Australia’s Research Council Drafts a FAIR Data Policy for Future Grants

What happened: On August 11, 2026, the Australian Research Council (ARC) released a draft FAIR Data Policy for sector consultation, the latest step in its ARC Research Data Framework and the PID Action Plan it committed to earlier in 2026. The draft would embed the FAIR principles — Findable, Accessible, Interoperable, Reusable — into future National Competitive Grants Program (NCGP) scheme requirements, setting consistent expectations for how ARC-funded research data is managed, described, and made available. Feedback is due by close of business September 16, 2026, to arc-researchevaluation@arc.gov.au.

What the draft actually covers, and what it defers

Notably, this first version of the policy scopes itself to only the Findable and Accessible components of FAIR — ARC has explicitly flagged that Interoperable and Reusable requirements will follow in later iterations rather than landing all at once. Alongside the core FAIR requirements, the draft addresses responsible data stewardship, gives explicit weight to Indigenous Data Sovereignty principles, and references the legal, ethical, and security safeguards that already apply to ARC-funded data under existing schemes. Because it applies to future NCGP schemes rather than retroactively to current awards, institutions have a real window to comment before it becomes a live grant condition, but should not assume the eventual rollout timeline will be generous once finalized.

How this sits alongside ARC’s other 2026 changes

This is the third major ARC policy move CASRAI has tracked in 2026, following the ARC Open Access Policy 2026 update that took effect July 1, and sits inside the broader Australian grants-administration landscape covered in CASRAI’s guide to Australian research administration across NHMRC Sapphire, HERDC, and ERA. Taken together, the pattern is consistent: ARC is standardizing what “compliant” looks like for outputs (open access) and is now moving to do the same for the underlying data, rather than leaving data management practice to individual institutional policy.

What research data offices should do during the comment window

Compare the draft’s Findable/Accessible requirements against your institution’s current data management plan template and repository infrastructure. If your repository doesn’t currently mint persistent identifiers for datasets or expose machine-readable metadata, that’s the gap this policy is aimed at closing first.

Benchmark against an existing maturity framework rather than starting from scratch. CASRAI’s dictionary entries on the RDA FAIR Data Maturity Model and the FAIR Implementation Profile (FIP) both give structured ways to self-assess Findable/Accessible readiness before ARC’s own assessment approach is finalized.

Get versioning and file-structure practice into shape now, since it underpins Findability in practice: CASRAI’s guides to versioning research datasets and structuring research data for analysis cover the concrete mechanics reviewers and auditors will actually check.

Submit feedback by September 16 if your institution has a view on the phased Findable/Accessible-first approach, the Indigenous Data Sovereignty provisions, or the practicality of applying this uniformly across NCGP scheme types — ARC is explicitly asking for sector input before locking the structure in.