The Global Centre for Risk and Innovation (GCRI)
Public-interest data infrastructure is the set of statistical systems, administrative registers, open data portals, geospatial and research repositories that governments, researchers and citizens rely on. When it is underfunded, fragmented or politicised, decisions are made blind or on the wrong numbers. This page sets out how public data systems are built and sustained, how their quality and openness are measured, and what evidence serves the institutions that run them.
GCRI · In development · service level R0
Public interest data infrastructure is the set of statistical systems, registers, open data portals and repositories that produce and share data for public decisions and research. It depends on independence, sustained funding and good metadata, and its value multiplies when data are openly licensed and well described.
For public interest data infrastructure, in GCRI's spatial-intelligence reading, the map opens on night lights, true-colour imagery and population density with true colour from NASA GIBS, framed on the contiguous United States; every other NASA layer, live feed and forecast waits in the layer list.
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NASA GIBS / EOSDIS · ASTER GDEM (METI, NASA) · Blue Marble (NASA) · © OpenStreetMap contributors (ODbL) · Natural Earth
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For public interest data infrastructure, in GCRI's spatial-intelligence reading, the map opens on night lights, true-colour imagery and population density with true colour from NASA GIBS, framed on the contiguous United States; every other NASA layer, live feed and forecast waits in the layer list.Satellite and model products as NASA publishes them, each with its own date; indicators, not assessments of any place; claim ceiling INTEGRATED.
Layers and dates
The working screen behind this subject: its structure, terms and states. Names are placeholders and values illustrative.
Public interest data infrastructure · Public data platform · Catalogue v9
| Flood extents | Open | Complete | Yes | Published |
| Health facility list | Open | Complete | Yes | Published |
| Mobility traces | Restricted | Partial | n/a | Rights review |
| Household survey | Restricted | Complete | Yes | Access by request |
Dataspaces and interoperable evidence. The dossier below sets out how the risk develops, what is measured, where the data come from, how it is modelled and who decides.
Statistics are trusted when producers are professionally independent, methods are published and release schedules are kept. Interference, even suspected, erodes that trust quickly.
Civil registration, business, address and land registers underpin statistics and services. Gaps or errors in one register spread to everything built on it.
Data systems need continuous funding for surveys, staff and technology. Cuts show up years later as missing series, delayed releases and declining quality.
Data published under open licences with good metadata are reused by others. Closed or poorly documented data are underused even when collected at great cost.
Each term as this page uses it. Where a standard-setting body defines the term, the wording follows that body.
| Term | Definition |
|---|---|
| Official statistics | Statistics produced by national statistical systems under professional and legal standards. |
| Administrative register | A record kept by government for administration, such as a population or business register. |
| Open licence | A licence that allows anyone to access, reuse and redistribute data, sometimes with attribution. |
Each indicator carries its unit, its cadence, the kind of source behind it and the evidence label a value would carry. No values are shown: a programme supplies them under its own authority.
| Indicator | Unit | Cadence | Source type | Label |
|---|---|---|---|---|
| Datasets published with an open licence | percent of catalogued datasets | annual | Open data portal catalogues | OBSERVED |
| Datasets with complete metadata | percent of catalogued datasets | annual | Catalogue metadata review | OBSERVED |
| Release calendar adherence | percent of releases on schedule | annual | Statistics office records | OFFICIAL |
| Completeness of birth and death registration | percent of events registered | annual | Civil registration and vital statistics | ESTIMATED |
| Censuses conducted in the round | status by country | per census round | UN census programme records | OFFICIAL |
| Funding for national statistical systems | currency units | annual | Budget and donor records | REPORTED |
The topic as a computational graph: named sources feed the methods, an evidence review gates the outputs, and the decisions stay with the authorities that hold them.
Fig. 02Nodes carry their type, two metric rows and a state; connectors show what feeds what; dashed frames name the owners; the timeline is the cadence. Design of the pipeline, not a record of a run.
Named public datasets and institutional records, each with its licence class. Sources by agreement are used only under their terms and never republished.
| Source | What it gives | Licence class |
|---|---|---|
| UN Statistics Division data and the World Population and Housing Census Programme | Status of censuses and official statistics | Public, UN terms of use |
| PARIS21 reports on statistical capacity and financing | Funding and capacity of national statistical systems | Public, PARIS21 terms |
| re3data registry of research data repositories | Research data repositories and their policies | Open, licence to check |
| National open data portals with DCAT catalogues | Dataset listings and metadata | Open data, licence per portal |
| UNSD civil registration and vital statistics resources | Registration completeness and standards | Public, UN terms of use |
Data and Compute prepares evidence. The decisions below are taken by the authorities named, under their own rules, and never by the platform.
| Who decides | The question | Evidence this page serves |
|---|---|---|
| National statistics offices | Which systems and series to prioritise and modernise | Maturity reviews; register dependency maps |
| Ministries of finance and planning | How much to fund statistical and data systems | Funding evidence; costs of missing data |
| Open data and digital government teams | How to improve publication, licensing and metadata | Catalogue audits |
Most barriers to sharing are not technical. Data holders worry about liability, privacy, loss of control and the effort of preparing data for others. Infrastructure that lowers these costs, and gives holders confidence about how their data will be used, does more for sharing than infrastructure that simply makes data downloadable.
Common vocabularies and metadata let systems understand each other's data, not just exchange files.
Machine-readable terms of use and access control let holders share while keeping control.
Data needs custodians with mandates and budgets. Without them, infrastructure decays.
Guidance that data should be findable, accessible, interoperable and reusable. Widely adopted, but principles alone do not specify implementation.
Data stays with holders and is queried or shared under common rules, an approach studied under data engineering, interoperability and stewardship. Limits: coordination overhead and uneven implementation.
Records of where data came from and how it was transformed. Limits: only valuable if consistently captured.
Structured reviews of data infrastructure capability. Limits: self-assessment tends to be optimistic.
The current service level is R0: information and enquiries. An enquiry receives a reference and names the next step; applications, payments, compute allocations and registrations open only when their team, terms and review capacity exist.