GCRI · Digital Public Infrastructure
Methods and uncertainty
The methods Digital Public Infrastructure relies on: their equations and assumptions, the data they need, how they are validated and the limits of what they can show.
Methods and uncertainty on the record.
- 01FieldsDigital public infrastructure, Cyber and digital resilience
- 02STEM methods6 canonical methods applied
- 03Topics8 subject pages
- 04Counterparts5 platforms in shared fields
- 05PublisherThe Global Centre for Risk and Innovation
The methods in use.
- 01Digital identity and public digital systemsAssurance design for services · Verifiable credentials · Exclusion error analysisApplied here
- 02Data engineering, interoperability and stewardshipSecure data exchange layers · Common data models · Consent-based sharingApplied here
- 03Cybersecurity and cryptographyThreat modelling DPI components · Protecting identity databasesApplied here
- 04Payment and financial market technologyFast payment system design · Fraud prevention for instant paymentsApplied here
- 05High-performance, cloud and edge computingCapacity planning for peaks · Multi-site and multi-provider hosting · Portability engineeringApplied here
- 06Distributed ledgers and digital assetsFit-for-purpose assessment · Privacy and erasure constraintsApplied here
Each method, its role in this field and how it is checked.
- Digital identityRole hereDigital identity and public digital systems is the technology this platform stewards for the network.Checks appliedAssurance mapping review; Privacy impact assessment; Disaggregated failure analysis
- Data engineeringRole hereData engineering, interoperability and stewardship make data exchange between public systems possible and trustworthy.Checks appliedSchema validation; Audit trail completeness; Data quality monitoring
- CybersecurityRole hereCybersecurity and cryptography protect public digital infrastructure and the personal data it holds.Checks appliedIndependent testing; Breach exercises; Algorithm inventory
- Payments technologyRole herePayments technology covers the systems that move money between people, businesses and governments.Checks appliedStandards conformance; Fraud control evaluation; Settlement risk review
- ComputingRole hereHigh-performance, cloud and edge computing host the public digital infrastructure that whole populations use.Checks appliedFailover testing; Peak verification; Portability trial
- Distributed ledgersRole hereDistributed ledger technology records transactions across multiple parties without a single central database.Checks appliedAlternative comparison; Data protection review; Governance documentation
How the process runs.
Process explorer · Process
Methods and uncertainty: PRISMA 2020 review reporting
10 steps·4 stages
Process
Methods and uncertainty: PRISMA 2020 review reporting
PRISMA 2020 is a reporting guideline for systematic reviews; the steps follow its checklist, not a mandated sequence, and no Nexus document adopts it.
01 Plan
- 01Registration and protocolRecord · The review teamThe guideline asks for registration details, access to the protocol and any amendments.
- 02Eligibility criteriaRecord · The review teamThe guideline asks for the inclusion and exclusion criteria and how studies were grouped.
02 Find and select
- 03Search: sources and strategiesStep · The review teamThe guideline asks for the information sources and the full search strategies. It does not fix which sources are used.
- 04Selection of studiesStep · The review teamThe guideline asks how studies were judged eligible, including how many reviewers screened. It does not fix the number of reviewers.
- 05Flow diagramRecordThe flow diagram shows the number of records found, the number of studies included and the reasons for exclusion.
03 Analyse
- 06Data collectionStep · The review teamThe guideline asks how data were collected from reports and which data items were sought.
- 07Risk of biasStep · The review teamThe guideline asks for the methods and tools used to assess risk of bias.
- 08SynthesisModel · The review teamThe guideline asks for the effect measures and the synthesis methods. It does not prescribe meta-analysis.
- 09Certainty of evidenceStep · The review teamThe guideline asks for the methods used to assess certainty, and reports the result per outcome. It does not name a grading scale.
04 Report
- 10Review reportRecordThe guideline helps authors report why the review was done, what they did and what they found.
ReportsOutline of an externally published reporting guideline, not a Nexus process and not a record of operation. PRISMA 2020 mainly covers reviews of intervention effects. No Nexus page names it. Every programme is at service level R0.
Where uncertainty in DPI analysis comes from, and how it is shown.
| Source | Why it matters here | How it is reported |
|---|---|---|
| Exclusion data | Rarely measured | Survey evidence labelled |
| Outage data | Not always disclosed | Sources stated |
| Adoption | Registration differs from use | Both shown |
How uncertainty is reported.
- 01
State assumptions
Each analysis lists its assumptions and the data it depends on.
- 02
Quantify where possible
Ranges and confidence are reported alongside central estimates.
- 03
Validate and compare
Models are checked against observations and, where possible, against other models.
- 04
Publish limits
What an analysis cannot show is stated beside what it can.
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.
Are the methods open?
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.
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