F-UJI FAIR Trends

Monthly automated FAIR assessment of every registered dataset DOI — measured trends, by assessment date.

Average score by assessment run

Per-platform averages

Each column is one assessment run; the join is by assessment date, so movement is measured, not inferred.

Where the points are lost — per-metric pass rates

Latest run, worst first. This list is the to-do list: a metric moving from red to green is attributable to a specific fix on a specific date.

How this page measures

One point per assessment run. Every monthly run of the self-hosted F-UJI server appends a dated snapshot to fair-history.jsonl — per DOI: the total, the F/A/I/R split, and each metric’s earned score and verdict. This page reads the per-run aggregates. Trends here are by assessment date: the same DOIs, re-measured — so a moving average means the metadata changed, not the cohort.

Comparability. Scores are comparable only within one metric version (pinned v0.8, 17 metrics). v0.8 runs structurally low — several metrics fail on almost every real-world repository — so 35–60% is the normal band, and the interesting signal is movement, not level.

Averages weight each assessed DOI equally.

When a source fails. The history feed is the only thing this page reads. If it does not answer, a red banner says so and every figure renders as “—” with the reason attached. No number on this page is ever produced by a failed request — a missing measurement and a measured zero are different facts, and they are drawn differently.

Every term on this page

Part of the AuScope Research Impact tracker · Assessed with a self-hosted F-UJI server · Feed: fair-history.json