21-22 May 2019
9 am - 4 pm
Instructors: Adela Sobotkova
Helpers: Joachim Holmen Frost
Thank your for your interest in the Fundamental Data Skills 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 specialised 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 as part of the Center for Digital History Aarhus (CEDHAR) in cooperation with the Carpentries.
This workshop aims to provide arts, humanities, and social scientists with 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: 21-22 May 2019. 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.
You can download OpenRefine from here. OpenRefine 3.1 is recommended. There are versions for Windows, Mac OS X and Linux.
When you download OpenRefine for Windows or Linux from the address above, you are downloading a zip file. To install OpenRefine you unzip the downloaded file wherever you want to install the program. This can be to a personal directory or to an applications or software directory - OpenRefine should run wherever you put the unzipped folder. The location has to be a "local" drive as problems have been reported trying to run OpenRefine from a Network drive.
If you are downloading OpenRefine for Mac, you are downloading a 'dmg' (disk image) file which you can open, and then drag the OpenRefine application to an appropriate folder on you computer.
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.