Data Archives - AI Standards Hub

IEEE 7005

Data collection Data management Data processing Data protection Data sharing Documentation Explainability and transparency Organisational governance Privacy Security and resilience Process, management and governance Product and performance requirements

Specific methodologies to help employers in accessing, collecting, storing, utilizing, sharing, and destroying employee data are described in this standard.…

Published

Last Updated: 1 Jun 2023

ITU-T L Supplement 52

Computer processing, data management and energy perspective

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Energy AI-enabling - Data AI-enabling - Information management Data collection

Data management Data processing Data sharing Interoperability Sustainability System architecture System lifecycle Process, management and governance

Published

Last Updated: 1 Jun 2023

ITU-T Y.3602

Big data – Functional requirements for data provenance

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Horizontal AI-enabling - Data AI-enabling - Information management Data collection

Data management Data processing Data quality Data sharing Explainability and transparency Process, management and governance Product and performance requirements

Recommendation ITU‑T Y.3602 describes a model and operations for big data provenance. This Recommendation also provides the functional requirements for…

Published

Last Updated: 1 Jun 2023

ETSI GR ENI 012 V 1.1.1

Experiential Networked Intelligence (ENI) – Reactive In-situ Flow Information Telemetry

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Telecom and network-based services AI-specific AI-enabling - Data Data processing

Data sharing Interoperability System architecture Interface and architecture

The present document will describe the motivation, requirements, and challenges of using flow-oriented on-path telemetry techniques which provides relevant measurement…

Published

Last Updated: 11 May 2023

ISO/IEC 29155-4

Systems and software engineering — Information technology project performance benchmarking framework — Part 4: Guidance for data collection and maintenance

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Horizontal AI-enabling - Data AI-enabling - Information management AI-enabling - Project management

AI-enabling - Software Data collection Data management Data processing Data sharing Project management Process, management and governance Product and performance requirements

ISO/IEC 29155-4:2016 provides general requirements and guidance for collecting and maintaining data of information technology (IT) projects and for delivering…

Published

Last Updated: 11 May 2023

ISO/TS 8000-82 PD ISO/TS 8000-82:2022

Data quality – Data quality assessment: Creating data rules

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Horizontal AI-enabling - Data AI-enabling - Quality management Data collection

Data management Data processing Data quality Interoperability Project management Measurement and test methods Process, management and governance Product and performance requirements

This document describes how data rules apply to various types of data. Such rules exist to sustain the integrity and…

Published

Last Updated: 11 May 2023

ISO/IEC 38505-1

Information technology. Governance of IT. Governance of data – Application of ISO/IEC 38500 to the governance of data

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Horizontal AI-enabling - Data AI-enabling - Information management AI-enabling - IT governance

Data management Data quality Process, management and governance

1 Scope This document provides guiding principles for members of governing bodies of organizations (which can comprise owners, directors, partners, executive…

Published

Last Updated: 11 May 2023

PAS 186:2020 from BSI

Smart cities. Supplying data products and services for smart communities. Code of practice

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Smart cities AI-enabling - Data Data protection Data quality

Data sharing Procurement Security and resilience Process, management and governance

Smart communities require much more than just technology. Truly smart communities require citizen-centric and data-driven innovation – a new community…

Published

Last Updated: 11 May 2023

ISO/TS 8000-60

Data quality – Part 60: Data quality management: Overview

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Horizontal AI-enabling - Data AI-enabling - Information management Data management

Data quality Foundational and terminology Process, management and governance

Published

Last Updated: 11 May 2023

ISO/IEC TR 38505-2

Information technology – Governance of IT – Governance of data – Part 2: Implications of ISO/IEC 38505-1 for data management

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Horizontal AI-enabling - Corporate governance AI-enabling - Data AI-enabling - Information management

AI-enabling - IT governance Accountability Data management Organisational governance Process, management and governance

This document provides guidance to the members of governing bodies of organizations and their executive managers on the implications of…

Published

Last Updated: 11 May 2023

ISO/IEC TR 20547-5

Information technology – Big data reference architecture – Part 5: Standards roadmap

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Horizontal AI-enabling - Data Data management Foundational and terminology See more

This document describes big data relevant standards, both in existence and under development, along with priorities for future big data standards development based on…

Published

Last Updated: 11 May 2023

ISO/IEC TR 20547-1

Information technology – Big data reference architecture – Part 1: Framework and application process

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Horizontal AI-enabling - Data Data management Foundational and terminology

Interface and architecture Process, management and governance

What is ISO/IEC TR 20547-1 about? ISO/IEC TR 20547-1 is an international standard on artificial Intelligence which includes task performance…

Published

Last Updated: 11 May 2023

Content Type

Data quality – Data quality assessment: Creating data rules

Information technology. Governance of IT. Governance of data – Application of ISO/IEC 38500 to the governance of data

Data quality – Part 60: Data quality management: Overview

Information technology – Governance of IT – Governance of data – Part 2: Implications of ISO/IEC 38505-1 for data management

Information technology – Big data reference architecture – Part 5: Standards roadmap

Information technology – Big data reference architecture – Part 1: Framework and application process

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