Data Procedures
Capability/metadata and standards/procedures
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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. | Data Procedures |
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Short description Informal and short human-readable definition of a concept. | CDQ provides a comprehensive overview of country-specific data standards essential for compliance, legal registrations, and business operations. |
Description Informal and comprehensive human-readable definition of a concept. | CDQ provides a comprehensive overview of country-specific data standards essential for compliance, legal registrations, and business operations. Each country's dataset includes details on trusted data sources, legal forms, regions, identifiers like VAT numbers, and critical data quality rules. By referencing this guide, businesses can ensure their data aligns with regulatory standards, avoiding risks of errors, misrepresentation, or non-compliance. This resource is ideal for professionals in finance, compliance, supply chain management, and global trade, offering a structured view of the most important country-specific data elements. |
Metadata
The data procedures comprise the following elements:
- Basic Information. This section covers fundamental details about each country, including official country name, ISO codes, and other administrative data crucial for accurate global data management.
- Geographical Coordinates. Find detailed geographical information for accurate mapping and location-based data use. This includes latitude and longitude data, as well as geopolitical boundaries for regional accuracy in logistics and supply chain systems.
- Regions. An overview of the administrative divisions, such as provinces, states, or regions, used within the country. Understanding these regional structures is essential for tax, legal, and trade compliance when dealing with region-specific regulations.
- Legal Forms. A list of all recognized legal business structures within the country, from corporations to sole proprietorships. Knowing the proper legal form ensures correct business partner classification and compliance with national laws.
- Identifiers. Key identification types, such as VAT numbers, tax IDs, or business registration numbers, are outlined here. These identifiers are vital for cross-border transactions, tax reporting, and compliance with national and international regulations.
- Data Quality Rules. This section highlights the data validation and quality standards required for legal and compliance purposes. It covers rules such as postal code formats, mandatory fields, and consistency checks to ensure data accuracy and reliability.
- Data Sources (country-specific). Trusted data sources specific to address validation and geographic information for the specific country. These sources provide authoritative data to ensure compliance and accuracy.
- Data Sources (World). An extensive list of global data sources that provide reference information, legal compliance data, and other necessary details for business operations in international markets.
- Augmented Record Rules. Advanced data processing and augmentation rules applied to records to enhance data completeness and reliability. This section covers procedures like matching missing data, filling in gaps, or correcting erroneous entries based on trusted sources.
- Banking Data. Provides banking-related information, including formats for IBAN, SWIFT codes, and other critical financial data. This is essential for businesses involved in cross-border transactions and ensuring the legitimacy of business partner banking details.
Available Public Extracts
Disclaimer: The listed pages contain an extract (all elements limited to 3 entries) of the available country-specific data. Full access to the complete dataset, including detailed legal, geographical, and identifier data, is available exclusively to customers with login credentials. For comprehensive access, please log in or contact us for subscription details. Customers may access the full information via the Data maintenance procedures