AuScope Research Impact

The taxonomy is real — 87 projects across all six lenses — but lens is not a field on any dataset, publication or instrument record. It is inherited through 6 hand-written platform→project links, so dataset counts resolve to only 4 of 6 lenses. Lenses become the spine once a lens is recorded on the records themselves and publications carry a project tag.

Attributed publications

The headline count. Papers carrying either an AuScope identifier or an explicit written acknowledgement — verified, candidate, acknowledged-in-text and infrastructure-enabled combined. Every headline figure on this site counts only these.

Keyword only

No confirmed link yet. Found through an AuScope-related search term, with no identifier and no acknowledgement found. Under review, and excluded from every headline figure on this site.

AuScope software

Used AuScope-supported software. The paper reports using AuScope-supported software such as GPlates or Underworld. Counted separately from attributed publications, because the software is used far beyond AuScope.

Citations

Times a paper has been cited, per OpenAlex. Counts come from OpenAlex and only ever increase in this tracker: a lower number from a later API call is treated as an API inconsistency, not as a correction.

Evidence grade

How firmly a paper is linked to AuScope. Every publication is graded by its strongest verifiable link: an identifier on the paper first, then an acknowledgement in the text, then a bare keyword match. Only the first two kinds are counted in headline figures.

Measured

Counted from records the tracker holds. A direct count of records in the tracker at the stated date. Click the number to see the rows it counts.

Snapshot

Frozen at the build date. Captured when this page was last built, not read live. The world may have moved since the stated date.

Estimate

Derived, not counted. Calculated or extrapolated from other figures rather than counted directly. The method is stated next to the number.

Partial

Some sources did not answer. This figure is real but incomplete: at least one source it depends on failed or was still loading. Treat it as a floor, not a total.

Unavailable

The source did not answer. The source behind this number failed or timed out, so no number is shown. This is missing data, not a zero.

Lens

AuScope's own grouping of its programs. The Downward-Looking Telescope frames AuScope's work as six lenses onto the continent. Lenses are a program taxonomy applied to projects; most of the site's evidence is not yet mapped to one, so lens counts describe coverage of the taxonomy, not the whole evidence base.

FAIR

Findable, Accessible, Interoperable, Reusable. Four principles for research data that a machine, not just a person, can find and use. FAIR is about how well a dataset is described and published — not about how good the science is.

F-UJI

An automated FAIR-assessment tool. F-UJI reads a dataset's public metadata and scores it against a fixed metric set. It measures the record, not the data: a superb dataset with a thin DataCite record scores poorly, and that is the point — the record is what a machine sees. Reference ↗

DOI

Digital Object Identifier. A permanent identifier for a published thing — a paper, a dataset, an instrument. Resolving it through doi.org should always reach the current home of that thing, even if the website behind it changes.