Data Bites

A new data science community for Early and Mid-Career Researchers in all disciplines

A place and time to discuss all matters related to data science - quantitative or qualitative, practical or theoretical, or new and in need of debate.

To kick off, we are holding a curated series of sessions: DATA BITES.

These initial, regular sessions will be held around topics including data linkage and governance, data cleaning, containerisation, and analysis. Some may be practical hands-on sessions and others will be discussions.

We will start with fundamental conversations – to help fill knowledge gaps or offer creative ways to expand our thinking when working with data.

Overall, this is a place to share knowledge, meet like-minded people and interrogate the many dynamic ways data science engages with our everyday.

We hope to build a community of EMCRs across the university who see this as an opportunity to learn from one another. The face of research is changing – we are not operating in silos. We see DATA BITES as one way of supporting interdisciplinary research.

Session 1 - Tuesday 28 May: Types of data and data collection 
Session 2 - Tuesday 11 June: Linkage and governance 
Session 3 - Tuesday 23 July: Research Data Management/Data Storage
Session 4 - Tuesday 6 August: Containerisation
Session 5 - Tuesday 20 August: Workflow Workshop
Session 6 - Tuesday 3 September: Data Cleaning
Session 7 - Tuesday 17 September: Compute
Session 8 - Tuesday 8 October: Analysis
Session 9 - Tuesday 15 October: Data Visualisation
Session 10 - Tuesday 29 October: Publishing
Session 11 - Tuesday 12 November: Reproducible data science
Session 12 - Tuesday 26 November: Research Translation

This page is a work in progress and may appear as though there are no events or lacking some details - it needs to time to refresh (takes a few hours for certain pieces). We'll keep adding more information. Once event listings are showing, please know that dates and times may move. We will be surveying everyone who registered for session 1 to see what time and day of the week works best.

Any questions - email us mcds@unimelb.edu.au

Hosted by Melbourne Centre for Data Science and Melbourne Data Analytics Platform