Research integrity
A project framework may define assumptions, data lineage and validation methods so research can be reproduced and challenged.
- Assumptions and data lineage
- Reproducible methodology
- Out-of-sample testing
- Simulation/live distinction
Risk and governance
A reviewable framework makes assumptions, changes, limits, exceptions and responsibilities visible across research and engineering work.
Lifecycle
Algorithm oversight
These are illustrative design considerations to be defined and evidenced for each engagement; they are not presented as current operational controls.
A project framework may define assumptions, data lineage and validation methods so research can be reproduced and challenged.
A project framework may assign responsibility for model identity, decisions, changes and retirement.
A project framework may specify limits, operator authority and exception paths for the target environment.
A project framework may define how system state, exceptions and escalation paths are made visible to accountable operators.
A project framework may define access boundaries, change management and recovery requirements within the operating model.
Institutional contact
A scoped programme defines the evidence, testing conditions, decision authority and operating boundary before implementation.