Customers

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

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.

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.

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 Brain & Mind Research Institutes

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.

See the case study for further details.

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.

The Royal Netherlands Meteorological Institute (KNMI)

KNMI is the national institute for weather, climate research and seismology. It disseminates weather information to the public at large, the government, aviation and the shipping industry in the interest of safety, the economy and a sustainable environment. To gain insight into long-term developments, KNMI conducts research on climate change.

KNMI is a long term user of SGI DMF, using it to manage large oceanographic and meteorological datasets. KNMI has adopted Mediaflux to add a metadata management capability for the organisation to facilitate the location and management of data.

Institute of Cancer Research

The ICR is Europe's leading cancer research centre and is ranked as the UK's top academic research centre, based on the results of the Higher Education Funding Council's Research Assessment Exercise. The ICR works closely with partner The Royal Marsden NHS Foundation Trust to ensure patients immediately benefit from new research. Together the two organisations form the largest comprehensive cancer centre in Europe. Over its 100-year history, the ICR's achievements include identifying the potential link between smoking and lung cancer which was subsequently confirmed, discovering that DNA damage is the basic cause of cancer and isolating more cancer-related genes than any other organisation in the world.

ICR has adopted Mediaflux to improve the management of its extensive genome sequence data repository.

National University of Singapore Centre for BioImaging Sciences

The National University of Singapore's Centre for BioImaging Sciences is developing state-of-the-art imaging and computational approaches to important problems in biology. The centre includes a number of optical microscopes, each of which is capable of generating 250,000 files in a single experiment. Data sets are large, ranging from 10 GB - 1 TB and need to be stored and analysed, so having a system which optimises compute, memory, I/O BW and storage that delivers both capacity and performance is important.

The Centre has adopted Mediaflux to ingest and organise the millions of files, convert them from the proprietary formats of microscope manufacturers to standard OME-TIFF format, and automatically extract metadata that can be used to support subsequent searches and to drive routing the right data to the right location for processing and transformation.

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.

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.

Diamantina Institute

The Diamantina Institute at the University of Queensland utilises Mediaflux to manage its repository of data for the Centre for Immunology and Cancer Research for 200 researchers.

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.

University of Sydney

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.

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.

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.

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.