Oct 29-30, 2019
09:00 am - 4.30 pm
Instructors: Christina Straub, Janet Stacey, Kate Stevenson, Kim Nguyen
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 ESR staff of all levels. You don't need to have any previous knowledge of the tools that will be presented at the workshop.
When: Oct 29-30, 2019. Add to your Google Calendar.
Requirements: Participants do not need to bring anything, as training laptops will be provided with the necessary software installed.
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.
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 email@example.com for more information.
Please be sure to complete these surveys before and after the workshop.
We will use this collaborative document for chatting, taking notes, and sharing URLs and bits of code.
To participate in a Data Carpentry workshop, you will need access to the software R and R Studio. This software will be installed on the laptops provided.