Fintech Risk Event Data Model

This is the documentation of the Fintech Risk Event Data Model used in Open Risk Data to capture Fintech Risk Events. This is a collection of risk events around new digital financial entities that is being migrated from the Manual to the Database as a demo of an Open Risk Data use case

The Data Model Structure

The full description of Items and Properties is as follows

1. Item:
   1. Item identifier (a serial ID number, prefixed with Q). This is a unique ID for an Item in the context of the Open Risk Data instance. This is assigned automatically by the system when an item is first inserted into the database. While numerologists might assign special significance to e.g. Q42, we promote a world with less superstition :-)
   2. Fingerprint, consisting of:
      1. Multilingual label, a human readable label. This is a unique textual description of an Item.
      2. Multilingual description, a longer description of the item
      3. Multilingual aliases, other possible labels for an item
   3. Statements, associated with the item, each consisting of:
      1. Claim, consisting of:
         1. Property
         2. Value
         3. Qualifiers (additional property-value pairs)
      2. References (each consisting of one or more property-value pairs)
      3. Rank
   4. Site links
2. Property
   1. Property identifier (number prefixed with P)
   2. Fingerprint, consisting of:
      1. label
      2. description
      3. aliases
   3. Statements, each consisting of:
      1. Claim, consisting of:
         1. Property
         2. Value
         3. Qualifiers (additional property-value pairs)
      2. References (each consisting of one or more property-value pairs)
      3. Rank
   4. Datatype