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275 questions, 991 terms and 600 topics in 30 areas.
16 results for “Lawful Basis & Purpose Limitation”
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.
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.
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 Minimisation
Collecting and retaining only what a stated purpose requires, which reduces both regulatory exposure and breach impact at the same time.
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.
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.
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.
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…
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.
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.
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.
Lawful Basis & Purpose Limitation
Why you may hold the data, and why that forbids the second use somebody proposed.
Privacy Engineering
Minimisation, purpose limitation, and erasure that is implementable.
Data Access Models
Role, attribute and purpose-based access over analytical data, and how they compose.
Privacy by Design
Data minimisation, default protection and purpose binding as structural decisions.