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Metadata Validation Pipeline: FAIR Data Gates (2D)

2D metadata pipeline lab: hive sensor records stream through three probabilistic FAIR-compliance gates — field completeness, vocabulary conformance and open licensing — before joining an open archive or dropping into the orphan pile.

Data Science2DEasy60 FPS📱 Mobile-adapted⇄ 3D version

This 2D companion drives the same probabilistic gate logic as the 3D pipeline through a flat top-down view: hive sensor packets stream rightward past three labelled gates, glow green or red by their live metadata quality, and either spiral into the accumulating archive tally or fall into the orphan pile, while the side panel tracks emitted/accepted/rejected counts and a rolling FAIR compliance score.

⚙ Under the hood

2D metadata pipeline lab with three probabilistic FAIR-compliance gates — field completeness, vocabulary conformance and open licensing — feeding a live archive/orphan tally and compliance score.

metadataFAIR dataopen datadata qualityDarwin Coreapiary research

2D · HTML5 Canvas 2D · 60 FPS target · runs fully client-side, no install

Why do records still get rejected with completeness and strictness both at 100%?

The open-license gate is a hard boolean, independent of the other two sliders — if the license toggle is off, every record fails gate ③ regardless of how complete or well-tagged it is.

What does the FAIR compliance score measure?

It is simply accepted ÷ (accepted + rejected) among records that have finished the pipeline — a live read of what share of incoming data is actually reusable under FAIR principles at the current settings.