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Fideslang 3.0 #186

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merged 7 commits into from
Dec 15, 2023
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Fideslang 3.0 #186

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57126b1
Remove Data Qualifiers (#183)
ThomasLaPiana Nov 27, 2023
4626849
more data qualifier removals
adamsachs Dec 11, 2023
21907da
remove deprecated fields from models
adamsachs Dec 11, 2023
c546fd1
remove registry construct
adamsachs Dec 11, 2023
673fea7
format
adamsachs Dec 11, 2023
581c703
update changelog
adamsachs Dec 11, 2023
2aa694b
remove retention field on dataset collection and field
adamsachs Dec 13, 2023
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10 changes: 9 additions & 1 deletion CHANGELOG.md
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@adamsachs Hi, can you point me to the rationale for removing the 4th classification group from the ontology? I still see 4 referenced at certain places in the documentation. Thanks in advance for your attention!

Original file line number Diff line number Diff line change
Expand Up @@ -14,7 +14,15 @@ The types of changes are:
- `Fixed` for any bug fixes.
- `Security` in case of vulnerabilities.

## [Unreleased](https://github.com/ethyca/fideslang/compare/2.2.2...main)
## [Unreleased](https://github.com/ethyca/fideslang/compare/3.0.0...main)

## [3.0.0](https://github.com/ethyca/fideslang/compare/2.2.2...3.0.0)

### Removed

- Removed `DataQualifier` construct and all references [#186](https://github.com/ethyca/fideslang/pull/186)
- Removed `Registry` construct and all references [#186](https://github.com/ethyca/fideslang/pull/186)
- Removed deprecated fields on `System`, `DataUse` and `Dataset` models. [#186](https://github.com/ethyca/fideslang/pull/186)


## [2.2.2](https://github.com/ethyca/fideslang/compare/2.2.1...2.2.2)
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13 changes: 0 additions & 13 deletions README.md
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Expand Up @@ -48,19 +48,6 @@ Examples of a Data Subject are:

Learn more about [Data Subject Categories in the taxonomy reference now](https://ethyca.github.io/fideslang/taxonomy/data_subjects/).

### 4. Data Identification Qualifiers

Data Identification Qualifiers describe the degree of identification of the given data.
Think of this as a spectrum: on one end is completely anonymous data, i.e. it is impossible to identify an individual from it; on the other end is data that specifically identifies an individual.

Along this spectrum are labels that describe the degree of identification that a given data might provide, such as:

- `identified_data`
- `anonymized_data`
- `aggregated_data`

Learn more about [Data Identification Qualifiers in the taxonomy reference now](https://ethyca.github.io/fideslang/taxonomy/data_qualifiers/).

### Extensibility & Interoperability

The taxonomy is designed to support common privacy compliance regulations and standards out of the box, these include GDPR, CCPA, LGPD and ISO 19944.
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64 changes: 0 additions & 64 deletions data_files/data_qualifiers.json
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58 changes: 0 additions & 58 deletions data_files/data_qualifiers.yml
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