must 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

Morning Data organization in spreadsheets and OpenRefine
Afternoon Introduction to R

Day 2

Morning Data analysis and visualization in R
Afternoon SQL for data management


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.