“In teaching you will learn”: Building HASS DEVL training elements collaboratively

Ms Alexis Tindall1

1eRSA, Thebarton, Adelaide, Australia, alexis.tindall@ersa.edu.au


The Humanities, Arts and Social Sciences Data-Enhanced Virtual Lab (HASS DEVL) promises a national skills and training framework that supports the range of other project deliverables, including a data curation framework and a workbench environment. This project aims to support an diverse research community, both in ambition,  experience and confidence with data and digital research methods. The project team worked on skills and training elements concurrently with teams working on other project outputs, and these outputs will be tested at a two day Train the Trainer program to be delivered in November.

In this lightning talk Alexis will provide an overview of the HASS DEVL skills and training framework, highlight some of the opportunities in this area, and briefly explore our challenges, including simultaneous development of tools and training, working across a distributed team, and determining the needs of a diverse research community. The delivery of these project outputs has been a learning process, and we might be a lot better at it once the project is finished!


Alexis is part of eRSA’s Research Engagement team, working with humanities and social sciences researchers to help them access data storage and compute facilities through eRSA. In this role she leads the skills and training elements of the Humanities, Arts and Social Sciences Data-Enhanced Virtual Lab, as well as contributing to the project team and project community engagement.
Alexis has a postgraduate qualification in Museum Studies and extensive project management experience in a variety of environments. Prior to working with eRSA, she worked in natural history museum digitisation and for the Atlas of Living Australia, improving digital accessibility of the nation’s biological collections.

Transforming research capabilities for evidence-based policy making

Ms Michelle Zwagerman1

1Analysis & Policy Observatory (APO.org.au), Hawthorn, Australia, mzwagerman@apo.org.au 


The “Linked semantic platforms” LIEF project1 aims to develop the next generation of decision-support tools for interdisciplinary research on critical public policy issues. This presentation is on the results of the needs analysis phase of this project. The needs analysis focuses on a specific subset of interdisciplinary policy topics and hones in on particular research subgroups within government, industry and academia. With the emergence of systems thinking, we expect to identify the unique challenges that confront interdisciplinary research, where information is often contained in silos and not easy to apply to wicked policy problems. An example is the topic of digital health where research combining the disciplines of health and technology must seek to connect evidence based on dissimilar research methods and various research publication practices.


Our project is investigating the use of information technology to assist researchers working in interdisciplinary fields. Through applying appropriate information architectural designs, we aim to develop eResearch tools to support existing and new forms of research.


Michelle Zwagerman is the Digital Product Manager for Swinburne’s APO.org.au and the CRC for Low Carbon Living’s BuiltBetter.org Knowledge Hub. She has completed a Master of Public Policy at RMIT, a Master of Business Administration at University of NSW, and a Bachelor of Science at University of Melbourne. She has over 20 years’ experience in Information Technology having delivered numerous IT projects and managed various IT support services.

Archives and the semantic web: Contextualising the record

Mr Owen Oneill1, Mr Nick Fahey1

1Public Record Office Victoria, North Melbourne, Australia, owen.oneill@prov.vic.gov.aunick.fahey@prov.vic.gov.au 


Public Record Office Victoria (PROV) is the archive of the State of Victoria. PROV is responsible for preserving and facilitating access to the permanent records of the Victorian Government. The collection is used by a very broad range of users including Government, academic researchers and the public.

Users of the collection may also create contextual information, including the definition of relationships to external knowledge/data sources. By structuring and describing the collection using semantic web technologies, PROV is keen to support the reuse of this valuable contextual information by enabling it to be more explicitly linked to the collection using machine readable and persistent methods. This will enable the  accumulation of this knowledge of the collection to be assembled built upon more easily. It will also enable the PROV collection to be more actively linked to other sources of knowledge.

PROV has developed and is progressively implementing a data model for associating contextual information to records in its collection. PROV  has implemented that data model using RDF and a Fedora Commons repository. Records are further disaggregated to their component parts using the International Image Interoperability Framework (IIIF) specification. This approach facilitates external users to curate, cite and reference the collection.


Owen ONeill is responsible for a program of work at Public Record Office Victoria (PROV) to implement a number of key software systems for preserving, managing and facilitating access to the PROV collection.  He is an IT professional with experience working on a number of eResearch and digital preservation projects.

Priming the pump: an experiment enabling HASS research students to become digital research practitioners

Mr Marco Fahmi1

1University Of Queensland, St Lucia, Australia, marco.fahmi@uq.edu.au



Adopting digital tools in research opens up new and exciting domains of enquiry. However, the very wide variety of research disciplines, research practices and levels of digital literacy makes attempts to adequately support digital researchers non-trivial and labour-intensive.

One particular challenge is supporting communities that have traditionally been underserved by eResearch and that lack the opportunity and capability to support themselves. One such community is research higher degree students in the Humanities, Arts and Social Sciences (HASS.)

Although HASS disciplines represent more than 40% of Australia’s research output [1], they often do not have a commensurate level of digital research support. In 2018, for example, HASS’s share of federal funding for digital research infrastructure was less than 1% [2].

Among HASS researchers, higher degree research students are the most likely beneficiaries of digital tools as they investigate new research directions and methods. Yet, they encounter informational, technical and cultural barriers that make it difficult for them to engage in digital scholarship.

A 2017 report [3] by the Digital Humanities and Social Sciences program at The University of Queensland highlights the challenges that research students face when pursuing digital research: lack of awareness of how technology is being used in their research disciplines, limited technical know-how, lack of exposure of research supervisor to digital research, focus on degree completion on time and lack of recognition of digital research and of non-traditional theses as legitimate and prestigious research.

Meeting the Challenge

The main suggestion of the 2017 report is to not only create a multitude of points of engagement with research students (through the delivery of training and education programs, provision of advisory services, connecting research students to digital research specialists etc.) but also create the social environment and intellectual context that addresses existing barriers, encourages research students to engage in digital research and increases the likelihood of success of digital research projects.

The Graduate Digital Research Fellowship set up by the The University of Queensland is one such opportunity. Based on Stanford University’s CESTA Fellowships [4], it is a one-year fellowship for confirmed PhD students to gain the skills and experience necessary to carry out digital research in their disciplines.

The fellowships have two main objectives: for the fellows to gain a well-rounded understanding of digital research practice in their discipline as well as practical, hands-on experience working with digital research specialists and building scholarly digital artefacts. Working together as a cohort, and with the support of specialist staff, the fellows are likely to save time and effort they would have otherwise wasted searching for information, experimenting with inadequate tools and reinventing wheels.

The second objective of the fellowships is focused on the research community. Recognising digital research by the university normalises and raises the profile of digital research to the level of legitimate scholarship. It also allows traditional researchers to observe digital research as carried out by fellows up close and to demystify digital skills and practices.


In 2018, the Digital Humanities and Social Sciences program at the University of Queensland partnered with the Graduate School, to offer a one-year Graduate Digital Research Fellowship starting in July 2018. The fellowship was open to all confirmed PhD students who had the support of their PhD advisors and who self-identified as researchers in the Humanities, Arts or Social Sciences.

Fellows must nominate the digital research proposal they will be working on and are required to give a non-technical public seminar to present their digital research area and demonstrate its scholarly merit.

Fellows meet weekly with a multi-disciplinary support team composed of librarians, technology specialists and eResearch analysts. The purpose of the meetings is to manage the fellowships as digital research projects –with clear deliverables, timelines and planned activities; and an opportunity for the fellows to work together as a cohort and exchange ideas and experiences with their peers.

While the fellowships do not offer a stipend, there is a budget allocation to support conference attendance. In addition, fellows have priority one-on-one consultations with technical staff, and participate in digital research workshops and technical seminars on offer at the university.

The Graduate School received ten applications for the 2018 round of the Graduate Digital Research Fellowship. Six fellows were selected across Literature, Political Science, Psychology, Cultural Studies, History, and Communication. The presentation will provide an update to on the Graduate Digital Research Fellowship including preliminary findings for the first three months of its operation and insights into how it can be applied in other environments.


  1. Turner, G. and K. Brass. Mapping the Humanities, Arts and Social Sciences in Australia. October 2014. p.2. Available from: http://www.humanities.org.au/wp-content/uploads/2017/04/AAH-Mapping-HASS-2014.pdf accessed 22 June 2018
  2. DASSH response to the Australian Government Research Infrastructure Investment Plan. 16 May 2018. Available from: http://dassh.edu.au/resources/uploads/publications/DASSH_Statement_on_Australian_Research_Infrastructure_Investment_Plan_16.05_.2018%5B2%5D_.pdf accessed 22 June 2018
  3. Fahmi M. Digital Humanities and Social Sciences at the University of Queensland: A report to the Faculty of Humanities and Social Sciences on digital research activities. 2 May 2017.
  4. Graduate Digital Humanities Fellows. Center for Spatial and Textual Analysis. Stanford University. Available from: https://cesta.stanford.edu/programs/graduate-programs/graduate-digital-humanities-fellows accessed 22 June 2018


Marco’s expertise is in technology- and data-driven research with experience in humanities, social sciences and ecological disciplines.

Curating Arts and Social Sciences collections

Ms Tanya Holm1

1UNSW Library, Coogee, Australia, t.holm@unw.edu.au 


My lightning talk focuses on the Arts and Social Sciences Repository (A&SS Repository). The Faculty of Arts and Social Sciences is responsible for content and the Library is responsible for the curation of collections. These collections include at-risk and/or orphaned collections, high-value collections and non-traditional research material. The material is often directly generated from a research project and the creators of the collections are not necessarily affiliated with the university.

The talk addresses the provenance of current collections: the Irish Anzacs collection being the output of research funded by the Irish Government’s Emigrant Support Program in 2013; the streaming video collection of ‘dance on screen’ which is a product of the ReelDance organization losing its funding in 2012; the collection of audio interviews and transcripts which are the result of ARC-funded research related to the School of the Arts and Media’s participation in an AusStage project; and the Social Science Data Guide collection describing datasets on elections, democracy and autocracy, developed by a researcher from the School of Social Sciences.

Further discussion includes how users engage with the repository (research, study, teaching and artistic development), its content model (content creation and management, the responsibilities of the library and faculty, and rights and permission management) and how it incorporates FAIR principles.

Relevance to conference:

The topic is relevant to the conference topics of ‘Making data FAIR’ and ‘Libraries Supporting Research’ – since the topic of the talk is how the Library is supporting the Arts and Social Sciences faculty in making their collections findable, accessible, interoperable and re-usable via the A&SS repository.


Tanya Holm has been a Senior Data Librarian at UNSW Library in Sydney, Australia for the last 2 years. She overseas the institutional and disciplinary repositories managed by the Library.  Previously she worked in Library Application Support for UNILINC,  a not-for-profit organisation.

Strudel V2: Lowering the barriers to entry for batch computing

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 can be installed on many of  the major operating systems that can setup ssh tunnels, initiate a vnc server and launch a  vncviewer locally. This worked great, we hid all the machinations of using a batch scheduler and  ssh tunnels from the user being a simple gui. We called this Strudel. Then a few years later  someone suggested it would be really sweet if we could handle the whole thing from within a  web browser. Thus was born Strudel-web. We made some neat hacks with strudel web. It used  the same config files as Strudel (desktop). We also found a way to create short lived credentials  and married this to OAuth2 and AAF authentication to make a general way for web apps to  perform SSH Access.  Strudel-web has been chugging along happily for a couple of years now, and we’ve learn a few  lessons, and Strudel desktop even longer. In this talk I’ll talk about some of the things we’ve  learnt and features we’re going to add to strudel v2 including

1. Alternative applications (like Jupyter notebooks)

2. Enhanced separation of configuration between batch scheduler and application

3. Unified codebase for both web and desktop applications

Please come along to hear about this tasty new solution


Chris has been kicking around the eResearch sector for over a decade. He has a background in quantum physics and with the arrogance of physicists everywhere things this qualifies him to stick his big nose into topics he knows nothing about.

Altmetrics: ‘big data’ that map the influence of Australian research

Mrs Stephanie Guichard1, Ms Stacy Konkiel2

1Digital Science, Melbourne, Australia, s.guichard@digital-science.com

2Altmetric, London, United Kingdom, stacy@altmetric.com



Altmetrics : scholarly “big data” illustrating where, how often, and by whom research is discussed and commented; offering universities and research intensive organizations a unique opportunity to understand non-traditional scholarly and public influence of institutions’ research. Crucially, academic librarians are uniquely situated as information experts to discover and interpret altmetrics for their organizations.

This presentation will explore altmetrics data for Australian research published in 2017 in the most popular journals.  We will discuss the rate of online engagement, the most popular platforms for sharing Australian research, and where in the world Australian research is most mentioned in news, public policy, Facebook and Twitter.


Using a linked research insights tool, Dimensions, we extracted 4,354 publications published in 2017 by authors from Australian institutions in the country’s five most popular journals (Scientific Reports; PLoS One; Heart, Lung & Circulation; RSC Advances; and Journal of Materials Chemistry). We imported article identifiers into the Altmetric Explorer database, a leading resource for finding and analyzing altmetrics data then used the database to generate reports and visualizations for research outputs.


Overall, 2,082 (47.8%) of articles had attention in source that Altmetric tracks. The articles gathered 32,533 mentions overall.

In terms of demographics engaging with Australian research, results indicated the following: 27,474 tweets by 17,375 unique tweeters in 163 countries; 1,515 Facebook posts on 1,141 unique Facebook Pages in 51 countries; 2,701 news stories by 635 unique news outlets in 49 countries; and 11 policy documents written by 4 unique policy sources in 4 countries. The presentation will include detailed maps showcasing the country-level engagement with Australian research.


Overall, Australian-authored research from 2017 demonstrated great international influence across a variety of stakeholder groups.

Altmetrics offer a unique view onto the engagement with domestic research and should be considered as part of any organization’s larger reporting and evaluation plans.


I have previously worked in corporate banking and academic publishing before joining Digital Science. I have an interest in promoting academia, particularly literature and history, and have a keen passion for innovative digital research technologies.

Dimensions the next generation approach to data discovery

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? In this session we’ll showcase Dimensions: a platform developed by Digital Science in collaboration with over 100 research organizations around the world to provide a more complete view of research from idea to impact.

We’ll discuss how the data now available enables institutions to more easily gather the insights they need to inform the most effective development of their organization’s activities, and look at how linking different sections of the scholarly ecosystem (including grants, publications, patents and data) can deliver powerful results that can then be integrated into existing systems and workflows through the use of APIs and other applications.

In particular, we’ll explore how the Dimensions approach to re-imagining discovery and access to research will transform the scholarly landscape, and the opportunities it presents for the research community.


Anne Harvey is the Managing Director for Digital Science Asia Pacific with an overall responsibility of supporting clients with their research management objectives.

Anne has been involved in a number of projects including Big Data Computing (which refers to the ability of an organisation to create, manipulate, manage and analyze large data sets and its ability to drive knowledge creation), Australia’s ERA 2012 and 2010 (research assessment exercise).

Anne has a passion for information and research and previous positions include Regional Sales Manager at Elsevier, Business Development Manager at Thomson Reuters.

Singularity.. Not as scary as you think it is!

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 by creating a container of the operating system that will run the application. An example on how we use it in MASSIVE M3 is the installation of the package Caffe [2], the Python-based deep learning framework. MASSIVE M3 primarily runs on CentOS 7 operating system.

Most of the library dependencies needed by Caffe are not available on CentOS because the libraries provided by the operating system are behind the latest. It is possible, of course, to manually compile and install all these dependencies as modules and compile Caffe this way, however, this is very time consuming. The manual process took us one working week to find, configure, compile, and test properly while the Singularity build takes us one day. We did not find any significant performance difference between the natively compiled Caffe and the one installed in Singularity container.

Another advantage of Singularity is that the containers are reproducible. The definition files used to build the containers can be shared, which will make building applications faster and standardized across research teams. Overall, we find that using Singularity to install application enables us to deliver the applications to our users faster, enables us to reliably reproduce and upgrade the applications in the containers, and makes sure that we never have to compile any application ever again. It keeps us sane.


Jafar spends 14 years working in the field of system administration and network security before moving to Monash. He is now happily working with the people in Monash eResearch HPC team, occasionally referencing Pokemon Go in the conversation around the office.

Workspace for Industry 4.0

Dr Damien Watkins1Lachlan Hetherton1, Nerolie Oakes, David Thomas, Damien Watkins, Nirupama Sankaranarayanan

1CSIRO, Clayton, Australia



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 intelligence and human-computer interaction in manufacturing systems. Many of the benefits and challenges in achieving Industry 4.0 are common to the “digital transformation” of other domains and industries. Scientific Workflow Systems (SWSs) have been used both within and between many scientific domains to facilitate such digital transformations. Currently CSIRO is using its own SWS, Workspace, to prototype elements of an Industry 4.0 architecture and test the usefulness of using an SWS as the backbone of an Industry 4.0 platform. In this paper we introduce the concepts of Industry 4.0, SWSs and Workspace, and describe the suitability of the Workspace framework for creating applications and workflows compatible with Industry 4.0 requirements.

Industry 4.0

Industry 4.0 (CSIRO Manufacturing (2018), German Trade and Invest (2018), Wikipedia 2018) is driven by a number of factors including: increasing computational power and data volumes, advances in connectivity, advancing analytics and machine/business-intelligence, new forms of human-machine interaction and improvements in transferring digital instructions to the physical world (Department of Industry, Innovation and Science 2018). Industry 4.0 systems often create a “Digital Twin” of a real manufacturing environment to support monitoring and facilitate decision making – either by the systems themselves or by human operators. These manufacturing environments are not limited to a single physical site: indeed, they may span many traditional borders such as companies, countries, computer systems and technology domains. This means that they are inherently heterogeneous and complex. Platforms that simplify the development and/or deployment of such systems will add to their attractiveness to industry.


A SWS is a workflow system which allows the composition and execution of a sequence of computational steps in a scientific application. Many SWSs support distributed development by multiple scientists and as such they normally provide support for: storing the workflow description in a generic format (e.g. XML), execution on multiple operating systems (e.g. Linux, MAC, Windows), the use of multiple programming languages, interfaces for calling different execution environments (e.g. interactive, batch,  PBS, SLURM, AWS, etc.), visualisation capabilities and so forth. The depth of any such support varies greatly between SWS (Deelman 2009, Gil 2007).

Workspace (Cleary et al. 2014, Cleary et al. 2015, Cleary et al. 2017, Workspace, 2014, Watkins 2017) is a SWS that supports the creation of scientific workflows and applications for commercial and research purposes.  Under development at CSIRO since 2005, Workspace has been used in a number of different scientific domains. The Workspace framework provides a single, cross-platform environment to develop and execute scientific software tools and libraries that can be easily accessed by a wide range of users. Examples of Workspace-based workflows and applications in different scientific domains would include: ArcWeld (Murphy and Thomas, 2014, 2018), Amicus (Sullivan et al. 2013), Dive Mechanic (Cohen et al. 2018), HelioSim (Potter 2018) and Spark (Miller et al. 2015). Many of these applications support the development of a Digital Twin of a real world system augmented with CSIRO’s advanced modelling capabilities.

Workspace and Industry 4.0

As can be seen from the descriptions above, an SWS attempts to address many of the challenges of an Industry 4.0 system, providing support for interoperability, digital twining, visualization, cluster/cloud execution and so on. A key feature of Workspace and some other SWSs is the capability of users to extend the inbuilt functionality via an extensible plugin architecture. This flexibility allows individuals and teams to easily add their own data types, algorithms and GUI components into the framework to use and share with others. In the case of Workspace the plugin architecture has been used to expose a number of popular scientific libraries, (such as OpenCV (Open Source Computer Vision Library), PCL (Point Cloud Library) and VTK (Visualization Toolkit) and languages (such as Python, R and MATLAB). One key advantage of Workspace is that it facilitates the creation of standalone applications with custom GUIs that hide the underlying workflows. This makes complex scientific software easy to use in an industrial setting – end users on the factory floor often require a simple GUI application that only exposes access to information and controls necessary for their task at hand.  ArcWeld, Dive Mechanic, and SPARK are examples of rich underlying workflows that have been packaged into user intuitive applications for use in situ by the end user.

Industry 4.0 demonstration facility

An Industry 4.0 demonstration lab is currently under construction at CSIRO Clayton. The system uses a number of devices including DSLR Cameras (Nikon), Time of Flight (ToF) Cameras (ODOS Swift), Projectors (Casio), Kinects (Microsoft) and other devices. The system makes use of a number of computational modelling capabilities developed by the Computational Modelling and Simulation Group of CSIRO. The system has a number of integrated libraries such as CSIRO’s Stereo Depth Fusion functionality. Numerous Workspace-based application/workflows are being developed for tasks such as: individual device control, communications, and visualisation. Mixed Reality output devices (i.e. Hololens, Meta 2) will soon be integrated into the system.

 Figure 1: Logical view of the CSIRO Clayton Mixed Reality Laboratory


Industry 4.0 and SWSs offer similar benefits while addressing similar challenges. Evaluating the suitability of using an SWS such as Workspace in an Industry 4.0 environment using a purpose-built testbed should provide valuable insights into the applicability of the approach. Currently, although this is a work in progress, initial results have been positive and we expect to have more insights to share as the deployment of our testbed continues.


Cleary, P., Bolger, B., Hetherton, L., Rucinski, C., Thomas, D., Watkins, D. (2014), Workspace: A Platform for Delivering Scientific Applications”, Proc. eResearch 2014, Melbourne, Australia, 27-31 October.

Cleary, P.W., Thomas, D., Bolger, M., Hetherton, L., Rucinski, C., and Watkins, D., (2015), Using Workspace to automate workflow processes for modelling and simulation in engineering, MODSIM 2015, Gold Coast, Australia, December 2015.

Cleary, P. W., Watkins, D., Hetherton, L., Bolger, M. and Thomas, D., (2017), Opportunities for workflow tools to improve translation of research into impact, 22nd International Congress on Modelling and Simulation (MODSIM 2017), Hobart, Tasmania, Australia, 3-8th December 2017.

Cohen, R. C. Z., Harrison, S. M., and Cleary P. W., (2018), Dive Mechanic: Bringing 3D virtual experimentation to elite level diving using the Workspace workflow engine, submitted to special issue: Mathematics and Computers in Simulation.

CSIRO Manufacturing (2018), Advanced Manufacturing Roadmap https://www.csiro.au/en/Do-business/Futures/Reports/Advanced-manufacturing-roadmap

Deelman, E., Gannon, D., Shields, M., and Taylor, I., (2009), Workflows and e-Science: An Overview of Workflow System Features and Capabilities, Future Generation Computer Systems, May, 2009, Volume 25, Number 5, ISSN 0167-739X, Pages 528—540,  URL, http://dx.doi.org/10.1016/j.future.2008.06.012, DOI 10.1016/j.future.2008.06.012.

Department of Industry, Innovation and Science (2018), Industry 4.0 URL https://industry.gov.au/industry/Industry-4-0/Pages/default.aspx.

German Trade and Invest (2018) INDUSTRIE 4.0 https://www.gtai.de/GTAI/Navigation/EN/Invest/Industries/Industrie-4-0/Industrie-4-0/industrie-4-0-what-is-it.html

Gil, Y., Deelman E., Ellisman, M., Fahringer, T., Fox, G., Gannon, D., Goble, C., Livny, M., Moreau, L., and Myers, J., (2007), Examining the Challenges of Scientific Workflows, IEEE Computer, vol. 40, no. 12, pp. 24-32, December, 2007.

Miller, C., Hilton J., Sullivan A. and Prakash M., (2015), SPARK–A Bushfire Spread Prediction Tool, R. Denzer et al. (Eds.), Environmental Software Systems. Infrastructures, Services and Applications, 448, 262–271.

Murphy, T., Thomas, D., (2014), A user-friendly predictive model of arc welding of aluminium, Proc. 4th IIW Welding Research & Collaboration Colloquium, Wollongong, Australia, 5-6 November 2014, pp. 47.

Murphy. A. B., and Thomas, D. G., (2018), A computational model of arc welding – from a research tool to a software product, submitted to special issue: Mathematics and Computers in Simulation.

Potter, D. F., Khassapov, A., Pascual, R., Hetherton, L., and Zhang, Z., (2018), Heliosim: A Workspace-driven application for the optimisation of solar thermal power plants, submitted to special issue: Mathematics and Computers in Simulation.

Sullivan, A., Gould, J., Cruz, M., Rucinski, C., and Prakash, M., (2013), Amicus: A national fire behaviour knowledge base for enhanced information management and better decision making, 20th International Congress on Modelling and Simulation, Adelaide, Australia, 1–6 December 2013.

Watkins, D., Thomas, D., Hetherton, L., Bolger, M. and Cleary, P.W., (2017), Workspace – a Scientific Workflow System for enabling Research Impact, 22nd International Congress on Modelling and Simulation (MODSIM 2017), Hobart, Tasmania, Australia, 3-8th December 2017.

Wikipedia 2018, Industry 4.0: https://en.wikipedia.org/wiki/Industry_4.0.


Dr Damien Watkins is the Research Team Lead for the Computational Software Engineering and Visualisation team at Data61/CSIRO. His team is responsible for the development of Workspace, a scientific workflow platform used on projects across CSIRO and a number of Workspace-based applications.  Workspace has been available for external usage since 2014.

About the conference

eResearch Australasia provides opportunities for delegates to engage, connect, and share their ideas and exemplars concerning new information centric research capabilities, and how information and communication technologies help researchers to collaborate, collect, manage, share, process, analyse, store, find, understand and re-use information.

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