SRAE is an AIHW owned and operated secure cloud hosted platform built on top of Amazon Workspaces. This secure environment provides researchers with secure access to data and data custodians with strong governance controls.
SRAE is accessible to users both internal, and external to the AIHW. The platform strives to provide users with remote access functionality from any device whilst having scalability and high-performance capability.
SRAE is a fully functional environment and plans continue to expand its capabilities to include features such as: data cataloging, curation services, data views, data cubes, researcher support services and much more
SRAE is based around a per project framework, with each project is allocated a secure shared workspace. SRAE users are assigned a virtual PC that they can log into and access the shared workspace and work collaboratively to achieve the projects outputs. A variety of software tools such as R, Python and STATA are available on the virtual PC’s.
Data ingress and egress is controlled by forcing data going into an out of the environment through a series of portals where the data can be verified by a data controller before being approved for ingress or egress
The diagram below gives an example of the process.
For more information on using SRAE for your next project please contact the SRAE support team at [email protected]
Amazon Web Services (AWS) is a platform that provides online managed services to consumers and organisations in order to support their software applications. These applications include (but not limited to):
For more information on these services go to AWS website
For more information on the whole of agreement see A new whole-of-government volume sourcing agreement has been established with Amazon Web Services (AWS).
For more information on data classification see ASD certified Cloud Services
Yes - The data that is stored in AWS is a secure environment and the data centre is located in Sydney Australia which is bound by Australian data sovereignty laws. AIHW has implemented multiple security controls to ensure the data is safe and consistently monitored (See Below).
AWS is certified by the Australian Cyber Security Centre to house data up to "PROTECTED” and obtained security re-certification (iRAP) as of January 2020.
Many other government agencies currently housing their applications and information on AWS platforms including
Antivirus and Malware Scanning:
All files that interact with applications are scanned for malicious code before entering the environment
Access is limited to the project manager and any authorised researchers. AIHW ICT staff administers the environment, and may track who is accessing the data for security monitoring purposes.
Anywhere you can access the Internet you can securely access SRAE.
The short answer is as much or as little as you want. Typically projects come with 250GB shared storage space. However, this can be easily increased if you need. The amount of data you choose to store is limited by the ability to process it.
The standard supplied workstations vary in power from 2 vCPU and 8GB RAM up to 8 vCPU and 32GB RAM. SRAE is easily configurable, if the standard workstations do not meet your needs have a chat to us at SRAE support to see what we can do.
All SRAE virtual machines come with R, Python, R Studio and STATA.
Aside from statistical software users also have access to Microsoft Office.
Secure environments like SRAE are becoming increasingly common, other government and universities such as the ABS datalab and the Sax Institute are developing analogous environments. All have differing capabilities and governance requirements. For example the ABS datalab have government mandated requirements that they maintain ownership of any data that exists in their systems.
SRAE has a policy where data access is defined by the data owner. Users are free to bring in any data they need and egress any data that is in line with their defined governance requirements and practices.
SRAE is flexible and cost effective. Projects run for a specified length of time, there are minimal fees. Costs are billed on an agreed per month or part thereof basis. Additional resources and users can be quickly and easily added.
A minimum project requires two workspaces, one for a data curator and the other for a data researcher. As more researchers come on board additional virtual machines can be added to the project. Costs for additional virtual machines start at $130/user/month.
Packages available on request:
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