Research Data
Every output, accounted for.
Research data governance: management planning, storage and retention, sharing and access, and the records that let a provider show its research outputs are accurately recorded.
What we build
The data set
Data management frameworks
Policies and plans covering collection, storage, retention, security and disposal of research data across its lifecycle.
Output records
Research output registers and reporting pipelines so activity is recorded accurately and reportable on demand (HESF 4.1.3).
Sharing & access
Access, licensing and sharing arrangements that respect ethics approvals, agreements and Indigenous data governance.
Design principles
Data governance that gets used
- Plans researchers can complete without a helpdesk ticket
- Retention rules mapped to funder and ethics requirements
- Registers built once, feeding reporting many times
- Sensitive-data handling documented, not assumed
- Breach and incident pathways aligned to institutional policy
- Systems guidance neutral — frameworks before platforms
Bring the data into governance
Start with an inventory of what exists — we will map it against what the standards expect.