Fideslang 3.0 (#186)

* Remove Data Qualifiers (#183)

* feat: remove data qualifiers

* feat: more qualifier removals

* more data qualifier removals

* remove deprecated fields from models

* remove registry construct

* format

* update changelog

* remove retention field on dataset collection and field

---------

Co-authored-by: Thomas <[email protected]>

Author: adamsachs

CHANGELOG.md

@@ -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)

README.md

@@ -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.