docs(cat-voices): Documentation architecture entity definition

.config/dictionaries/project.dic

@@ -15,6 +15,7 @@ Arbritrary
 ARCHS
 ARGB
 Arissara
+Arweave
 asat
 asmjs
 asyncio
@@ -102,6 +103,7 @@ Eternl
 EUTXO
 extn
 fetchval
+Filecoin
 fmtchk
 fmtfix
 fontawesome
@@ -133,6 +135,7 @@ Intellij
 interps
 inversed
 iohk
+IPFS
 iphoneos
 iphonesimulator
 jdbc

docs/src/architecture/08_concepts/domain-models/.pages

@@ -0,0 +1,4 @@
+title: Domain Models
+arrange:
+ - data-attributes.md
+ - roles_actors.md

docs/src/architecture/08_concepts/domain-models/data-attributes.md

@@ -0,0 +1,37 @@
+---
+icon: material/details
+---
+
+# Data Attributes
+
+## Data Sensitivity Types
+
+Data sensitivity types categorize data entities based on their content, context, and associated regulatory risks.
+These classifications help identify and manage the inherent risks of handling data related to different data categories, ranging
+from user-generated content to cryptographic keys and financial data.
+
+Each data sensitivity type is associated with varying levels of sensitivity and regulatory scrutiny, influenced by frameworks like
+GDPR, CCPA, and other global data protection laws.
+By organizing data into these types, we can assess our regulatory obligations, implement appropriate safeguards, and address
+compliance considerations effectively.
+These sensitivity levels are adaptable and can be expanded or refined based on our specific domain and specific regulatory
+requirements.
+
+| Type                               | Short Description                        | Risk in Relation to Regulations                                     |
+| ---------------------------------- | ---------------------------------------- | ------------------------------------------------------------------- |
+| User Content                       | Data created or shared by users          | Moderate; subject to content regulations and copyright laws         |
+| User Metadata                      | Information about user activity          | High; often falls under data protection laws like GDPR              |
+| User Activity Data                 | Behavioral data on platform interactions | High; subject to privacy regulations and data processing laws       |
+| Identifiable Data                  | Data directly identifying a user         | Very High; core focus of most data protection regulations           |
+| S/PII                              | Highly sensitive personal information    | Extremely High; strictly regulated under multiple laws              |
+| Business Data                      | Proprietary business information         | Moderate; subject to trade secret and corporate governance laws     |
+| Pseudonymous Data                  | Data linked to aliases or pseudonyms     | Moderate; may be subject to data protection laws if re-identifiable |
+| Anonymous Data                     | Data not linkable to individuals         | Low; generally less regulated but anonymization must be robust      |
+| Cryptographic Keys                 | Private keys for digital asset access    | High; subject to financial regulations and cybersecurity laws       |
+| Transaction Metadata               | Details about blockchain transactions    | Moderate; may fall under financial regulations and AML laws         |
+| Decentralized Identity Information | Self-sovereign identity data             | High; emerging area with evolving regulatory landscape              |
+| Tokenized Assets                   | Digital representations of ownership     | High; subject to securities laws and financial regulations          |
+| Encrypted Communications           | Private messages on platforms            | Moderate; subject to encryption and data protection laws            |
+| Governance Data                    | Voting and proposal information in DAOs  | Moderate; may fall under corporate governance regulations           |
+| Zero-Knowledge Proofs              | Cryptographic validation data            | Low to Moderate; emerging technology with evolving regulations      |
+| Finance Data                       | Financial activity data                  | Very High; subject to financial regulations                         |