QNSI

Education & research | Modelled case study

Preserve provenance across a multi-university research consortium

Can collaborators prove which institution, instrument, pipeline, and researcher produced each dataset version?

Accountable ownersResearch IT · Principal Investigator · Data Steward
Scenario typeComposite model
Required outputDecision artifact

The modelled organisation

A recognisable problem reaches the operating agenda

This composite scenario follows the Research IT · Principal Investigator · Data Steward functions. It is grounded in the cited problem context but does not identify a real customer.

Operating environment

A university or research consortium combines student systems, federated identity, shared instruments, data repositories, partner institutions, and long-lived research records.

What is at stake

Open collaboration must coexist with durable privacy, research provenance, grant obligations, and identities that span institutions with different change windows.

Situation

Research data is copied, transformed, and re-hosted across institutions while identity, software, and signature context is lost.

Event that forces action

New consortium, reproducibility requirement, IP dispute, or regulated-data collaboration.

Concrete system boundary

Systems this case study puts in scope

The model is specific about the operational surfaces that must be discovered, changed, or independently checked.

01

partner datasets

02

research transformations

03

shared analysis platforms

04

publication and archive evidence

Modelled case study walkthrough

How this organisation would use QNSI

The walkthrough connects the real-world problem to a bounded QNSI contribution and an independently reviewable result.

01

Recognise the operating condition

Research data is copied, transformed, and re-hosted across institutions while identity, software, and signature context is lost.

02

Frame the decision the owners must make

Can collaborators prove which institution, instrument, pipeline, and researcher produced each dataset version?

03

Apply QNSI to the controlled boundary

Use QNSI-supported signatures and inventory identifiers to bind datasets, instruments, pipelines, institutions, and approvals.

04

Leave the team with a concrete result

A consortium provenance manifest showing custody, transformations, signers, software versions, and unverifiable contributions.

05

Prove the result in the organisation's environment

Partners agree authorship, ethics, data-use, export, retention, identity, and reproducibility rules.

What useful success looks like

A decision artifact plus proof from the real environment

The model stops at a target result. It becomes an actual case study only when a customer produces and independently validates this evidence in production.

Decision artifact

A consortium provenance manifest showing custody, transformations, signers, software versions, and unverifiable contributions.

Independent validation boundary

Partners agree authorship, ethics, data-use, export, retention, identity, and reproducibility rules.

Real-world problem grounding

Primary sources behind the model

These sources establish the external requirement, failure mode, or risk context used to model this case. They do not endorse HEOSSI or prove that QNSI completed the scenario.

Customer evidence status

This is modelled, not a customer claim

The organisation is a composite and the result is a target state. This page does not prove a deployment, customer outcome, certification, legal conclusion, regulator endorsement, or completed control.

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