Month: September 2018

Dr Chris Hines1 1Monash eResearch Centre, Clayton, Australia   Once upon a time, the CVL wanted to make graphical applications easy to use on HPC systems  with big data storage. As part of this we created a simple tool that...

Mrs Stephanie Guichard1, Ms Stacy Konkiel2 1Digital Science, Melbourne, Australia, s.guichard@digital-science.com 2Altmetric, London, United Kingdom, stacy@altmetric.com   Introduction Altmetrics : scholarly “big data” illustrating where, how often, and by whom research is discussed and commented; offering universities and research intensive organizations...

Ms Anne Harvey1 1Digital Science, Carnegie, Australia   The research landscape exists in silos, often split by proprietary tools and databases that do not meet the needs of the institutions they were developed for. What if we could change that?...

Mr Jafaruddin Lie1 1Monash University, Clayton, Australia, jafar.lie@monash.edu   Singularity [1] is a container solution that is developed specifically with high performance computing in mind. Singularity makes it possible to install programs that will not run on the host operating system...

Dr Damien Watkins1, Lachlan Hetherton1, Nerolie Oakes, David Thomas, Matt Bolger, Nirupama Sankaranarayanan 1CSIRO, Clayton, Australia   Introduction Industry 4.0 (a.k.a. “fourth industrial revolution”) refers to the amalgamation of automation & robotics, Internet of Things (IoT), network communications, cloud/cluster computing, artificial...

Ms Kerri Wait1 1Monash University, Clayton, Australia, kerri.wait@monash.edu    Open data initiatives have the potential to accelerate research activities, but with the sheer number of data formats, tools, and platforms available, it can be difficult to know where to begin and...

Dr Chris Hines1 1Monash Eresearch Centre, Clayton, Australia   Neural Networks are the new hawtness in machine learning and more generally in any field that  relies heavily on computers and automation. Many people feel its promise is overhyped, but  there...

David Hiatt WekaIO, San Jose, CA, United States, Dave@Weka.IO   The popular belief is that research data is heavy, therefore, data locality is an important factor in designing the appropriate data storage system to support research workloads. The solution is...

Dr Scott Koranda1, Dr Andrew Janke2, Ms Heather Flanagan1, Ms Siobhann Mccafferty3, Mr Benjamin Oshrin1, Mr Terry Smith3 1Spherical Cow Group, Wauwatosa, United States, skoranda@sphericalcowgroup.com,  hlflanagan@sphericalcowgroup.com, benno@sphericalcowgroup.com 2Research Data Services, Brisbane, Australia, andrew.janke@uq.edu.au 3Australian Access Federation, Brisbane, Australia, siobhann.mccafferty@aaf.edu.au, t.smith@aaf.edu.au   Persistent Identifiers (PID’s) are an...

Mrs Cassandra Sims1 1Elsevier, Chatswood, Australia, c.sims@elsevier.com    Information systems supporting science have come a long way and include solutions that address many research data management needs faced by researchers, as well as their institutions. Yet, due to a fragmented landscape...