Category Archives: interviews

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Training: an interview with Sonika Tyagi

Category : interviews , training

Training is one of the key focus area for the EMBL-ABR and its effort to network with various Australian institutes who develop and run bioinformatics training activities is going to help in standardising, sharing and reusing bioinformatics training resources. EMBL-ABR’s affiliations with international bodies such as GOBLET, ELIXIR, NIH-BD2K, BD2KTCC etc. will help us keep pace with international best practices in training standards and programs.

Full interview.


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Training: an interview with Daniel Park

Category : interviews , training

Our first interview in the 2018 series, focussing on Training, is with the University of Melbourne’s Assoc Prof Daniel Park who says: The shortage of bioinformaticians, left unaddressed, will continue to present a serious bottleneck to progress in many areas from discovery to translation. Without serious investment in this area, Australian life scientists will slide in terms of their global relevance except for a relatively small number of well-funded individuals. Without such investment, the substantial majority will become followers and bit-part players rather than leaders on many international consortium-based projects. In terms of clinical applications, we become a consumer rather than a producer, with obvious cost implications.

Full interview.


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2018 Interview Series: Training, training, training

Category : interviews , training

There is good reason we are focussing on training for the 2018 Interview Series:

“A national bioinformatics training infrastructure may be the best strategy to empower researchers to participate in biology’s evolution as a data science,” was one finding in an article published by Jason Williams, Chair our of International Advisory Group, and co-authored with Tracy K. Teal, in the Annals of the New York Academy of Sciences special January 2017 issue on Data Science, Learning, and Applications to Biomedical and Health Sciences. The paper is here: A vision for collaborative training infrastructure for bioinformatics. Earlier in 2017 we invited Jason to elaborate, and he wrote:

Life science research is and will increasingly be shaped by infrastructure that supports it. At the beginning of Big Data biology, this meant funding sequencers and computers and while we still need those, we also need to become smarter. Increases in our ability to solve the big problems in biology have come as much from scaling people (through training, sharing of practices, and collaboration) as they have from cheaper sequencing or faster processors.

Read the views of our invited interviewees:

Daniel Park, Melbourne Bioinformatics, Victoria, Australia

Sonika Tyagi, Monash Bioinformatics Platform, Victoria, Australia


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Open Science: an interview with David Lynn

Category : interviews , open science

This month we are pleased to interview Assoc Prof David Lynn. Since 2014 David has been a European Molecular Biology Laboratory (EMBL) Australia Group Leader at the South Australian Health and Medical Research Institute (SAHMRI). He is also an Associate Professor at Flinders University School of Medicine. His group has built up considerable resources for research in immunology, and he is quick to acknowledge that the shared resources of others were essential to that. So Open Science is a concept he supports, but he says it needs appropriate incentives to work: “Right now, most assessment of scientific impact (e.g. for grants, promotion, etc) is based on the quantity and quality of publications. Researchers frequently do not formally cite the bioinformatics software they use. We need to ensure that high-quality, well-supported code, software and data are appreciated and considered when considering impact. We therefore need agreed metrics to do this and to weight them similarly to traditional citations. If done properly this will further incentivise, open, well-supported data and resources.”

Full interview.


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Open Science: an interview with Graham King

Category : interviews , open science

Today we are very pleased to be publishing our next Open Science interview conducted with Prof Graham King from Southern Cross University, head of our 12th EMBL-ABR Node. Graham’s interest in Open Science is in its potential for Australian scientists to showcase their science and draw attention to the knowledge generated here, especially in fields where Australia’s experience is based upon our unique flora and fauna and our challenging physical environment. “This will also give us access to knowledge generated elsewhere,” he says. “We need to work closely with CyVerse and Elixir… don’t re-invent the wheel or duplicate investment elsewhere….”

Full interview.


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Open Science: an interview with Saravanan Dayalan

Category : interviews , open science

Saravanan Dayalan is passionate about Open Science. He encourages young life science researchers to investigate how to expose and maximise their research to benefit their careers. And to the community overall, he says we need to learn from and adopt methods from the physicists, who have been successfully doing open science for decades now.

Full interview.


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Open Science: an interview with Jeff Christiansen

Category : interviews , open science

This month we are very pleased to publish an interview with Jeff Christiansen, Health and Life Sciences Program Manager, QCIF.  In early August Jeff will be taking over the role of Open Data Coordinator, EMBL-ABR whilst Pip Griffin takes some family leave. Jeff has loads of experience in the area of open data and some thoughtful insights into open science.

Jeff knows that the whole ecosystem of data, tools and compute that is used in research is very complex and spans not only national and local resources but also many international and also commercial resources. He believes it makes sense to resource national efforts to increase/improve local infrastructure and efforts to better connect Australian researchers into this global ecosystem.

And when asked how new biologists should handle their data he challenges: first think about developing systems and methodologies to describe experimental inputs, methods and outputs that would enable you to share this information with your ‘future self’. Indeed!

Full interview.

 

 


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