1 - 3 August, 2017
Aug 1 from 13:00 16:00, Aug 2-3 from 08:30 - 16:15
Instructors: Angelique van Rensburg, Martin Dreyer, Caroline Ajilogba, Riaan van der Walt, Juan Steyn
Helpers: Zine Sapula
Thank your for your interest in Digital Humanities focussed Data Carpentry workshop.>
Researchers, students, and librarians are increasingly starting to engage in projects with more complex computing components to harness the power of larger and often open datasets and technology. Those who are interested in pursuing Digital Humanities projects often find themselves in unknown territory without a clear idea of a good starting point for acquiring new skills or finding potential collaborators. One of the aims of the South African Center for Digital Language Resources (SADiLaR) as well as the Digital Humanities Organisation of Southern Africa (DHASA) is to build local communities to both facilitate collaboration and skills transfer.
This workshop aims to provide a broad introduction to the following concepts and tools
The workshop is jointly funded by the South African Center for Digital Language Resources as well as the NWU-Digital Humanities and aims to create awareness about Digital Humanities
The workshop is organised by the Digital Humanities Organisation of Southern African in collaboration with NWU-Digital Humanities and we-Deliver
Please register for the workshop through this online form: https://goo.gl/SMjRcd by 27 July 2017 . Space is limited, if you have any questions please contact Juan.Steyn@nwu.ac.za.
Data Carpentry workshops are for any graduate student or 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 , Digital Humanities - How does it apply to me?, Organising and cleaning my research data and Introduction to in R. 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: Building F13, 214, Potchefstroom Campus, 11 Hoffman Street, Potchefstroom, South Africa. Get directions with 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 juan.steyn@nwu.ac.za for more information and if you have any trouble registering for the workshop.
Surveys
Please be sure to complete these surveys before and after the workshop.
Afternoon | Digital Humanities - How does it apply to me? |
Morning | Organising and cleaning my research data |
Afternoon | Introduction to in R |
Morning | Data analysis and visualization in R |
Afternoon | Data analysis and visualization in R |
Meals:
Lunch will be catered for.
Tea/Coffee will be provided according to schedule.
Etherpad: http://pad.software-carpentry.org/2017-08-01-potch.
We will use this Etherpad for chatting, taking notes, and sharing URLs and bits of code.
13:15 | Digital Humanities - How does it apply to me? |
14:00 | Existing resources and Future opportunities |
14:30 | Coffee, Tea and Snacks |
15:00 | Research Data Management and Workflows |
15:30 | Wrap-up and Software Installation for day 2 and 3 |
16:00 | Finish |
08:00 | Coffee, Tea and Software Installations |
08:30 | Organising and Preparing my research data |
10:00 | Coffee and Tea Break |
10:20 | Exploring and Augmenting research data |
12:00 | Lunch |
13:00 | Exploring and Augmenting research data |
14:30 | Coffee and Tea Break |
14:50 | Part 1: Introduction to R |
16:15 | Wrap-up |
08:00 | Coffee, Tea |
08:30 | Part 2: Starting with Data in R |
10:00 | Coffee and Tea Break |
10:20 | Part 3: Manipulating Data in R |
12:00 | Lunch |
13:00 | Part 4: Visualising Data in R |
14:30 | Coffee and Tea Break |
14:50 | Part 5: Visualising Data in R |
16:15 | Wrap-up |
OpenRefine (previously Google Refine) is a tool for data cleaning that runs through a web browser, and any browser - Safari, Firefox, Chrome, Explorer - should work fine. You will need to download OpenRefine and install it, and when you open it, it will run through the browser, but you don't need an internet connection, and the data will all be stored on your computer.
To participate in a Data Carpentry based 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.