Data Science and eResearch
Data Science and eResearch
Advances in data creation, collection, analysis and presentation provide enormous opportunities and responsibilities for Universities, researchers and end-users. Opportunities include faster research results and outcomes, data reproducibility, opportunities for collaboration, and for funding. At the same time all research institutions must ensure sound data management practices and policies are in place under the Australian Code for the Responsible Conduct of Research.
Macquarie's Data Science and eResearch Platform Strategy guides Macquarie to realise the opportunities and comply with our responsibilities.
The Data Science and eResearch Advisory Group provides advice to the Deputy Vice-Chancellor, Research and reports through to the Research Management Committee (RMC) and the Research and Research Training Committee (RRTC) to guide decision making with regard to Data Science and eResearch projects, tools, policy, and capability development. The Chair of the Advisory Group is PVC (Research Performance and Innovation), Professor Peter Nelson.
Software Carpentry workshops for MQ researchers, by MQ researchers!
Macquarie's most recent Software Carpentry Instructor graduates are delivering two Software Carpentry with R workshops for Macquarie researchers and research students in August and September. Demand for this training is high, with workshop places filling within days.
More workshops will be scheduled soon. If you are interested in attending, or having a workshop delivered within your department or faculty, please email firstname.lastname@example.org
ResBaz Sydney 2017
Macquarie University was one of four universities to sponsor and coordinate Sydney's ResBaz in July this year.
The event was a great success, with researchers from across NSW coming together to learn digital research techniques and tools, share their experiences and connect with peers within and outside of their field. The buzz created by bringing together over 150 PhD students and researchers excited by the possibilities of data science and eResearch was palpable across the three days! Event highlights included coding workshops, lightening talks, industry sponsor stalls, a lively pizza and games night and poster session.
It was fantastic to see the event attended by so many Macquarie HDRs and researchers. A number of Macquarie staff were involved in the organisation of the event and several of our recent Software Carpentry Instructor trainees (see below) either taught or assisted in workshops.
Stay tuned for news of ResBaz 2018!
Building Data Science and eResearch at Macquarie
June was a month of 'firsts' for data science and eResearch at Macquarie.
On Monday 5 June the University's first Data Science and eResearch Director, Associate Professor Shawn Ross, commenced in the role which was created to implement the Data Science and eResearch Platform strategy developed by Pro Vice-Chancellor (Research Integrity and Development). Associate Professor Ross will take on the part time position while continuing his research in the Department of Ancient History and his directorship of the FAIMS Project. Read the This Week Q&A with A/Professor Ross.
Also in June, Macquarie's first cohort of Software Carpentry Instructor trainees were put through their paces at a two day workshop led by Belinda Weaver and Software Carpentry Foundation Executive Director, Jonah Duckles. The group now have three months to gain their accreditation and will be integral to helping build more training and communities of practice in digital research across the University. Read Belinda Weaver's blog post on the workshop.
R Users Group, Tuesday 26 September - Biology Tearoom (E8A 280)
All are welcome
Never used R? Join us for this 90 minute introduction to R at 1.30pm and stay for the presentation and discussion to follow at 3pm (see below).
Maina Mbui will present on Model Selection in R. More details to come.
Following Maina's presentation there will be plenty of time for Q&A and then opportunity to discuss coding problems.
Contact Rene Heim (email@example.com) if you would like to know more.
Associate Professor Shawn Ross, Director, Data Science and eResearch
P: 02 9850 7010