GCRI · Systems Science and Modelling
Source and data register
Where Systems Science and Modelling gets its data: each source with its licence, lineage, resolution, quality checks and known gaps.
The workspace for source and data register.
Evidence grading
Source and data register · Review wave 2 · Example interface, not a record
Certainty by criterion
0 low to 100 high
Higher is more certain. Values are examples.
Review queue
- R-1Models in librarysecond reviewer1 d
- R-2Models with validation recordsecond reviewer2 d
- R-3Coupled runs completedsecond reviewer6 d
Systems Science and Modelling · Evidence grading. Evidence grading: example names and illustrative values, not a record.
Each source carries five facts.
Origin
Who produces the data and how.
Access terms
Licence, restrictions and permitted uses.
Quality
Coverage, resolution, update frequency and known errors.
Provenance
How the data reached the platform and what was changed.
Gaps
What is missing and how the gap is handled.
Every source the topic dossiers cite, with its terms.
| 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 | Optimisation 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 optimisation tools such as Pyomo and JuMP | Modelling languages for stochastic and robust optimisation | Open source, BSD and MPL licences | Optimisation under uncertainty |
| Operations research literature on stochastic programming | Methods and applications | Licence per publication | Optimisation 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 | Optimisation 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 | Optimisation 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 |
Where the systems modelling data record is thin.
- Shared data on interdependencies.
- Validation data for rare events.
- Open model code for many sector models.
How the register grows.
Sources are added to the register as they are reviewed. A source is listed only once its terms permit the use described.
Where this page’s references lead.
The bodies and documents this page is read against. Status and editions change; each link goes to the issuing body.
Questions and answers.
Can I suggest a data source?
Contribute evidence from this page.
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.
- EmailGateway GW-GCRISend it from this pageEvidence, a correction, a case, a method, a review, a translation or profile input. It arrives tagged with this page, so the editor who owns it receives it.
- ZenodoOpen depositDeposit it and submit to the communityPublish your own record on Zenodo with your ORCID iD, then submit it to the Reports community there. Curators review it; the DOI stays yours.
- ReportsGCRISee every way to contributeThe contribution types, how each is reviewed, what credit you receive, the licence and what is never accepted.
Never send personal data, sensitive infrastructure detail or anything you have no right to share. A contribution is reviewed before use; sending it confers no authorship or editorial rights, and sponsorship never buys a finding.
Bring a method, a dataset or a question.
Information and enquiries are open today. 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.
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Maps, data and figures on this site are shown for context and general information. They are not advice, forecasts or warnings; the limits of the information are set out in the Disclaimers and Data Notices.