Update 26/6/2018

Late registrations for workshops are still possible, please email res.baz@otago.ac.nz

Only want the talks on Friday 6th July? Grab a ticket below!

If you have already registered for the talks with the workshop signup you don't need to register again

The Friday talks and conversation will focus on the opportunities and challanges of learning new skills and some ways in which we can all help each other grow skills together. We'll learn from some engaging speakers about the realities and challenges of learning new technical skills in addition to disciplinary academic knowledge and learning. With more and more expected of the 21st century researcher, how will you be prepared? Come join the conversation!

Registration for talks and discussion on Friday 6th July

Timetable for talks

Please check back before the event for updates

Friday 6th July - Castle Lecture Theatre Complex

Venue (talks: July 6)

The talks will be held in the Castle Lecture Theatre complex at the University of Otago

Venue (workshops: July 4-5)

The workshops will be held in the St David Lecture Theatre complex at the University of Otago

Workshop sessions (July 4-5)

Workshop Streams - Research projects and communication

This will cover techniques and tools for effectively managing research projects, and their associated data (and metadata). While "project management" is oftne associated with large scale initiatives, smaller research projects (e.g. Masters and PhD theses!) can benefit hugely from access to the right tools and knowledge of best practice.

https://github.com/Shiobhan/21CAsss/blob/master/21cass.md this workshop will introduce you to:

How to use persistent identifiers, including ORCIDs and DOIs to improve the visibility and citability of both you and your research
How to identify physical research objects in an online world
How to license your work using the Creative Commons framework
How to apply the 'think, check, submit' framework when publishing your research
What to do (and what not to do) with your personal (and institutional) website
How to get credit for your peer review activities
How to pitch your research to journalists

Workshop streams - Non-programming digital skills and tools

This workshop will be an introduction to OpenRefine with a humanities data focus.
It will cover:

What is OpenRefine
Loading data into OpenRefine
Data cleaning
Sorting, filtering, and summarising data

Please install OpenRefine before you come to the workshop.

This session wil be an introduction to the creation of a digital lab notebook. It will be based on https://github.com/JoshuaHarris391/OSG_Eletronic_lab_Book_JH/blob/master/Guidelines.md
It will cover:

Creating up a github account
Creating a repository to store the notebook
Introduction to markdown syntax for formatting
Adding entries to the notebook
Modifying existing entries
Collaborating

Course material is here:
https://github.com/rikutakei/resbaz2018_dln_outline

Workshop streams - Library Carpentry

This workshop will be an introduction to digital skills aimed at librarians. Content for this workshop can be found here https://weaverbel.github.io/2018-07-05-dunedin/
It will cover:

An introduction to data
Jargon busting
File naming
Plain text formats
Regular expressions
Introduction to the Unix shell
Introduction to OpenRefine

Prior experience/knowledge of the tools being presented is not required

The workshop setup instructions can be found here:
https://weaverbel.github.io/2018-07-05-dunedin/

Workshop streams - Data Carpentry

The workshop setup instructions can be found here:
https://murraycadzow.github.io/2018-07-04-otago-dc/

An introduction to data organisation and preparation practices. Based on http://www.datacarpentry.org/spreadsheets-socialsci/

An introduction to the programming language R and the RStudio interface for reproducible data analysis. The lessons will be based on http://www.datacarpentry.org/r-socialsci/00-intro/, http://www.datacarpentry.org/r-socialsci/01-intro-to-r/ and http://www.datacarpentry.org/r-socialsci/02-starting-with-data/
This will cover:

Project setup
Introduction to R
Getting data into R
Basic data analysis
Getting data out of R

Continuing on from the introduction to R, this workshop will introduce how to manipulate and visualise data in R. the lessons will be based on http://www.datacarpentry.org/r-socialsci/03-dplyr-tidyr/ and http://www.datacarpentry.org/r-socialsci/04-ggplot2/
This will cover:

Selecting and filtering data
Grouping and summarising data
Modifying data
Visualisation of data

This workshop will be an introduction to accessing databases using SQL.
This will cover:

What are relational databases
Connecting to a database
Selecting and filtering data
Agregating and summarising data
Combining data

Workshop streams - Programming digital skills and tools

This workshop session will be an introduction to the unix commandline and remote access. It will be based on http://swcarpentry.github.io/shell-novice/
It will cover:

Navigation of directories and files
Working with files and directories
Combining commands
Introduction to accessing remote computers
Introduction to NeSI

Workshop setup instructions can be found here:
https://murraycadzow.github.io/2018-07-04-otago-shell/

This session will be an introduction to the Python programming language. The workshop will be based on http://www.musicofsound.org/python-humanities-lesson/
It will cover:

Introduction to Python
Loading data
Datatypes and subsetting of data
Writing data out

Timetable for workshops