This collection lists datasets that The Global Centre for Risk and Innovation (GCRI) has released for public use, together with the sources it relies on where their terms allow them to be listed. Each entry shows its owner, licence, lineage, temporal coverage and known limits. Only rights-cleared data appears here. Private records, personal data, restricted infrastructure detail and protected community knowledge are never published. This collection is part of the research library.
GCRI · Institution · service level R0
GCRI public data is the collection of datasets released for public use and of the sources GCRI relies on where their terms allow listing, each with its owner, licence, lineage, temporal coverage and known limits. Only rights-cleared data appears; personal data, restricted infrastructure detail and protected community knowledge never do.
Fig.How a finding is reviewed before it is published. Design, not a record.
Urban demand centres and the hubs that anchor digital and data infrastructure, shown for China as an example geography for this subject.
A dataset without its context is easy to misuse. Each record carries the information needed to use it correctly.
| Field | What it records |
|---|---|
| Owner and source | Who produced the data and who holds authority over it |
| Licence | The terms of reuse, described on rights and licences |
| Lineage | How the data was derived, processed and versioned |
| Coverage | Places, period and resolution covered |
| Evidence label | Observed, officially reported, estimated, modelled or other |
| Limits | Known gaps, biases and appropriate uses |
No personal information about individuals, including participants and enquirers.
No restricted infrastructure topology or security-sensitive locations.
No protected community or Indigenous knowledge without the rights-holders' agreement.
Datasets answer the questions they were built for. Before using one, check its coverage, resolution, evidence label and known gaps, and whether it can be combined with your other sources without changing its meaning. Where uncertainty is reported, carry it into your own results. If a dataset is labelled modelled or estimated, do not present it as observed.
Each term as this page uses it. Where a standard-setting body defines the term, the wording follows that body.
| Term | Definition |
|---|---|
| Dataset | A collection of data published or curated as a unit, described by metadata such as title, publisher, licence, coverage and version, as the W3C Data Catalog Vocabulary models it. |
| FAIR principles | Guiding principles that make data findable, accessible, interoperable and reusable by people and machines. |
| Data lineage | The traceable path of data from its origin through each transformation to its current form. |
| Open licence | A licence that allows anyone to access, reuse and redistribute data, sometimes with attribution. |
Data is organized under GRIx and data, with source rights that persist through every product. Methods for stewardship are described at data engineering, interoperability and stewardship. Methods papers that explain how datasets were built are in methods and technical papers.
Original source authority is retained. Nexus estimates stay labelled as estimates and never replace official statistics.
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.