Glossary

Asset Administration Shell (AAS)

An Asset Administration Shell (AAS) is a standardized digital representation of physical assets — enabling structured data exchange across engineering, CMMS, ERP, and digital twin systems in oil & gas and energy.

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

Asset hierarchy organizes physical assets from site to component for CMMS and maintenance management. ISO 14224 and CFIHOS-aligned. Sharecat supports structured asset data across oil & gas, chemicals, utilities and renewables.

Asset Information Management (AIM)

AIM is the structured management of data and documentation for physical assets across their lifecycle — connecting engineering, project delivery, and operations in oil & gas, energy, and EPC projects.

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 CDE is the single source of truth for all project information in oil & gas, EPC and energy projects. ISO 19650-aligned, with controlled workflows and full audit trails.

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 cornerstone of digital transformation in asset-intensive industries — the integrated data infrastructure that connects engineering, operational, and maintenance systems into a single digital fabric, enabling real-time insight across every stage of the value chain.

Digital Product Passport (DPP)

A Digital Product Passport (DPP) is a structured digital record of a product's materials, certifications, and lifecycle data — mandated under EU ESPR for manufacturers, importers, and industrial equipment suppliers.

Digital Twin

A digital twin is a live asset model integrating structured data, documentation, and real-time metrics — for better decisions in oil and gas.

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)

Purpose-built EDMS for oil & gas, energy and EPC projects: version control, transmittal management, equipment linkage and digital handover. The complete guide.

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 the semantic standard for asset data in oil and gas, enabling system interoperability and underpinning CFIHOS and digital twin implementations.

Master Data Governance

Master data governance defines who owns, controls, and validates asset data — tag numbers, equipment specs, and documentation metadata — across CMMS, ERP, and EDMS in oil & gas and energy projects.

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 vendor documentation and equipment data to ensure complete, accurate handover on capital projects.

Tag Management

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.