ISO 15926-100:2026

Overview

ISO 15926-100:2026 sets the foundational terminology for the integration of life-cycle data in industrial automation systems, particularly focusing on process plants such as oil and gas production facilities. This international standard defines a comprehensive vocabulary that supports interoperable information exchange throughout the life cycle of complex industrial installations. As a part of the ISO 15926 series, this vocabulary document ensures that all stakeholders and systems refer to and understand key data integration concepts consistently-enabling seamless collaboration and improved efficiency in engineering, operations, and maintenance across the process industries.

Key Topics

• Core Vocabulary: The standard systematically defines terms relating to life-cycle data integration for process plant installations, covering fundamental concepts such as asset, data, entity, information, metadata, model, ontology, and reference data.
• Life-cycle Data Integration: Definitions cover all stages of a plant’s life-cycle-from engineering and design through operation, maintenance, decommissioning, and demolition.
• Classes and Individuals: Clarifies distinctions between classes (categories or divisions of things), individuals (particular things in space and time), and instances, supporting accurate data modeling.
• Artefacts and Products: Includes terms related to physical and non-physical aspects such as artefacts, manufactured product classes, proprietary classes, and standard classes.
• Processes and Services: Provides clear definitions for processes such as conformance testing, validation, verification, and project management components like schedule, baseline, and plan succession links.
• Interoperability: Emphasizes concepts central to enabling seamless information exchange between diverse software, systems, and organizational boundaries.
• Terms Structure: The vocabulary groups terms consistently for reference in related ISO 15926 series standards, supporting coherent use across all documentation and implementations.

Applications

• Industrial Data Integration: Enables uniform understanding and exchange of plant information between suppliers, operators, and systems integrators across the supply chain. This is critical for efficiency in engineering, operations, and regulatory compliance in oil, gas, and process industries.
• Software Development: Provides a standard vocabulary for software developers designing data exchange, integration, or analytics platforms that interact with process plant data.
• Digital Twins and Data Warehouses: Supports the creation and management of digital twins, asset information models, and central data repositories by standardizing data definitions.
• Project Management: Facilitates consistency in planning, scheduling, and executing projects due to shared understanding of terms like activity, milestone, and work order.
• Regulatory Compliance: Supports organizations in meeting international regulations and best practices by ensuring harmonized use of data terminology.
• Training and Onboarding: Serves as a key reference for educating personnel on data integration concepts, ensuring rapid onboarding of staff and clarity in communications.

Related Standards

• ISO 15926 Series: This document forms the vocabulary foundation for all other parts of the ISO 15926 series, which address aspects such as the data model (ISO 15926-2) and reference data library (ISO/TS 15926-4).
• ISO 55000: Asset management terminology relevant to life-cycle data integration.
• ISO/IEC 11179: Information on metadata registries and standardization of data elements.
• ISO 10303 (STEP): Relates to data representation and exchange, helpful for understanding the broader context of industrial data integration standards.

By defining a common vocabulary for life-cycle data integration, ISO 15926-100:2026 plays a critical role in enabling effective data management, system interoperability, and information integrity throughout the operational life of process plant installations. This increases efficiency, reduces costs, and supports global collaboration within the process industries.