Customers

While Arcitecta customers are diverse, the common thread is the need for distributed groups of people to share, manipulate and manage data.

Pathway to Good Health Project

Arcitecta’s Clinical Audit Research electronic Health Record (CAReHR) is being used in the Pathway to Good Health Project. This is an initiative led by the Victorian Department of Health and Human Services.

The aim of this project is to improve the wellbeing of children and young people in out-of-home care by capturing information about their health. This is important to ensure vulnerable children and young people have their physical, developmental, psychosocial and mental health needs assessed and attended to in a timely way.

Paediatricians, mental health clinicians and speech pathologists are using CAReHR to create health assessments and treatment plans for these children and young people, and they are doing this across a number of Pathway To Good Health multi-disciplinary sites.

CAReHR, a combined research and clinical electronic health record, makes it easy to securely store, manage and share clinical information between practitioners and professionals involved in the care of children and young people in out-of-home care in Victoria.

The production of consistent reports of the healthcare needs of these children and young people makes it easier for the teams involved in their care to know what assessments and treatments they have had, and what treatments they need. The use of a simple tick list saves time in collecting this valuable information. The ability to review their responses to treatments from visit to visit also makes it much easier to revise and refine individual plans.

The clinics involved in the Pathway to Good Health Project are using CAReHR to:

  • generate health management plans and health summaries that can be sent to the child’s carer and general practitioner,
  • identify health trends and health interventions needed for children and young people sharing common health conditions, from de-identified clinical information, to ensure their healthcare needs are met and,
  • add assessment templates that cover the domains assessed by paediatricians, speech therapists and mental health workers.

The Pathway to Good Health Project provides the child or young person with a ‘medical home’ and a comprehensive health management plan.

Selected general practitioners conduct initial health checks, after which they refer children to a priority access system for a comprehensive, multi-disciplinary assessment led by a paediatrician.

Currently across Victoria, there are more than 6,400 children and young people living in out-of-home care, according to figures quoted in the Department of Human Services out-of-home care five-year plan.

The successful implementation of CAReHR for the Pathway to Good Health Project follows similar implementations in immigrant health, refugee health and the treatment of infectious diseases at a number of leading hospitals and clinics across Victoria.

Arcitecta sees the potential to enhance patient care across a range of complex health conditions by leveraging the strong customisation and secure collaboration capabilities of CAReHR, in conjunction with clinicians and other healthcare professionals.

See what's been written about this project in Pulse+IT Magazine

CAPIM - protecting and improving our freshwater environment with Mediaflux

Arcitecta’s Mediaflux data management platform is being used to capture and analyse crucial pollution data from the Edgars Creek catchment in the City of Whittlesea in Victoria.

Stormwater is the major source of pollution in urban waterways and poor stormwater management practices in industrial catchments are thought to be an important factor.

Previous studies of heavy metal and hydrocarbon contamination in the stormwater drainage network have found industrial estates produce more than their share of pollution, but also that targeted education and enforcement programs can substantially reduce this pollution.

As part of their commitment to reducing water pollution, the City of Whittlesea wanted to target their stormwater education program at the catchments responsible for the most pollution. The Centre for Aquatic Pollution Identification and Management (CAPIM) was commissioned to identify the dirtiest catchments. CAPIM used a combination of approaches to measure the relative contribution of small industrial catchments to non-point source pollution, including passive samplers, bioassays, and surveys of stream ecology.

These studies involve multiple teams from different scientific disciplines and catchment management roles working together to identify the major trends in pollutant concentrations in each catchment.

One of the challenges of bringing such diverse teams together is to agree on a common vocabulary for the metadata associated with the samples collected. It is common for different disciplines to use conflicting conventions for sample descriptions. Added to this is the range of diverse data types generated in the field and later in the lab.

Data from the field includes measurements from in-situ water quality meters, the results and observations from onsite tests and details of the spatial distribution of heavy metals, hydrocarbons and silver. Data from the lab includes toxicity tests, chemical assays, biomarkers and metabolomics. These data are in the form of text, word documents, spread sheets, scanned images or PDF documents.

Mediaflux helps CAPIM to capture and manage the range of data collected by allowing a wide range of data types and formats, while enforcing minimum standards of metadata. For example, CAPIM can easily associate photos (JPG) and site notes (text) with a site location, and link these unambiguously with analytical results (PDF).

Mediaflux also allows CAPIM to control access to data at a very fine level, which is especially important for projects, which include collaborators from diverse institutions with varying levels of involvement. This means CAPIM can easily separate the location information, which is accessible to all, from the analytical data, which is accessible only to specific parties.

The ability to search for data using spatial queries is extremely useful when combined with the basic metadata such as project name or sampling range. This means CAPIM can easily identify areas of interest based on visual searches and combine these with other geospatial data, such as catchment and drainage maps.

Pollution events are often episodic, so a fast response is critical to identification and diagnosis. Mediaflux helps CAPIM distribute assay results quickly and effectively to all project members.

Visit http://capim.com.au/ for more information.

Australian Government Department of Defence

Mediaflux has been adopted to manage geospatial data holdings, and allow the creation of advanced data management workflows with automated quality assurance, analytical processing and reporting for both in house systems and systems in the field.

Using simple drag and drop, data can be ingested, analysed, packaged, quality assured and stored. Analysers automatically extract metadata for various data types, minimising the manual entry of metadata. Data types include CIB, DTED, CADRG, ERDAS IMG, GeoPDF, GeoTIFF, NITF 2.0, NITF 2.1, MrSID and GeoJPG. Data can be routed via workflow processes that automatically detect anomalies and errors that can be rectified at the earliest opportunity, improving data quality.

Mediaflux enables the export of data into a variety of specified metadata profiles and provides the ability to create customised metadata export profiles.

Previously, a few thousand discrete datasets were ingested each month. With Mediaflux, this has increased to over 40,000 new datasets per month. During the initial stages of setting up the new workflow processes, errors were detected and rectified in over 8,500 existing datasets.

Users are able to instantly search and discover all geospatial data holdings. Multiple search modes are available, including graphically specifying a geographical bounding box, entry of geographical coordinates, specifying a point and radius, or by using a geospatial feature database containing over 7 million place names. Search results can be filtered based on any attribute of the metadata, including dates and data types.

The adoption of Mediaflux has improved coordination, with the approach of “enhance once, use many” enabling better use of fixed capital resources.

Research Data Storage Infrastructure Project

Using Mediaflux, the Research Data Storage Infrastructure Project ties together Australia’s many research communities into a massive collaborative data network providing access to over 11 petabytes of nationally significant research content.

Working in partnership with SGI, Arcitecta is delivering scalable and customised data-connected research platforms that will provide the Australian research community shared with access to nationally distributed data centres (or Nodes), which are expected to grow to over 55 petabytes of research content funded by the RDSI project.

These data sets cover a broad range of specialties, from high-energy physics to the humanities, from climate change to cancer research, and much more. By comparison, the RDSI data repositories will soon contain the equivalent of over 55 times the volume of the entire data store managed by the U.S. Library of Congress.

One outcome of the RDSI project is that researchers will be using and manipulating significant collections of data previously unavailable or difficult to access, driving innovation by enhancing collaboration between researchers nationally and internationally.

The powerful metadata management capabilities of Arcitecta’s Mediaflux software are a key component of enabling the RDSI project. By simplifying rapid collaboration across different data types and data repositories, Mediaflux breaks down the barriers between disparate data, enabling researchers to focus on their work.

Some of the benefits of taking a nationally consistent approach to managing research data and workflows mean Australia’s researchers can:

  • peruse data collections by name, type, owner, date, linked publications,
  • quickly and securely discover and query data as it is ingested, due to the automatic metadata extraction capabilities of Mediaflux,
  • have confidence in the integrity of the data, as it is checked as it is ingested into Mediaflux,
  • ingest data directly from known lab devices and research applications and,
  • access training via a portal that is being provided by Arcitecta to support the research community in coming up-to-speed with the national approach to data management.

Download the case study infographic or watch the video at Mediaflux video on YouTube.

The Research Data Storage Infrastructure Project is a $50m federally funded project, for which the University of Queensland is the lead agent. The RDSI Project, an initiative of the National Collaborative Research Infrastructure Strategy, is funded from the Education Investment Fund under the Super Science (Future Industries) Initiative.

RDSI funding has established eight Nodes across Australia, capable of storing petabytes of research data. Primary Nodes are located in Adelaide, Brisbane, Canberra, Melbourne, Perth and Sydney, with two additional Nodes in Tasmania and Townsville.

Visit www.rdsi.edu.au for more information.

Ten to Men - managing data to improve men's health

Ten to Men: The Australian Longitudinal Study on Male Health is Australia’s first major longitudinal study of male health.

Funded by the Commonwealth Department of Health, this study, commissioned under the Federal Government’s 2010 National Male Health Policy, is being undertaken by The Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, at The University of Melbourne.

Males die earlier than females, and have a greater burden of injury and disease.

This study aims to follow males aged ten to 55 at recruitment over the course of their life to gather data on a wide range of health issues relevant to males at different life stages, to identify the factors that contribute to good health and wellbeing in men.

The driver of the research is to address the well-documented disparity in health outcomes between males and females, and between certain groups of males, such as those living in rural Australia compared to their urban dwelling counterparts.

The study will collect data on a range of mental and physical health issues that represent a high burden of disease in males, such as chronic diseases in older males, self-harm and injury in younger males, and the social determinants of health.

The findings of the study will be used to support the development of policies and programs to strengthen male health and improve male health outcomes.

Arcitecta worked with the University of Melbourne to develop a respondent management system (using Mediaflux) for the study, accommodating data from over 16,000 participants, with the capability to manage a range of future study activities.

With Mediaflux, the Ten to Men study team can now log participants’ contact details and contact events, as well as linking individuals to households, allowing associated data to be linked to participants, households, or other relevant objects.

The Mediaflux system was built with robust security and auditing capabilities, allowing the history of data changes, particularly to participant status and address changes, to be readily identified.

The Mediaflux user interface is designed for use by non-technical staff for day-to-day management of participants, and was built using an asset model application.

Australian Registry of Wildlife Health

The Australian Registry of Wildlife Health application, developed by Arcitecta and based on Mediaflux, addresses a critical need within the biosecurity community for systems to rapidly detect, diagnose and respond to emerging diseases in wild and feral animal populations in Australia to best secure our collective health and favourable international trade status.

The Registry application is a highly detailed laboratory information management system for wildlife, featuring mapping capabilities. Specific disease outbreaks can be tracked and documented by linking data to reference maps, considering factors such as vegetation, topography, human use of land, and transport corridors. Incorporation of national animal health data standards enables the convenient sharing of wildlife health data across sectors.

The Registry application is integrated within the WildHealth community space made available by the Australian Biosecurity Intelligence Network. It is available to biosecurity professionals, universities, scientists, researchers, environment departments, veterinarians, zoos and aquaria, and offers a significantly more productive environment.

The previous application was institution based and single user, requiring merging of data from each institution to a master copy. The new Registry application is web based and multi-user, incorporates data from all institutions in real-time, with improved query functionality as well as the mapping capability.

See the case study for further details.

Alternatively, download the infographic case study for further details.

See what's been written about this project in Agricultural Science Journal.

Taronga Zoo

The Taronga Zoo has partnerships with the Australian Wildlife Health Network, the Australian Marine Mammal Research Centre, and the Taronga Training Institute and places an emphasis on scientific research, conservation and education to create direct and positive connections between wildlife and people, protect endangered species, increase understanding of wildlife and inspire community action. The Taronga Zoo utilises Mediaflux Diagnostic Imaging Network System (DINS) to enable the distributed, collaborative analysis of image data. Scanned images are are published to a secure web site where authorised individuals can view them and participate in a chat session to discuss the content.

Australian Biosecurity Intelligence Network

Australian Biosecurity Intelligence Network (ABIN) aims to dramatically improve the ability of the biosecurity community of researchers, industry and governments to work together to address common problems or emerging biosecurity issues through real time access to data, information and know-how, and use of leading edge tools and technologies to generate biosecurity intelligence. WildHealth offers a platform open to biosecurity professionals, universities, scientists, researchers, environment departments, veterinarians, zoos and aquaria. Specific disease outbreaks can be tracked and documented by linking the database to generic maps to consider factors such as vegetation, topography, human use of land, and transport corridors. The Wildhealth application was built for ABIN by Arcitecta using Mediaflux as a platform.

CRC for Mental Health

The Cooperative Research Centre for Mental Health is conducting research into the causes of mental illness.

The capture and management of data forms the foundation of studies into Alzheimer's disease, Parkinson's disease, schizophrenia and various mood disorders.

The aim of these studies is to identify the biomarkers that provide an early indication of the onset of mental illness.

Being able to diagnose and treat mental illness early delivers a much better patient outcome and health benefit.

Working with CRC for Mental Health researchers, Arcitecta is building a web-based repository to:

  • make it easier for clinicians to capture data at the bedside
  • easily import and export new and existing data
  • enhance collaboration between researchers
  • allow users to develop additional functions as needed

providing the CRC for Mental Health with one system to store, search and manage over 100 terabytes of complex data, accelerating searches and simplifying secure data sharing with national and international research partners.

Project funding: Victorian Department of Business Development and Innovation, with in-kind contributions from Arcitecta and CRC for Mental Health. The CRC is an Australian Government initiative.

Download the case study infographic or watch a video interview with Dr Noel Faux on YouTube.

See what's been written about this project in Pulse+IT Magazine and Lab Online.

Melbourne Neuropsychiatry Centre

The focus of the Melbourne Neuropsychiatry Centre (MNC) at the University of Melbourne is furthering the understanding of neurobiological and psychological factors involved in mental illnesses, and applying new knowledge acquired from research in a clinical (patient-based) context.

As well as managing its research data efficiently, an important function for MNC is to publish information about its extensive research data collections, including brain imaging, clinical and neuropsychological data.

MNC has adopted the DaRIS application, developed by the Centre for Neuroscience Research, for the management of its data. DaRIS, based on Mediaflux, organises metadata according to a Project, Subject, Study, Dataset (PSSD) model and captures experimental methods. The deployed solution exports RIFS-CS XML describing MNC's data collections to ANDS, via the University of Melbourne aggregator.

DaRIS and Mediaflux manage the MNC's important research data collections efficiently and effectively, and fulfil MNC's obligation to publish accurate and timely information to the research community.

Queensland Centre for Medical Genomics

The Queensland Centre for Medical Genomics (QCMG) is a member of the International Cancer Genome Consortium, sequencing the genetic codes of 25,000 tumours from 50 different types of cancer over 5 years. Managing the volume of data and consequent workflow is a major practical challenge, and QCMG has adopted Mediaflux to mange the ingestion of 5TB of summarised data per week, its cataloguing, transformation and distribution.

QCMG is part of the Institute of Molecular Bioscience at the University of Queensland.

See the case study for further details.

University of Sydney Australian Stuttering Research Centre

The Australian Stuttering Research Centre at the University of Sydney was established in 1996 and conducts research into the nature of stuttering. It conducts clinical trials of stuttering treatments for adults and children and trains future researchers in the field. Mediaflux is used to ingest, manage and annotate the core audio material that is a crucial ingredient into the Centre's research.

University of Sydney Brain & Mind Research Institute

The Brain and Mind Research Institute at the University of Sydney utilises Mediaflux and the Distributed and Reflective Informatics System (DaRIS) for the management of its important research data collections.

Data is stored in a managed repository, and DaRIS supports uploading data directly into the system from the source. Image data can be transformed to other formats (e.g. NIFTI) and transferred as required to a HPC server for processing. DaRIS organises metadata according to a Project, Subject, Study, Dataset (PSSD) model and captures experimental methods. Project information, such as experimental workflow parameters, are stored by DaRIS using Mediaflux. If required, metadata can be transformed to other standard XML schemas, such as RIF-CS for transmission to the Australian National Data Service (ANDS) Collections registry.

DaRIS enables access to de-identified data for authorised users to curate, preserve and, where appropriate, re-use data in the future.

DaRIS was originally deployed by the Centre for Neuroscience at the University of Melbourne and is now at a number of Australian universities under the auspices of the National Imaging Facility.

Tasmanian Partnership for Advanced Computing

The Tasmanian Partnership for Advanced Computing (TPAC) has established a library of oceanographic and climate data that brings together the resources and data held by the Antarctic Climate and Ecosystems CRC, the Australian Government Antarctic Division, the Bureau of Meteorology Research Centre, CSIRO Marine & Atmospheric Research, and the University of Tasmania and provide access to the marine and climate scientific communities.

Based on Mediaflux, translation services have been implemented to conform THREDDS catalogs to NetCDF Climate and Forecast (CF) Metadata Convention, providing significant cost saving for anyone to translate these types of data.

University of Western Sydney

The University of Western Sydney utilises Mediaflux and the Distributed and Reflective Informatics System (DaRIS) for the management of its important research data collections.

Data is stored in a managed repository, and DaRIS supports uploading data directly into the system from the source. Image data can be transformed to other formats (e.g. NIFTI) and transferred as required to a HPC server for processing. DaRIS organises metadata according to a Project, Subject, Study, Dataset (PSSD) model and captures experimental methods. Project information, such as experimental workflow parameters, are stored by DaRIS using Mediaflux. If required, metadata can be transformed to other standard XML schemas, such as RIF-CS for transmission to the Australian National Data Service (ANDS) Collections registry.

DaRIS enables access to de-identified data for authorised users to curate, preserve and, where appropriate, re-use data in the future.

DaRIS was originally deployed by the Centre for Neuroscience at the University of Melbourne and is now at a number of Australian universities under the auspices of the National Imaging Facility.

Monash Biomedical Imaging

Monash Biomedical Imaging at Monash University utilises Mediaflux and the Distributed and Reflective Informatics System (DaRIS) for the management of its important research data collections.

Data is stored in a managed repository, and DaRIS supports uploading data directly into the system from the source. Image data can be transformed to other formats (e.g. NIFTI) and transferred as required to a HPC server for processing. DaRIS organises metadata according to a Project, Subject, Study, Dataset (PSSD) model and captures experimental methods. Project information, such as experimental workflow parameters, are stored by DaRIS using Mediaflux. If required, metadata can be transformed to other standard XML schemas, such as RIF-CS for transmission to the Australian National Data Service (ANDS) Collections registry.

DaRIS enables access to de-identified data for authorised users to curate, preserve and, where appropriate, re-use data in the future.

DaRIS was originally deployed by the Centre for Neuroscience at the University of Melbourne and is now at a number of Australian universities under the auspices of the National Imaging Facility.

University of Melbourne & Florey Neuroscience Institutes

The Centre for Neuroscience at the University of Melbourne and the Florey Neuroscience Institutes have utilised Mediaflux since 2006 to manage a repository of MR imagery and related metadata. The imagery is ingested in DICOM format and translated to NIFTI and Analyse formats for processing. Metadata are organised according to a Project, Subject, Study, Dataset (PSSD) model and capture research workflows and experimental methods. A domain specialist defines the required metadata (including experimental workflows), and role based permissions to control access to data.

The system is now known as the Distributed and Reflective Informatics System (DaRIS) and operates in a distributed topology with additional nodes, established under the auspices of the National Imaging Facility, at the University of Queensland Centre for Advanced Imaging, Monash University, the University of Western Sydney, and the Brain and Mind Research Institute at the University of Sydney.

See the case study for further details.

Queensland University of Technology

The Queensland University of Technology (QUT) provides a career-oriented education that helps graduates find employment in their chosen career, in an environment that uses the latest technology to make learning stimulating and enjoyable. The QUT Research Data Repository is built on Mediaflux. A recent project has enabled the upload of metadata describing QUT research datasets to the Australian National Data Service (ANDS) Collections registry. The Research Data Repository uses a local schema with more granular metadata that is mapped to Registry Interchange Format - Collections and Services (RIF-CS) Schema and fed to ANDS.

National Imaging Facility

The National Imaging Facility provides state-of-the-art imaging of animals, plants and materials for the Australian research community. Mediaflux and the Distributed and Reflective Informatics System (DaRIS), originally deployed by the Centre for Neuroscience at the University of Melbourne, are now deployed in a distributed network at the Centre for Advanced Imaging at the University of Queensland, Monash University, the University of Western Sydney and the Brain and Mind Research Institute at the University of Sydney.

openEHR

openEHR is an international not-for-profit foundation, working towards making the interoperable, life-long electronic health record a reality and improving health care in the information society. openEHR has developed open specifications and knowledge resources and has established the Clinical Knowledge Manager (CKM) web portal for those who wish to participate at any level in the authoring of clinical archetypes. This will formalise the authoring, review and release process and provide an environment where interested clinicians can learn, participate and contribute to the collective effort. The web portal is build on the Mediaflux platform.