The different storage options available to La Trobe researchers have different characteristics and which one to use depends on the nature of your research and the type of data you are working with.
Please refer to the available research storage matrix for an outline of the most common storage options available to La Trobe researchers. Check out the Data Storage Guide for best practice guidleines.
Access your storage options (La Trobe staff intranet login required)
Below is a summary of the various options;
|Storage platform||Best for|
|La Trobe OneDrive|
- Cloud based storage provided to all La Trobe staff for personal, i.e. not group, datasets.
- Access to external person’s by email invitation of OneDrive owner.
- Access from outside La Trobe network does not require La Trobe VPN client.
- Best for personal or individual user files/datasets.
- Suitable for work-in-progress
- Synchronization of file updates occurs in the background but only while connected to the internet.
|AARNet CloudStor |
- Suitable for storing and sharing files with external parties. (max tested file size for upload is 100 GB). Be aware that web browser may have a maximum upload size limit of 2 GB. An ownCloud or WebDav client can be used to upload files larger than 2 GB.
- Storage Quotas:
Researcher: 100GB (free)
Student: upon application
Research Group: upon application
- Additional capacity can be requested by emailing firstname.lastname@example.org. A charge may apply to increases in quota.
- Individual researcher or share owner is responsible for who can access the data and with what privileges.
- Access from a Unix command line is possible using either a Davfs2 or Cadavar client.
- ownCloud client can be used to synch files from your local workstation to the cloudStor location.
Mobile apps for iOS, Android and Blackberry available.
|La Trobe Network: G:, P:, R: Drives|
- Suitable for sensitive or critical data where the data cannot leave the La Trobe domain.
- Small to medium sized datasets.
- Datasets generated manually or by instruments.
- Access only to staff with La Trobe email address.
- Multiple snapshots per day retained for 30 days with the first snapshot of the month retained for 6 months.
- For G: drive data, users are able to recover data via Previous Versions (snapshots) which run three times a day (6 AM, 12 PM and 6 PM). The 6 AM and 12 PM snapshots are retained for 7 days with the 6 PM retained for 31 days. In addition, a monthly 3 AM snapshot on the first of the month is retained for 12 months.
G: drive data is also replicated to Disaster Recovery (DR) data-center at the Bendigo campus.
- P: and R: drive data is replicated to a standby (DR) system which has daily snapshots at 7 AM retained for 31 days and a monthly snapshot on the first of the month at 1 AM retained for 12 months with recovery requested via ICT.
|Intersect DeepSpace Archive Storage|
- Suitable for static data or files that are not accessed frequently
- Subscription based model
- Suitable for live datasets or files actively being accessed or modified frequently.
- Good for securely transferring, storing and managing large amounts of active research data.
- Ingest data directly from instruments and sensors.
- Automate workflows using scriptable command line tools.
- Uses a combination of disk and tape with two copies stored on tape.
- Transfer data via the dedicated high-speed Australian Academic and Research Network optical fibre network (with no ingress or egress charges between AARNet destinations).
- Transfer data at very high speed using IBM Aspera FaspTM technology.
- Transfer securely using AES-128 data encryption.
- Scale to petabytes of storage.
- Manage access to your data safely and securely, using your existing credentials.
- Share and collaborate with other researchers from universities and research organisations.
- Manage your own data using a convenient web browser interface.
Share files or folders of any size using URLs.
- Share broadly using a URL or limit access to your data, using single-use access tokens.
- Collaborate actively using a web interface.
- Suitable for individual researchers or groups needing to build and manage their own hosted virtual laboratory, using their own research software without the need to buy, operate and maintain hardware and operating systems.
- Suitable for live datasets or files being accessed or modified frequently.
- Subscription based model
- Suitable for High Performance Computing (HPC) and/or computational processing of active datasets in either massively parallel or scale-out computational models.
- Choice of two HPC platforms (Orange and Raijin at NCI).
- NeCTAR Research Cloud for Cloud Computing also an option for creating your own virtual lab of Linux based computers to host your research project.
- Subscription based model.