ISO/IEC 23751:2022 PDF

Name: ISO/IEC 23751:2022 — Information technology — Cloud computing and distributed platforms — Data sharing agreement (DSA) framework
SKU: ISO/IEC 23751:2022
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Information technology — Cloud computing and distributed platforms — Data sharing agreement (DSA) framework

Название (английский):

ISO/IEC 23751:2022

Information technology — Cloud computing and distributed platforms — Data sharing agreement (DSA) framework

Статус документа:: Действующий
Формат:: Электронный (PDF)
Количество страниц:: 26
Дата публикации:: 15 февраля 2022 г.
Издание:: ISO/IEC IS 23751 edition 1 version 1
ICS:: 35.210

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Описание (английский):

This document establishes a set of building blocks, i.e. concepts, terms, and definitions, including Data Level Objectives (DLOs) and Data Qualitative Objectives (DQOs), that can be used to create Data Sharing Agreements (DSAs). This document is applicable to DSAs where the data is intended to be processed using one or more cloud services or other distributed platforms.

Abstract

Похожие стандарты

Другие стандарты ISO

Overview

ISO/IEC 23751:2022 - Information technology - Cloud computing and distributed platforms - Data sharing agreement (DSA) framework - defines a common set of building blocks (concepts, terms and definitions) to create consistent Data Sharing Agreements (DSAs) for data processed on cloud services and other distributed platforms. The standard introduces the twin concepts of Data Level Objectives (DLOs) and Data Qualitative Objectives (DQOs) to describe and govern dataset characteristics and expected behaviors across the data lifecycle. Its purpose is to reduce time and cost in initiating data sharing projects by providing standardized terminology and modular agreement elements.

Key topics and technical requirements

DSA structure and roles: Guidance on DSA purpose, parties (data originator, data holder, data user), trust relationships, and data flow elements.

Dataset description: Standardized metadata elements (title, domain, data dictionary, format, data types, gathering policy, revision history, statistics) to enable interoperable dataset identification and assessment.

DLOs and DQOs: Mechanisms for specifying measurable objectives and qualitative controls for datasets (used to express requirements for quality, provenance, integrity, access and use).

Data use obligations and controls: Templates for allowed/disallowed uses, regulatory controls, holder/user obligations, and permitted uses of processing outputs.

Provenance, quality and integrity: Requirements for data provenance records, quality metrics and integrity controls to support trustworthiness and reproducibility.

Chain of custody and transfer of custody: Elements to record custody paths and handover requirements for accountability across distributed platforms.

Security and privacy: Security and privacy objectives for both data holders and data users when processing on cloud or distributed platforms.

Proof of compliance: Methods and mechanisms for demonstrating conformance with DLOs/DQOs and DSA requirements.

Governance and ecosystem considerations: Informative guidance on governance models and alternatives to bespoke DSAs.

Applications and practical value

Accelerates negotiation and drafting of DSAs for cloud migration, cross-organization analytics, AI model training, IoT data sharing, and research consortia.

Improves interoperability and clarity between data providers, cloud service providers, platform operators, and data consumers.

Supports regulatory compliance efforts by documenting data use limits, provenance, custody and proof of compliance.

Helps reduce legal and operational risks when combining datasets for Big Data, machine learning, or multi-party data ecosystems.

ISO/IEC 23751:2022 PDF

Abstract

Похожие стандарты

Overview

Key topics and technical requirements

Applications and practical value

Who should use this standard

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