Customers

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

Digital Globe

DigitalGlobe has been using Mediaflux since 2015 to manage the extreme volume and velocity of data in their commercial imagery archive. From ingest, through to processing workflow, Mediaflux has become an integral part of DigitalGlobe’s data management strategy, and has enabled them to continually expand the level of service to customers.

"Mediaflux provides core data management and workflow functions for the entirety of DigitalGlobe’s commercial imagery archive. Arcitecta plays a crucial role in the DigitalGlobe data management ecosystem. The Mediaflux cluster manages over 20 petabytes of data, ingesting around 70-100TB of new data per day. The DigitalGlobe Mediaflux system currently moves up to 3.5PB (and growing) of data between storage tiers per month."

Turner Brinton
Sr. Manager, Public Relations
DigitalGlobe

DigitalGlobe is the world’s leading provider of high-resolution Earth imagery, data and analysis. With the most sophisticated commercial satellite constellation in orbit, DigitalGlobe helps the world's most innovative companies and more than 40 governments with mission-critical earth information and imagery. DigitalGlobe has become the trusted partner of dozens of industries worldwide – from environmental monitoring and mapmaking to defense and public safety.

University of New South Wales

The University of New South Wales (UNSW) is one of Australia’s leading research and teaching universities, renowned for the quality of its graduates and its world-class research.

The UNSW Data Archive is an institution-wide long-term storage platform for research data built on Mediaflux. The platform allows researchers to securely search and share data with colleagues, and comply with research data policies and codes of practice. The advanced metadata management capabilities of Mediaflux make searches easier and more effective, and enable re-use of valuable datasets. The Mediaflux metadata tools also allow project information to be automatically linked to individual data files, eliminating the need for repetitive data-tagging processes.

The Data Archive is a key element of the UNSW’s long-term data service strategy, which goes beyond simply making storage available to providing a storage service aligned with institutional data management practice and other smart data capabilities. Researchers are able to access the Data Archive via a number of interfaces depending on their specific data management needs. Once files are uploaded, they are locked and versioned, providing a secure and traceable copy of the data. Researchers have direct control of who accesses their data and the ability to track the full history of their evolving projects. The University has gained visibility on which research areas are generating and storing large amounts of data.

See the case study for further details.

More information about the UNSW Data Archive is available at www.dataarchive.unsw.edu.au.

Genome Institute of Singapore

The Genome Institute of Singapore (GIS) is an institute of the Agency for Science, Technology and Research (A*STAR). It has a global vision that seeks to use genomic sciences to achieve extraordinary improvements in human health and public prosperity. Established in 2000 as a centre for genomic discovery, the GIS will pursue the integration of technology, genetics and biology towards academic, economic and societal impact.

GIS uses Mediaflux to manage the rapidly expanding volume of genome sequencing data.

Mediaflux allows GIS to leverage the power of metadata by automatically extracting comprehensive metadata from data on ingest, thus creating an actionable index across multiple data types. The powerful workflow tools within Mediaflux enable researchers to more rapidly find and retrieve the data they need, so they can focus on their research work. Data management tasks that previously took days to accomplish can now be achieved in hours.

An important factor in the success of the deployment was the ability of Mediaflux to seamlessly integrate with other applications at GIS, easing adoption into existing data management workflows. Mediaflux is a sophisticated feature-rich data management platform specifically designed to enable large-scale data integration and discovery for environments such as GIS.

NSW Service for the Treatment and Rehabilitation of Torture and Trauma Survivors

Prior to rolling out CAReHR in 2016, STARTTS were experiencing major data management problems. The data needed to care for patients was separated across multiple incompatible databases, spreadsheets and operational areas, which only dedicated data entry personnel could access or update. Intake officers were relying on data entry clerks to find out whether a client was a previous client or not. Clinicians were bogged down with manual data capture that had to be handed off to others for input into the relevant database. These issues were causing significant inefficiencies, resulting in missed and double bookings, delays in patient data availability and difficulty collating data for reporting processes.

Arcitecta’s clinical data management system, CAReHR, has successfully remedied these problems for STARTTS. Using CAReHR, intake specialists are now able to instantly check if a client is already in the system. Clinicians can access clients’ medical history, review treatment protocols, and add and update records directly in CAReHR, removing the need for manual data capture and eliminating delays in data availability. Rapid access to service utilisation statistics allows STARTTS to improve internal procedures and provides detailed evidence of the effectiveness of operations to funding bodies. CAReHR has increased data management efficiency and effectiveness for STARTTS, so they can now focus on their core mission of improving the quality of patient care and offering services to more people.

“The reality is that now we are able to see more clients much more efficiently, and as a direct result of the statistics we can now access with CAReHR, we are able to expand the service processes beyond what would have been possible before.”

Ms. Carlena Tu
Client Information Manager
STARTTS

The NSW Service for the Treatment and Rehabilitation of Torture and Trauma Survivors (STARTTS) is a specialist, non-profit organisation that for more than 25 years has provided culturally appropriate and cutting edge psychological treatment and support to help people heal the scars of torture and refugee trauma and rebuild their lives in Australia. With over 200 clinicians across varied disciplines, STARTTS use CAReHR to maintain records on over 50,000 clients, with around 1,500 currently under care in multiple disciplines.

Survivors of Torture and Trauma Assistance and Rehabilitation Service

Survivors of Torture and Trauma Assistance and Rehabilitation Service (STTARS) is a non-government, not for profit organisation with no political or religious affiliations that has been providing services to torture and trauma survivors in SA since 1991. STTARS assists people from a refugee and migrant background who have experienced torture or been traumatised as a result of persecution, violence, war or unlawful imprisonment prior to their arrival in Australia.

Following the successful implementation at STARTTS, STTARS chose CAReHR to manage their clinical data. CAReHR is Arcitecta’s clinical data management system, designed to enable health care workers and researchers to more efficiently access and manage patient and treatment data. CAReHR reduces the time and effort required to manage otherwise incompatible or duplicated sources of data on patients, treatments, research and more.

Using CAReHR, STTARS clinicians can easily configure electronic health records to suit their clients’ specific and evolving health care needs. Clinicians can use and change the information in CAReHR without the need for specialist IT staff, and can readily review and compare client data from one visit to the next. Data entered into CAReHR can also be anonymised and extracted for statistical analysis and research purposes.

See the CAReHR datasheet for more information.

Research Data Services

Using Mediaflux, the Research Data Services (RDS) project ties together Australia’s many research communities into a massive collaborative data network providing access to over 37 petabytes of nationally significant research content.

The RDS project is a continuation of foundations project, the Research Data Storage Infrastructure (RDSI). The foundations project focused on establishing the infrastructure that the RDS project now leverages to provide efficient and user-friendly services for the research community.

The RDS funds eight high capacity data nodes across Australia, which are managed by a number of organisations. Data sets cover a broad range of specialties, from high-energy physics to the humanities, from climate change to cancer research, and much more.

The RDS project allows researchers to use and manipulate significant collections of data that were 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 for the RDS 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, using contextual and automatically extracted metadata,
  • have confidence in the integrity of the data, which is checked as it is ingested into Mediaflux,
  • ingest data directly from known lab devices and research applications,
  • track the provenance of data,
  • publish and re-use data, and
  • cross-replicate significant data from one institution to another for disaster recovery.

The RDS project is supported by the National Collaborative Research Infrastructure Strategy (NCRIS).

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.

See what's been written about the use of DaRIS and Mediaflux in research in The University of Melbourne's ResBaz blog.

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.

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 capim.unimelb.edu.au/ for more information.

See what's been written about this project in pages 40 and 41 of Waste + Water Management Australia and in pages 66 to 69 Australian Water Management Review Vol2_2015

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.

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.

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.

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 & The Florey Institute of Neuroscience and Mental Health

The Melbourne Neuroscience Institute at the University of Melbourne and The Florey Institute of Neuroscience and Mental Health 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.

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.