Data management Archives - Page 6 of 15

ISO 8000-63:2019 BS ISO 8000-63:2019

Data quality. Data quality management: Process measurement

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Measurement and test methods Process, management and governance

This document specifies a structure for process measurement stacks that organizations can instantiate to measure the characteristics of processes for…

Published

Last Updated: 18 Jul 2024

ISO/TS 8000-60:2017

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: 18 Jul 2024

ISO 8000-66:2021 BS ISO 8000-66:2021

Data quality. Data quality management: Assessment indicators for data processing in manufacturing operations

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Manufacturing AI-enabling - Data Data collection Data management

Data processing Data quality Project management Measurement and test methods Process, management and governance

What is ISO 8000‑66 about? ISO 8000‑66 discusses data quality management. ISO 8000‑66 specifies assessment indicators to support the assessment…

Published

Last Updated: 18 Jul 2024

ISO/TS 8000-82:2022 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: 18 Jul 2024

ISO 8000-62:2018 BS ISO 8000-62

Data quality – Data quality management: Organizational process maturity assessment: Application of standards relating to process assessment

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

Data quality Organisational governance Measurement and test methods Process, management and governance

The ability to create, collect, store, maintain, transfer, process and present information and data to support business processes in a…

Published

Last Updated: 18 Jul 2024

BS PAS 1882:2021

Data collection and management for automated vehicle trials for the purpose of incident investigation. Specification

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Transport and autonomous vehicles - Road vehicles AI-specific Data collection Data management

Data protection Data sharing Safety Robotics and autonomous systems Measurement and test methods Product and performance requirements

What is PAS 1882:2021 about? Sponsored by the Centre for Connected and Autonomous Vehicles (CCAV) and building on the requirements…

Published

Last Updated: 18 Jul 2024

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: 18 Jul 2024

ITU-T Y.3531

Cloud computing – Functional requirements for machine learning as a service

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Horizontal AI-specific Data collection Data management

Data processing Interoperability Security and resilience System architecture Process, management and governance Product and performance requirements

This Recommendation provides system context, functional requirements and use cases for machine learning as a service (MLaaS). In particular, the…

Published

Last Updated: 18 Jul 2024

BS 10102-1:2020

Big data. Guidance on data-driven organizations

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

Data collection Data management Data processing Data protection Data sharing Organisational governance Privacy Project management Process, management and governance

This part of BS 10102 gives guidance on realizing value from data, including big data, such as gaining insights, informing…

Published

Last Updated: 18 Jul 2024

BS 10102-2:2020

Big data. Guidance on data-intensive projects

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Healthcare and medicine Horizontal AI-enabling - Data AI-enabling - Project management

Data collection Data management Data processing Data protection Documentation Organisational governance Privacy Project management Process, management and governance

This part of BS 10102 provides guidance on good practice for implementing data-intensive projects to realize value, including: a) defining…

Published

Last Updated: 18 Jul 2024

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: 18 Jul 2024

ISO/IEC DIS 5259-5 ISO/IEC NP 5259-5

Artificial intelligence — Data quality for analytics and machine learning (ML) — Part 5: Data quality governance

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Horizontal AI-specific Data management Data quality

Organisational governance Process, management and governance

This document provides a data quality governance framework for analytics and machine learning to enable governing bodies of organizations to…

Draft

Last Updated: 18 Jul 2024

Content Type

Data quality. Data quality management: Process measurement

Data quality – Part 60: Data quality management: Overview

Data quality. Data quality management: Assessment indicators for data processing in manufacturing operations

Data quality – Data quality assessment: Creating data rules

Data quality – Data quality management: Organizational process maturity assessment: Application of standards relating to process assessment

Cloud computing – Functional requirements for machine learning as a service

Big data. Guidance on data-intensive projects

Artificial intelligence — Data quality for analytics and machine learning (ML) — Part 5: Data quality governance

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