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275 questions, 991 terms and 600 topics in 30 areas.

16 results for “Lawful Basis & Purpose Limitation”

Terminology · 11
term

Purpose Limitation

The principle that personal data collected for one stated purpose may not be used for an unrelated one without a new lawful basis.

Privacy Engineering
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Purpose Binding

Attaching the reason data was collected to the data itself, so a later use that does not match can be identified rather than assumed permissible.

Lawful Basis & Purpose Limitation
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Purpose-Based Access

Granting access for a stated and recorded purpose rather than by role alone, which is what several data protection regimes actually require.

Data Access Models
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Data Minimisation

Collecting and retaining only what a stated purpose requires, which reduces both regulatory exposure and breach impact at the same time.

Privacy by Design
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Disposition Decision

Choosing one of the standard migration treatments for each application, on the basis of its value, condition and the constraint that is actually binding.

The Six Rs
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EA Framework Selection

Choosing how much formal enterprise architecture method an organisation needs, on the basis that most need considerably less than the frameworks describe.

EA Frameworks
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Good Enough Architecture

Designing to what the situation actually requires rather than to what would be ideal, on the basis that unnecessary sophistication carries permanent cost.

Pragmatism
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Instance Family

A group of instance types sharing a resource profile — general purpose, compute optimised, memory optimised, storage optimised, accelerated — chosen by which resource the workload…

Compute Models
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Inverse Conway Manoeuvre

Deliberately structuring teams to match the architecture you want, on the basis that the system will come to mirror the organisation regardless.

Conway's Law
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Model Inventory

A complete register of models in use with their purpose, owner, risk tier and validation status — the artifact everything else in model governance depends on.

Model Risk Management
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Quality Dimension Threshold

The stated numeric level at which a dataset is fit for its purpose on a given quality dimension, plus what happens when it is not met.

Data Quality Dimensions