Metadata and Standards

Name Name of a concept, e.g. a data model concept. In contrast to terms, the name does not depend on a given context, e.g. a country-specific language.	Metadata and Standards
Short description Informal and short human-readable definition of a concept.	Data quality plays a pivotal role in ensuring compliance with legal, regulatory, and industry standards. One of the core challenges in achieving high data quality is adhering to dynamic data requirements that evolve due to changes in national regulations. These requirements vary by country, making it essential for businesses to track and update compliance criteria continuously. In many countries, official company information is available as Open Data, but the lack of a standardized data model or provision method complicates the process of integrating this data. The Data Sharing Community actively collaborates to identify global data requirements and reference data sources, whether Open Data or commercial.
Description Informal and comprehensive human-readable definition of a concept.

Managed metadata types

	Short description	Data concept
Administrative area metadata	Managed reference data for administrative areas with language-specific terms and short names according to ISO 3166-2.	Administrative Area (CDQ.POOL)
Bank account metadata	Managed reference data for bank accounts worldwide.	Bank (CDQ.POOL) Bank Account (CDQ.POOL)
Business identifier metadata	Managed reference data for types of identifiers per country.	Identifier (CDQ.POOL)
CDQ Data Model	Basic data concepts of CDQ Cloud Services.
Compliance lists metadata	Managed reference data about compliance lists considered in the sanction and watchlist screening services
Country metadata	Managed reference data for countries with language-specific names and short names according to ISO 3166-2.	Country (CDQ.POOL)
Data Quality Rules	Documentation of data quality rules with explanation and technical constraints to validate business partner data records.
Data quality rules function library	Data quality rule functions are methods implemented in a programming language for being used in data quality rule implementations. They can be e.g. used in custom data quality rules similar to functions employed by business users in popular spreadsheet applications such as Microsoft Excel.
Legal form metadata	Managed reference data for legal forms with official and commonly used abbreviations and corresponding country.	Legal Form (CDQ.POOL)
Locality metadata	Managed reference data for localities, such as exonyms.	Locality (CDQ.POOL)
Post code metadata	Managed reference data for post codes	Post Code (CDQ.POOL)
Postal delivery point metadata	Managed reference data for postal delivery points, such as Post Office Boxes used for identification, extraction, harmonization and standardization.	Postal Delivery Point (CDQ.POOL)
Registration authority metadata	Managed reference data for issuing bodies of identifiers	Identifier Issuing Body (CDQ.POOL)
Street metadata	Managed reference data for thoroughfares of type Street (CDQ.POOL) used for harmonization and standardization.	Thoroughfare (CDQ.POOL)

Facts and Figures

Administrative Areas	3,773
Countries	316
Data Quality Rules	3,103
Data Sources (external)	235
Identifiers	497
Legal Forms	1,002
Registration authorities (issuing bodies)	1,277
Terms	1,674