The Global Centre for Risk and Innovation (GCRI)
Risk Academy, a Nexortium programmeRisk Science and MethodsDepartment of Geospatial and Risk Data Science
Persistent identifiers, metadata profiles, conformance and the Nexus Standards as the worked example
Risk information travels between organisations only when it is findable, citable and checkable.
risksacademy.comrisk-sciencediscipline
Twin figures for the central Apennines: L'Aquila, Amatrice and Norcia, counted from its layers at their stated dates.
For Risk information standards and interoperability: the faculty's twin of L'Aquila on the planet map, the globe and in 3D. Pick a generator, switch layers, run the instruments; every layer prints its provider and date.
Drag to move, right drag or Shift with a drag to turn and tilt, Ctrl with the wheel to zoom. Keyboard: arrows move, Shift with arrows turn and tilt, + and - zoom, 0 resets, V steps through the views, Escape clears.
Flat plan of the same data: relief, the three reference epicentres with magnitude and depth, and the numbers below; the sampler's figure shows one precomputed field with its parameters. The 3D twin opens on devices with WebGL once its data and library have been checked.
The map loads from this site as it nears the view (MapLibre 6.9.1, checked by hash).
The discipline teaches persistent identifiers and the UNI, versioning and corrections, metadata profiles under STAC, DCAT and PROV-O, licence and provenance metadata, honesty and epistemic state fields that say whether a value is observed, modelled, estimated or unknown, naming and public identity rules, and how a standard is adopted and its conformance shown, with the Nexus Standards as the worked example that evolves through its canonical repository. A graduate can profile a dataset, assign and resolve its identifiers and run the conformance checks that show a typed state.
This area covers the standards that make risk information findable, citable and checkable across organisations: persistent identifiers, dataset and metadata profiles, naming rules, and how a standard is adopted and its conformance shown. It is taught in the department of Geospatial and Risk Data Science, Faculty of Risk Science and Methods, through courses still to be authored and 1 more that also teach it.
8 subtopics, taught across its courses and labs.
Not yet taught by a course: Using Nexus Standards identifiers in practice; Dataset and product metadata profiles; Standards adoption and conformance evidence.
Recent developments in risk information standards and interoperability, each with its source; sources checked on 16 October 2026. Summaries are short readings of the source; follow the link for the full account.
News and research as they are published, per discipline, with the faculty's other tools.
The newest research, preprints, news and humanitarian reports for Risk information standards and interoperability, each with its source and date, load here. Open the research and news hub
No course has this as its primary discipline yet. It is listed so the gap stays visible.
The courses on its authoring list are named below.
Approved for authoringno enrolment and no achievement until authored and reviewed
These courses count in their own primary discipline and also teach this one; they do not count towards its achievement as primary courses.
Also taught here1 courses that count in another discipline
Cited as places where the subject is practised; the institutions named are sources here, and Risk Academy hosts every course.
Nexus Foundry system pages describe what each system and its rooms are designed to do; they are not a service on offer, and studying here gives no access to them.
Open courses in connected disciplines teach the methods this discipline will build on.