Glossary

Asset Administration Shell (AAS)

An Asset Administration Shell (AAS) is a standardized digital representation of physical assets, enabling structured data exchange and interoperability across enterprise systems.

Asset Data Migration

Asset data migration is the process of transferring, transforming, and validating asset information — equipment registers, technical attributes, and documentation — from legacy systems to new CMMS, ERP, or asset management platforms.

Asset Hierarchy

An asset hierarchy is a structured classification of physical assets from facility level down to individual components — enabling consistent equipment identification, maintenance planning, and reporting across CMMS, ERP, and asset management systems.

Asset Information Management (AIM)

Asset Information Management (AIM) is the structured management of data and documentation required to operate and maintain physical assets throughout their lifecycle.

CFIHOS

CFIHOS defines what structured asset data and documentation must be delivered at project handover in oil and gas, energy, and capital-intensive industries — and in what format.

Change Control for Master Data

Change control for master data is the governed process for managing updates to asset data — tag registers, equipment specifications, and engineering documentation — ensuring every change is approved, traceable, and reflected consistently across all systems.

Common Data Environment (CDE)

A Common Data Environment (CDE) is a shared digital platform where project and asset information is stored, managed and exchanged in a structured and controlled way.

Data Interoperability

Data interoperability is the ability of different engineering and asset management systems to exchange, interpret, and use information without manual translation — enabling seamless data flow between EDMS, CMMS, ERP, and digital twin platforms.

Data Quality Management

Data quality management is the process of measuring, monitoring, and improving the accuracy, completeness, and consistency of asset data — ensuring it is fit for purpose across engineering, operations, and maintenance systems.

Digital Backbone

A digital backbone is the integrated data infrastructure that connects engineering, operational, and maintenance systems across an industrial facility — providing a single, consistent source of asset information that all applications can access and trust.

Digital Product Passport (DPP)

A Digital Product Passport (DPP) is a standardized digital record capturing product identity, materials, certifications, and lifecycle data — supporting traceability, sustainability reporting, and EU ESPR regulatory compliance across industrial supply chains.

Digital Twin

A digital twin is a live digital representation of a physical asset that integrates structured data, engineering documentation, and real-time operational metrics — enabling predictive maintenance, remote monitoring, and better lifecycle decisions in oil and gas, energy, and heavy industry.

Document Handover Package

A document handover package is the complete set of engineering documentation, as-built drawings, vendor data, and certificates transferred from EPC to owner-operator at project completion — forming the information baseline for operations and maintenance.

Engineering Document Management System (EDMS)

An Engineering Document Management System (EDMS) is software used to control and manage engineering documents such as drawings, specifications and technical files across projects and assets.

Industrial Safe AI

Industrial Safe AI refers to the application of artificial intelligence in oil and gas, energy, and heavy industry in ways that are reliable, auditable, and aligned with safety and regulatory requirements — where AI outputs can be trusted to support operational and engineering decisions.

ISO 15926

ISO 15926 is an international standard for data integration and interoperability in oil and gas, process, and power plant facilities — providing a common semantic framework that enables different engineering systems to exchange asset information reliably.

Master Data Governance

Master data governance is the framework of policies, processes, and ownership structures that ensure asset master data — equipment registers, tag numbers, technical specifications — remains accurate, consistent, and authoritative across all systems throughout the asset lifecycle.

Master Tag Register (MTR)

A Master Tag Register (MTR) is the authoritative list of all tagged items in a facility — equipment, instruments, pipelines, and structures — each assigned a unique tag number that serves as its identifier across all engineering and operational systems.

Supplier Data Management

Supplier data management is the process of collecting, validating, and integrating technical data and documentation from equipment vendors and subcontractors into owner-operator systems — a critical determinant of handover quality in capital projects.

Tag Management (Industrial)

Tag management in industrial facilities is the governed process of creating, maintaining, and retiring equipment tag numbers — ensuring every physical asset has a unique, consistent identifier across all engineering, maintenance, and operational systems.