ISO 29002:2026

Overview

ISO 29002:2026 establishes a standardized approach for the exchange of characteristic data within industrial automation systems and integration. Developed by the International Organization for Standardization (ISO), this standard provides a comprehensive framework for interoperability and semantic consistency between various industrial data standards, including key series such as ISO 13399, ISO 13584, ISO 15926, ISO 18101, ISO 22745, IEC 61360 (including the IEC Common Data Dictionary), and IEC 62656.

By specifying a common set of resources and conceptual models, ISO 29002:2026 significantly improves the ability of organizations to exchange, retrieve, and utilize characteristic data without loss of meaning or ambiguity. Central to this standard is the notion of using concept dictionaries and ontologies to underpin data exchange, enabling seamless integration across systems, processes, and organizations throughout the product lifecycle.

Key Topics

• Interoperability of Characteristic Data: Defines fundamental principles and models that allow characteristic data to be shared and reused across different platforms and standards.
• Concept Dictionaries and Ontologies: Establishes the framework for building and utilizing concept dictionaries as the basis for defining and interpreting characteristic data in a unified manner.
• Identification Schemes: Specifies globally unique identifiers for concepts, objects, and information elements, ensuring accurate referencing and retrieval.
• Exchange Formats: Details standardized data exchange formats for concepts, terminology, and characteristic data, supporting XML, JSON, and OpenAPI specifications.
• Concept Dictionary Resolution Services (CDRS): Outlines mechanisms and web services for locating, retrieving, and searching terminological and ontological data.
• Conformance and Compatibility: Addresses compatibility rules and conformance requirements for integration with other standards, supporting both restrictive and non-restrictive implementations.

Applications

ISO 29002:2026 is designed for a broad range of use cases in industrial automation and smart manufacturing environments:

• Cross-Standard Data Integration: Ensures coherent exchange and integration of product, equipment, and process data between systems adhering to different international standards, such as ISO 13584 and ISO 22745.
• Supply Chain Data Consistency: Facilitates unambiguous communication of product characteristics and supplier identifications, supporting robust digital supply chain management.
• Data Quality Management: Enables organizations to reduce duplicate records, maintain high-quality data sets, and assure semantic consistency throughout the product lifecycle.
• International Collaboration: Enables multilingual and cross-border interoperability by establishing semantic equivalence among terms, abbreviations, definitions, images, and symbols using globally recognized concept dictionaries.
• Digital Twins and Smart Manufacturing: Provides the foundation for accurate digital representation and reasoning over industrial assets, products, and processes by linking to product ontologies.

Related Standards

ISO 29002:2026 is closely aligned with and enhances interoperability among several foundational data standards, including:

• ISO 13399 Series: Cutting tool data representation and exchange.
• ISO 13584 Series: Parts library data models and exchange protocols.
• ISO 15926 Series: Integration of lifecycle data for process plants.
• ISO 18101 Series: Oil and gas interoperability standards.
• ISO 22745 Series: Open technical dictionaries and industrial data exchange.
• IEC 61360 Series: IEC Common Data Dictionary for electrotechnical components.
• IEC 62656 Series: Standards for product property models and exchange.
• ISO 8000 Series: Principles for master data quality and data management.
• WSDL and SOAP specifications for industrial data services.

Organizations implementing ISO 29002:2026 benefit from enhanced interoperability, improved data quality, and the ability to streamline data integration processes in the context of Industry 4.0 and digital transformation initiatives.