Event
Researcher Training Intensive: Data analysis workflow – a case study
Event details
Presenters
Dr Christopher McAvaney, Services Manager, eResearch, Deakin University
Christopher is responsible for managing the IT services provided for researchers at Deakin University. The eResearch program of work ensures researchers at Deakin University are able to tackle the microscope of the 21st century – which really means empowering people to deal with digital information (i.e. data).
Christopher has extensive research administration experience within Deakin Research, developing many workflow productivity tools to streamline and simplify administration tasks relating to research. He has also been heavily involved in government reporting of research outcomes, including two ERA rounds. Christopher’s research background is in parallel and distributed systems, in particular applied research around an automated parallelisation tool.
Dr Andrew Goh, Deakin eResearch Analyst
- PhD, Computational Mathematics
- MSc, Computer Science
- MBA, Business Administration
- BSc, Computer Science
About the event
Data analysis is often equated to number crunching. But to crunch numbers, we need to get the data in that form first. The best way to consider this is via a workflow. Capture or generating, cleaning, analysing, summarising.
There are many capture and generation tools, and there may be different tools for analysis to choose from. This can all get very confusing.
Join Dr Christopher McAvaney (Services Manager, eResearch) and Dr Andrew Goh (Deakin eResearch Analyst) as they simulate the considerations required to establish a solid workflow.
Important access information
This training session will take place online via Zoom. You will receive a reminder with the link and password to the session one day before the training. This information is also included in the calendar invitation sent along with your confirmation email.
Event organiser
Email: researchlib@deakin.edu.au
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