The first community data hack of the Sheffield R Users Group
In March 2016, we’ll be running a hackathon event over three sessions. The hack will focus on the National Biodiversity Network’s data to collaboratively develop outputs that benefit the public, Council or local wildlife organisations.
The events are open to all, whether you’re an R expert or just interested in using R. No experience in R or biology is needed, just turn up and we’ll help you get started with the
rnbn package. You’ll learn more about R along the way, and maybe see some packages or other technologies you might not be familiar with that will be useful in your own projects. This is also a great opportunity to acquire and develop your open science skills that you could apply beyond the NBN data set alone.
What we’re aiming for
To get everyone started with the NBN data set, we’ve created a short analysis using Jupyter that shows how easy it is!
Our aims for the event are to bring the University together with other practitioners in the local area to learn more about R and share experience and do good for Sheffield by supporting the Sheffield Wildlife Trust by focusing on biodiversity data for Sheffield.
Our overall philosophy is; “no pressure, just learn and code for fun!”.
To sign up to the event, please visit our Eventbrite page.
|Kickoff Event at the Red Deer||Tuesday 23 February 17:30|
|Session 1 at the Sheffield Methods Institute||Tuesday 1 March 16:30 onwards|
|Session 2 at the Sheffield Methods Institute||Tuesday 8 March 16:30 onwards|
|Final Session & Feedback at the Sheffield Methods Institute||Tuesday 15 March 16:30 onwards|
The kickoff event will feature introductions and formation of breakout groups. The other sessions will see the groups develop their ideas and contribute them to a central hub (via GitHub). Don’t worry if you cannot attend all sessions, or need to come later in the day - you are more than welcome to come to as little or as many of the sessions as you can.
There will be free food at the events!
The events are supported by the Sheffield Methods Institute and the Sheffield Science Gateway.