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Standard for Industrial Artificial Intelligence (AI) Data Attributes

Last updated: 7 Jan 2025

Development Stage

Pre-draft

Draft

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Scope

This standard defines attributes related to industrial Artificial Intelligence (AI) data that facilitates the classification, association, and mapping towards value creation using data. The attributes include but are not limited to data source, type, ownership, sampling frequency, traceability, privacy attributes for modeling, sampling, shareability and its use in AI algorithms. ©IEEE 2022. All rights reserved.

Purpose

This standard facilitates industrial AI data rationalization towards value creation to establish a common understanding of the AI relevant data among all stakeholders to accelerate AI solution and product development and deployment. This standard will provide a generic data framework to address common data elements shared across various industrial AI verticals. ©IEEE 2022. All rights reserved.

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Categorisation

Domain: Horizontal
Scope: AI-specific
Topic: Data collection, Data management, Data processing, Data protection, Data quality, Data sharing, Privacy
Type: Foundational and terminology

Key Information

Organisation: IEEE
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