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.	Ensuring data quality is crucial for businesses seeking to maintain compliance with ever-evolving legal, regulatory, and industry standards. In today’s global environment, adhering to dynamic data requirements is a continuous challenge, as these standards frequently change based on national regulations. As regulations vary by country, organizations must track and update their compliance criteria to ensure alignment across all jurisdictions they operate within. Many countries offer official company information as Open Data; however, the absence of a standardized data model or provision method complicates the process of integrating this data into business operations. The Metadata and Standards initiative within the Data Sharing Community aims to address these challenges by identifying and aggregating global data requirements and reference data sources—whether Open Data or commercially sourced. Through this collaborative effort, businesses can ensure they have access to accurate, reliable, and standardized data that is critical for compliance and risk mitigation. The Metadata and Standards focus on managing a wide variety of metadata types that support compliance, data quality, and standardization. These include: Administrative Area Metadata: This includes managed reference data for administrative areas, using language-specific terms and short names compliant with ISO 3166-2 standards. This ensures consistency in defining regions and administrative units across different countries and languages. Business Identifier Metadata: Managed reference data that captures types of business identifiers for each country, helping companies validate and track identifiers such as VAT numbers, business registration numbers, and tax IDs. Compliance Lists Metadata: A collection of managed reference data related to compliance lists used in sanction and watchlist screening services. This ensures businesses stay compliant by screening their partners and vendors against global and regional sanctions lists. Country Metadata: Managed reference data for countries, featuring language-specific names and short names based on the ISO 3166-2 standard. This helps standardize country references across different datasets. Data Quality Rules: Comprehensive documentation of data quality rules, including explanations and technical constraints. These rules validate business partner data to ensure it meets predefined quality and compliance standards. Legal Form Metadata: Managed reference data for legal forms, including official abbreviations and country-specific variations. This ensures businesses have the correct and standardized references for company legal structures across different regions. City Metadata: Managed reference data for localities, helping businesses validate and harmonize location data to ensure accuracy in address and regional reporting. Post Code Metadata: A standardized reference for postal codes across different countries. This metadata ensures that postal codes are accurate and follow country-specific formats. Postal Delivery Point Metadata: Managed reference data for postal delivery points such as Post Office Boxes. This data is crucial for identification, extraction, harmonization, and standardization of delivery points in various postal systems. By leveraging this structured and standardized metadata, businesses can ensure compliance with complex and diverse regulatory frameworks, improve data quality, and streamline integration across global systems. The Metadata and Standards approach ensures that companies have access to reliable, high-quality reference data, enabling them to stay compliant, reduce risk, and make informed decisions.

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	1,003
Registration authorities (issuing bodies)	1,277
Terms	1,674