The Global Centre for Risk and Innovation (GCRI)
Where Systems Science and Modelling gets its data, on what terms, with what quality and with which known gaps.
Source and data register · Review wave 2
0 low to 100 high
Higher is more certain. Values are placeholders.
Systems Science and Modelling · Evidence gradingEvidence grading, in outline: domain structure with placeholder names and illustrative values, not a record.
The Systems Science and Modelling source register lists the datasets and records the platform draws on, such as CMIP6 archive via the Earth System Grid Federation, each with its producer, licence and permitted uses, quality and known gaps. A source is listed only once its terms permit the use described, and data held by agreement is used under those terms and never republished.
Fig.How a finding is reviewed before it is published. Design, not a record.
For source and data register, in GCRI's spatial-intelligence reading, the map opens on true-colour imagery, land cover and night lights with relief in 3D and true colour from NASA GIBS, framed on North America; 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 source and data register, in GCRI's spatial-intelligence reading, the map opens on true-colour imagery, land cover and night lights with relief in 3D and true colour from NASA GIBS, framed on North America; 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
Who produces the data and how.
Licence, restrictions and permitted uses.
Coverage, resolution, update frequency and known errors.
How the data reached the platform and what was changed.
What is missing and how the gap is handled.
| Source | What it gives | Terms | Used in |
|---|---|---|---|
| AgMIP crop model intercomparisons | Crop model ensemble protocols and results | Public, terms per project | Model intercomparison |
| ASME V&V 10, V&V 20 and V&V 40 | Verification, validation and credibility standards | Licensed standards, purchase required | Uncertainty and validation |
| CMIP6 archive via the Earth System Grid Federation | Climate model outputs from common experiments | Open, CC BY 4.0 for most models (to check per model) | Model intercomparison |
| CoMSES Net and model archives | Archived models with documentation | Open, licence per model | Reproducible modelling |
| CoMSES Net Computational Model Library | Archive of agent-based models with code and ODD documentation | Open, licence per model | Agent based and complexity |
| Coupling frameworks such as OASIS, BMI and preCICE documentation | Technical standards for linking models | Open source, licence per project | Coupled systems modelling |
| Data assimilation literature | Methods for combining models and observations | Licence per publication | Digital twins method |
| Digital Twin Consortium definitions and resources | Industry definitions and capability frameworks | Public, terms to check | Digital twins method |
| EMA Workbench | Exploratory modelling and analysis toolkit | Open source, BSD licence | Optimization under uncertainty |
| FAIR principles for research software (FAIR4RS) | Principles for reusable research software | Open, CC BY 4.0 | Reproducible modelling |
| Input-output and trade networks (OECD ICIO, BACI) | Economic dependency networks | Public, OECD terms; open, Etalab licence | Networks and cascades |
| Integrated assessment model documentation (IAMC wiki) | Structure and assumptions of integrated assessment models | Public, terms to check | Coupled systems modelling |
| IPCC uncertainty guidance note | Calibrated uncertainty language | Public, IPCC terms | Uncertainty and validation |
| ISIMIP cross-sectoral simulations | Linked impact model results | Open, licence per dataset (to check) | Coupled systems modelling |
| ISIMIP repository | Impact model outputs for water, agriculture, health and other sectors | Open, licence per dataset (to check) | Model intercomparison |
| ISO 23247 digital twin framework | Reference architecture for manufacturing digital twins | Licensed standard, purchase required | Digital twins method |
| Journal of Artificial Societies and Social Simulation | Peer-reviewed agent-based research | Open access, CC BY | Agent based and complexity |
| Literature on model genealogy and ensemble independence | Analysis of shared model components | Licence per publication | Model intercomparison |
| NASA-STD-7009 | Credibility assessment of models and simulations | Public domain, US government | Uncertainty and validation |
| National academies reports on digital twins | Assessment of foundational research gaps | Public, terms per publisher | Digital twins method |
| National integrated planning models where published | Applied coupled models | Licence per publisher | Coupled systems modelling |
| NetLogo and Mesa | Open-source agent-based modelling platforms | Open source, GPL and Apache licences | Agent based and complexity |
| Network science literature on cascades | Models and validation studies | Licence per publication | Networks and cascades |
| NetworkX, igraph and graph-tool | Open-source network analysis software | Open source, BSD and GPL licences | Networks and cascades |
| ODD protocol publications | Documentation standard for agent-based models | Licence per publication | Agent based and complexity |
| Open-source optimization tools such as Pyomo and JuMP | Modelling languages for stochastic and robust optimization | Open source, BSD and MPL licences | Optimization under uncertainty |
| Operations research literature on stochastic programming | Methods and applications | Licence per publication | Optimization under uncertainty |
| Pattern-oriented modelling literature | Validation approaches for complex models | Licence per publication | Agent based and complexity |
| Power grid network models for research | Grid topology datasets | Licence per dataset (to check) | Networks and cascades |
| Published adaptive pathway plans, such as delta programmes | Applied adaptive planning | Public records, licence per government | Optimization under uncertainty |
| Published city and utility digital twin case studies | Applied twins and lessons | Licence per publication | Digital twins method |
| Published network datasets such as SNAP and Netzschleuder | Benchmark networks for methods testing | Open, licence per dataset | Networks and cascades |
| Published validation studies in each field | Evidence on model performance | Licence per publication | Uncertainty and validation |
| Reproducibility studies in computational science | Measured reproduction rates | Licence per publication | Reproducible modelling |
| SALib and other open sensitivity analysis libraries | Implementations of global sensitivity methods | Open source, MIT licence | Uncertainty and validation |
| Scenario Modeling Hub publications for epidemics | Multi-model epidemic scenario projections | Public, terms per hub | Model intercomparison |
| Society for Decision Making under Deep Uncertainty resources | Methods and case studies for robust and adaptive planning | Public, terms to check | Optimization under uncertainty |
| Software Heritage archive | Archived source code with identifiers | Open, archive terms | Reproducible modelling |
| Water-energy-food nexus modelling literature | Approaches and case studies | Licence per publication | Coupled systems modelling |
| Zenodo and institutional repositories | Deposited models and data with DOIs | Open, licence per record | Reproducible modelling |
Sources are added to the register as they are reviewed. A source is listed only once its terms permit the use described.
Each term as this page uses it. Where a standard-setting body defines the term, the wording follows that body.
| Term | Definition |
|---|---|
| Provenance | Information about the entities, activities and people involved in producing a record, used to judge its quality and reliability, in the W3C PROV model. |
| FAIR principles | Guiding principles that make data findable, accessible, interoperable and reusable by people and machines. |
| Open licence | A licence that allows anyone to access, reuse and redistribute data, sometimes with attribution. |
| Data lineage | The traceable path of data from its origin through each transformation to its current form. |
The bodies and documents this page is read against. Status and editions change; each link goes to the issuing body.
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.