6 - 8 November, 2017
Nov 6 - 7 from 08:30 to 16:30, Nov 8 from 08:30 - 12:00
Instructors: Angelique van Rensburg, Amy Hodge, Ian van der Linde, Juan Steyn
Helpers: Chrismarie Enslin, Samar Elsheikh
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. However, very often researchers and students can perform simple to complex data management by mastering tools and techniques which don’t require the purchase of pricey software licenses nor necessitating highly specialist skills.
It is one of the aims of the growing e-research support community at Stellenbosch University to assist researchers, postgraduate students, and research-support staff to master such tools and techniques. In cooperation with the South African Center for Digital Language Resources (SADiLaR) and the Digital Humanities Organisation of Southern Africa (DHASA), the SU Library and Information Service and the SU Information Technology Division aim to build local communities to facilitate collaboration and skills transfer across all academic disciplines in support of scientific data management.
This workshop aims to provide a broad introduction to the following concepts and tools
The workshop is funded by the South African Center for Digital Language Resources.
The workshop is organised by the Stellenbosch University Library and Information services and the Stellenbosch University Information Technology Division in collaboration with SADiLaR and DHASA.
Please register for the workshop through the online registration form by 1 November 2017. Registration is free of charge, although a penalty fee is applicable for a no show. Space is limited, if you have any questions please contact email@example.com.
Data Carpentry workshops are for any graduate student, staff member 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 Scholarship, Data organisation in spreadsheets, Data cleaning with OpenRefine and Data analysis and visualisation 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 postgraduate students, staff members and researchers.
Where: E-classroom, Stellenbosch University Library (J.S. Gericke Library), Stellenbosch University, JS Marais Square, c/o Victoria and Ryneveld Streets, Stellenbosch, 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 firstname.lastname@example.org for more information and if you have any trouble registering for the workshop.
Please be sure to complete these surveys before and after the workshop.
|Morning||Digital Scholarship & Data organisation in spreadsheets|
|Afternoon||Data organisation in spreadsheets & Data cleaning with OpenRefine|
|Morning||Data cleaning with OpenRefine & Data analysis and visualisation in R|
|Afternoon||Data analysis and visualisation in R|
|Morning||Data analysis and visualisation in R|
Lunch will be catered for.
Tea/Coffee will be provided according to schedule.
We will use this Etherpad for chatting, taking notes, and sharing URLs and bits of code.
|08:30||Coffee, tea and installations|
|10:00||Coffee and tea break|
|10:20||Introduction to data organisation in spreadsheets|
|13:00||Quality control and data manipulation in spreadsheets|
|14:20||Coffee and tea break|
|14:40||Introduction to OpenRefine|
|09:00||Data cleaning in OpenRefine|
|10:30||Coffee and tea break|
|10:50||Introduction to R|
|13:15||Starting with data in R|
|14:45||Coffee and tea Break|
|15:00||Manipulating data in R|
|09:00||Visualising data in R|
|10:30||Coffee and tea Break|
|10:50||Visualising data in R|
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.