Biological Psychiatry Data Commons

An Australian-led data commons enabling discovery and sharing of biological psychiatry data

Medical scientist working with brain and genomic data in a lab
Thematic research data commons is:People

The Challenge

Mental illness affects millions of people worldwide, yet understanding its biological causes remains difficult. Researchers studying conditions such as depression, schizophrenia and bipolar disorder often rely on preclinical models, including cell lines and animal models, to investigate the underlying biological mechanisms.

However, the data generated from these studies is often fragmented across institutions and projects, and there are limited harmonised datasets that allow researchers to compare findings across studies.

Australia’s Consortium for Preclinical Psychiatric Research (CPPR) was established to address this challenge. The consortium brings together over 60 members across 14 Australian universities working collaboratively to generate large-scale molecular datasets using omics technologies.

To support this work, new digital infrastructure is needed to manage, organise and share these datasets in a secure and discoverable way.

The Response

The Biological Psychiatry Data Commons (BPsyc-DC) will provide an Australian led platform that enables researchers to discover, manage and securely access biological psychiatry research data for approved research purposes.

The project will establish a FAIR-aligned data commons, ensuring datasets are findable, accessible, interoperable and reusable. The platform will be implemented using the Gen3 data platform, providing a structured and standards-based environment for managing omics data and metadata.

Key components of the project include:

  • a dedicated Biological Psychiatry Data Commons environment within Gen3
  • community-designed metadata standards and data dictionaries
  • integration with Health Data Australia, enabling national discovery of psychiatry datasets
  • exploration of secure access workflows aligned with trusted research environment (TRE) principles
  • exploration of future infrastructure hosting options, including the ARDC Nectar Research Cloud.

The project will deploy a pilot platform using synthetic datasets before onboarding real datasets generated by Bioplatforms Australia laboratory network and the CPPR community.

Who Will Benefit

The Biological Psychiatry Data Commons will benefit a range of research communities.

The Partners

The Biological Psychiatry Data Commons is delivered through collaboration between national research infrastructure organisations and the Consortium for Preclinical Psychiatric Research (CPPR).

  • Bioplatforms Australia – provides strategic leadership and supports the generation of high-value omics datasets for the project. To find out more, view Bioplatforms Australia’s Australian Psychiatric Research Knowledge Bank project page
  • Australian BioCommons – provides leadership and expertise on data commons development and leads the technical implementation of the Gen3-based data commons and metadata framework. To find out more, view Australian BioCommons’ Building the Biological Psychiatry Data Commons (BPsyc-DC) project page
  • Australian Research Data Commons (ARDC) – provides co-investment and expertise in FAIR data, persistent identifiers and national discovery infrastructure
  • Phenomics Australia – contributes expertise in model organism research and phenotyping data
  • Consortium for Preclinical Psychiatric Research (CPPR) – a national network of psychiatrists, neuroscientists and molecular biologists generating the datasets and guiding the scientific direction of the initiative

Target Outcomes

The project will deploy national infrastructure delivered through the Australian BioCommons with standards to support biological psychiatry research.

Expected outputs include:

  • a Gen3-based Biological Psychiatry Data Commons platform
  • a community-designed metadata framework and data dictionary
  • integration with Health Data Australia for national dataset discovery
  • pilot datasets from the CPPR research community available through the platform
  • guidance on secure access models aligned with trusted research environment (TREs) principles
  • infrastructure recommendations for future national deployment.

Together, these outputs will improve the discoverability, interoperability and reuse of biological psychiatry datasets across Australia.

Who will benefit
Researchers investigating the biological causes of mental illness
DOI
https://doi.org/10.3565/jczf-aa87

Timeframe

January 2026 to February 2028

Current Phase

In progress

ARDC Co-investment

$500,000

Project lead

Prof Suresh Sundram, Monash University; A/Prof Rachel Hill, Monash University; Dr Kelly Scarlett, Bioplatforms Australia; Prof Bernie Pope, Australian BioCommons