29 Oct 2020 - 3 Dec 2020
11:00 am - 2:00 pm
Instructors: Adela Sobotkova, Petra Hermankova
Helpers: N/A
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 bachelor students in the Department of History and Classical Studies at Aarhus University. You don't need to have any previous knowledge of the tools that will be presented at the workshop.
Where: Nobelparken, Aarhus University. Get directions with OpenStreetMap or Google Maps.
When: 29 Oct 2020 - 3 Dec 2020. Add to your Google Calendar.
Requirements: Participants must bring a laptop with a Mac, Linux, or Windows operating system (not a tablet, Chromebook, etc.) that they have administrative privileges on. They should have a few specific software packages installed (listed below). Thw workshop will have a blended form: one half of the participants can join in person and the other half will join remotely via Zoom (link will be provided to registered participants).
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 adela@cas.au.dk or petra.hermankova@cas.au.dk for more information.
Roles: To learn more about the roles at the workshop (who will be doing what), refer to our Workshop FAQ.
Who can attend?: This workshop is open to bachelor students of history at Aarhus University. Due to the recent Covid19 restrictions, there number of in-person seats are limited but the workshop will run in a blended form (over Zoom). If you are interested in attending this workshop, contact *adela@cas.au.dk* and you will obtain a Zoom link to join the workshop remotely.
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.
We will use this collaborative document for chatting, taking notes, and sharing URLs and bits of code.
Please be sure to complete these surveys before and after the workshop.
| Before starting | Pre-workshop survey |
| Thu 29 Oct | Introduction to Regular Expressions |
| Thu 29 Oct | Data Organization in Spreadsheets |
| Thu 05 Nov | OpenRefine for Data Cleaning |
| Thu 12 Nov | File Management and Navigation in Shell |
| Thu 19 Nov | Introduction to R |
| Thu 26 Nov | Crunching and Visualising Data in R |
| Thu 03 Dec | Interactive Maps in R |
| END | Post-workshop survey |
To participate in a Data Carpentry workshop, you will need access to the software described below. In addition, you will need an up-to-date web browser.
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.
For online workshops, the section below provides:
Please install the software relevant for each week by following the setup link provided in the table below.
| Week 1 | None needed, we work with online tools, such as www.regex101.com |
| Week 2 | Installing OpenRefine |
| Week 3 | Automating Tasks with the Unix Shell |
| Week 4 | Installing R and RStudio |
| Week 5 | Installing R and RStudio |
| Week 6 | None needed, we will work with code in github repositories |