Secure data exchange layers
Agencies exchange data through a shared layer with authentication, encryption, logging and service catalogues, instead of ad hoc point-to-point links.
GCRI · Digital Public Infrastructure
Data engineering, interoperability and stewardship make data exchange between public systems possible and trustworthy. In this field it covers exchange layers, common data models, consent-based sharing, provenance and data quality for public infrastructure.
Data engineering, interoperability and stewardship cover the pipelines, standards and governance that make data usable and trustworthy. They determine whether information from different sectors can be combined for joint risk assessment. In digital public infrastructure and cyber and digital resilience, sound data engineering allows hazard, exposure and financial data to be linked consistently. It supports transparent and repeatable analysis of interconnected risk. The canonical description is on the STEM Commons.
Agencies exchange data through a shared layer with authentication, encryption, logging and service catalogues, instead of ad hoc point-to-point links.
Shared definitions for people, addresses, businesses and services are agreed so that exchanged data keep the same meaning.
Data flows that depend on people's consent are designed with consent records, revocation and audit trails.
The model, its assumptions, its data and its uncertainty, in the form a scientist or engineer would check. Structures follow published methods. The values drawn are illustrative, not findings.
The data classes behind Data engineering for DPI and what is recorded about each before it is used.
| Data class | Provenance recorded | Resolution stated | Licence checked |
|---|---|---|---|
| Satellite imagery, optical and radar | sensor, processing level, acquisition date | pixel size and revisit | per scene |
| Reanalysis and climate model output | model, experiment, member, version | grid and time step | per release |
| In-situ sensors and gauges | station, instrument, calibration record | point and sampling rate | per network |
| Population and asset exposure | method, vintage, input sources | cell size and unit | per release |
| Boundaries and reference geography | producer, edition, date | scale | per edition |
Datasets and records used by data engineering, interoperability and stewardship on this platform, with the role each plays and the label its values carry. Sources are listed in the source register.
| Data | Role | Label |
|---|---|---|
| Exchange layer logs | Usage and audit | OBSERVED |
| Data model registries | Semantics | Published statistics |
| Consent records | Permissions | OBSERVED |
Process explorer · Process
10 steps·4 stages·2 gates
Process
An admitted mission becomes a cycle project; the build is pinned, verified and signed, and the Global Risks Forum (GRF) records acceptance for exercise, not permission to deploy.
The programme year · NXS-FAC · UniverseDesigned programme process, not a record of operation. No cycle has run and every programme is at service level R0. A gate is a programme decision, never a public-authority approval, certification or deployment authorisation. The record order follows the Builds and Releases room lists of NXS-FAC.
Pipelines are tested with automated quality checks, schema validation and lineage audits. Reconciliation against source systems confirms completeness.
| Check | How it is done |
|---|---|
| Schema validation | Exchanged data are validated against agreed models |
| Audit trail completeness | Every exchange is logged and attributable |
| Data quality monitoring | Key fields are monitored for errors and completeness |
Incompatible standards, missing metadata and restrictive licences block integration. Legacy systems and undocumented transformations introduce silent errors.
Data and Compute stewards data engineering, interoperability and stewardship for the Consortium and reviews how it is applied across platforms.
Reports is the Consortium's quarterly publication. What you know about this subject can become evidence, a case or a correction in the next edition, credited to you and published under CC BY 4.0 where it is your own work.
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