13-14 Feb 2020
9 am - 4 pm
Instructors: Adéla Sobotková, Petra Heřmánková
Helpers: Max Odsbjerg Pedersen
Thank your for your interest in this Data Carpentry workshop.>
The ever-increasing digital nature of research requires researchers, postgraduate students, and research-support staff to equip themselves with the skills to create, manipulate and manage data in digital format. This can involve complex research data management techniques.
Today, researchers and students can perform simple to complex data management through open source tools and techniques which do not require highly specialist skills.
This workshop will assist researchers, postgraduate students, and research-support staff to learn more about such tools and techniques.
The workshop is organised and funded by the Center for Digital History Aarhus (CEDHAR) and Center for Humanities Computing Aarhus (CHCAA) in cooperation with the Carpentries.
This workshop aims to provide a broad introduction to the following concepts and tools
Who: The course is aimed at graduate students and other researchers. You don't need to have any previous knowledge of the tools that will be presented at the workshop.
When: 13-14 Feb 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). They are also required to abide by Data Carpentry's Code of Conduct.
Accessibility: We are committed to making this workshop accessible to everybody. The workshop organisers 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 firstname.lastname@example.org for more information.
Please be sure to complete these surveys before and after the workshop.
|09:00||Data organization in spreadsheets|
|13:00||OpenRefine for data cleaning|
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 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.
Install R by downloading and running this .exe file from CRAN. Also, please install the RStudio IDE. Note that if you have separate user and admin accounts, you should run the installers as administrator (right-click on .exe file and select "Run as administrator" instead of double-clicking). Otherwise problems may occur later, for example when installing R packages.