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GCRI · Foundry

NXS-GRX

NXS-GRX (canonical data, provenance and risk) is the risk data fabric: indicators, datasets and derived risk products for countries and sectors, each with its source, method, version and evidence label.

03The problem it addresses

Risk indicators from different sources do not join cleanly.

NXS-GRX is defined in system profile NRS-S6 of the Nexus Standards. Country analîza xetereyê combines published statistics, Earth observation, model outputs and expert assessments with different definitions, units and update cycles. A risk data fabric harmonises them while keeping each value’s lineage, so that a composite never hides what it is made of.

  • Indicator definitions and metadata in a shared register.
  • Lineage from source to derived product.
  • Evidence labels carried into every output.
04Reference practice

The standards a design like this is read against.

ReferenceRelevance
SDMXExchange of statistical data and metadata
UN fundamental principles for national statistics (resolution 68/261)Quality and independence of published data
W3C PROVProvenance of derived products
06Rooms

The ten rooms of NXS-GRX.

Global Risks Index (NXS-GRX) has the eight rooms every Foundry system shares, set to its own authority, and two specialist rooms, Fusion and Cascades. Each is described by the work it is designed for; the public register records NXS-GRX as declared, not deployed.

RoomKindDesigned to
QereqolHevparOperate, inspect and correct authoritative domain posture for canonical data, evidence, graph, risk, fusion and statistical-geospatial products
MîsyonHevparCoordinate bounded objective-oriented intelligence and human handoff for canonical data, evidence, graph, risk, fusion and statistical-geospatial products
BuilderHevparDesign, engineer and prepare governed changes and artefacts for canonical data, evidence, graph, risk, fusion and statistical-geospatial products
NexşeHevparInspect and compose spatial, temporal and world-model intelligence for canonical data, evidence, graph, risk, fusion and statistical-geospatial products
DaneHevparWork with data, ontology, Chronotopes, graphs, scientific methods and risk for canonical data, evidence, graph, risk, fusion and statistical-geospatial products
CommonsHevparWork with policy, law, standards, clauses, obligations and assurance for canonical data, evidence, graph, risk, fusion and statistical-geospatial products
rêzeya Pergalên StratejîkHevparCompute, model, synthesise and visualise governed analytical products and reproducible reports for canonical data, evidence, graph, risk, fusion and statistical-geospatial products
ZanînHevparWork with institutional memory, records, citations, runbooks and learning for canonical data, evidence, graph, risk, fusion and statistical-geospatial products
FusionPisporConstruct defensible canonical products from heterogeneous records, observations, entities and relationships
CascadesPisporInvestigate propagation across interdependent water, energy, food, health, biodiversity, infrastructure, technology, supply-chain and other configured domains
07Access

Authorised projects only.

Access requires an authorised project with an accountable owner, data terms and a review plan. Enquiries go to forma têkiliyê.

08Risk Academy

Where NXS-GRX subjects are taught.

Risk Academy, led by the Nexus Consortium, teaches the subjects practised in NXS-GRX in these disciplines; the Global Centre for Risk and Innovation (GCRI) links to the Academy as a partner and does not provide its courses.

09Çavkanî

Where this page’s references lead.

Sazî û belgeyên ku ev rûpel li hember wan tê xwendin. Rewş û çap diguherin; her girêdan diçe ba saziya derxistinê.

10Pirs

Pirs û bersiv.

Is the system available now?
Allocations open when their terms and review capacity exist; information and enquiries are open today.
Foundry

Rêbazek, danehevek an pirsek bîne.

Agahî û pirs îro vekirî ne. Pirsek referansekê distîne û gava piştî wê dide nasîn; serlêdan, drav, veqetandina hesabkirinê û tomarkirin tenê dema ku tîm, mercên wê û kapasîteya vekolînê hebin vedibin.