35.020 - Information technology (IT) in general
ICS 35.020 Details
Information technology (IT) in general
Informationstechnik im allgemeinen
Technologie de l'information (TI) en général
Informacijska tehnika in tehnologija na splošno
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This document establishes general common organizational approaches, regardless of the type, size or nature of the applying organization, to ensure data quality for training and evaluation in analytics and machine learning (ML). It includes guidance on the data quality process for: — supervised ML with regard to the labelling of data used for training ML systems, including common organizational approaches for training data labelling; — unsupervised ML; — semi-supervised ML; — reinforcement learning; — analytics. This document is applicable to training and evaluation data that come from different sources, including data acquisition and data composition, data preparation, data labelling, evaluation and data use. This document does not define specific services, platforms or tools.
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DES/EE-0112
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This document provides the means for understanding and associating the individual documents of the ISO/IEC 5259 series and is the foundation for conceptual understanding of data quality for analytics and machine learning. It also discusses associated technologies and examples (e.g. use cases and usage scenarios).
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This document specifies requirements and provides guidance for establishing, implementing, maintaining and continually improving the quality of data used in the areas of analytics and machine learning. This document does not define a detailed process, methods or metrics. Rather it defines the requirements and guidance for a quality management process along with a reference process and methods that can be tailored to meet the requirements in this document. The requirements and recommendations set out in this document are generic and are intended to be applicable to all organizations, regardless of type, size or nature.
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This document specifies the process assessment model (PAM). It contains process definitions of the ITES-BPO lifecycle defined in ISO/IEC 30105-1 and a model suitable for assessing process capability. The outcomes in the PAM are clearly defined, observable results, aligned to the business benefits derived by the customer and service provider. A PAM consists of a set of indicators for process performance and process capability. The indicators are used as a basis for collecting the objective evidence that enables an assessor to determine ratings. The set of indicators included in this document is not intended to be an all-inclusive set, nor is it intended to be applicable in its entirety. Supersets and subsets are selected according to the context and the scope of the assessment. The PAM in this document is directed at assessment sponsors and competent assessors who wish to select a model and an associated documented assessment process for the ITES-BPO lifecycle processes, for process capability gap determination.
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This document specifies a measurement framework (MF) and an organization maturity model (OMM). It provides the overview of how an organization can use the process reference model (PRM) in ISO/IEC 30105-1 and the process assessment model (PAM) in ISO/IEC 30105-2 to measure their capability and maturity levels. It conforms to the requirements of ISO/IEC 33003 and ISO/IEC 33004 and supports the performance assessment by providing a framework to measure and derive capability and organization maturity levels. This document is intended to be used in concurrence with the other parts of the ISO/IEC 30105 series and the assessment approach provided by ISO/IEC 33002 for assessing processes.
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This document contains the guidance on supporting maturity improvement for service providers. It specifies the provision of assessment results that are repeatable, objective and comparable within similar contexts, and can be used for either process improvement or process capability gap determination. The framework for the conduct of assessments is designed to support the achievement of dependable assessment results. This document provides guidance on the usage of the core parts of the ISO/IEC 30105 series: ISO/IEC 30105-1, ISO/IEC 30105-2 and ISO/IEC 30105-3. This document also introduces the extended parts of the ISO/IEC 30105 series: ISO/IEC TS 30105-6, ISO/IEC TR 30105-7, ISO/IEC 30105-8 and ISO/IEC TS 30105-9.
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The ISO/IEC 30105 series specifies the lifecycle process requirements performed by the IT enabled business process outsourcing service provider for the outsourced business processes. It defines the processes to plan, establish, implement, operate, monitor, review, maintain and improve its services. This document specifies the process reference model (PRM). It contains process definitions across the lifecycle described in terms of process context, purpose and outcomes, together with a framework defining relationships between the processes. The process purpose details the high-level objective of performing the process such that implementation of the process leads to tangible benefits for stakeholders. The process outcomes are clearly defined by observable results and aligned to the business benefits derived by the customer and service provider. This document: — covers IT enabled business processes that are outsourced; — is not intended to address IT processes, but includes references to them at key touchpoints for completeness; — is applicable to the service provider, not to the customer; — is applicable to all lifecycle processes of ITES-BPO; — serves as a PRM for organizations providing ITES-BPO services.
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This document provides principles for IoT trustworthiness based on ISO/IEC 30141 - IoT Reference Architecture.
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ISO/IEC TS 30149:2024 provides principles for IoT trustworthiness based on ISO/IEC 30141 - IoT Reference Architecture.
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This document defines terms commonly used in the field of quantum computing. This document is applicable to all types of organizations (e.g. commercial enterprises, government agencies, not-for-profit organizations) to exchange quantum computing concepts.
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This document provides guidance on the relationship between ISO/IEC 20000–1:2018 and two commonly used frameworks, Agile and DevOps. It can be used by any organization or person wishing to understand how Agile and DevOps can be used with ISO/IEC 20000–1, including: a) an organization that has demonstrated or intends to demonstrate conformity to the requirements specified in ISO/IEC 20000–1 and is seeking guidance on the use of Agile or DevOps to establish or improve the SMS and the services; b) an organization that already uses Agile or DevOps and is seeking guidance on how Agile or DevOps can be used to support efforts to demonstrate conformity to the requirements specified in ISO/IEC 20000–1; c) an assessor or auditor who wishes to understand the use of Agile or DevOps as a support for achieving the requirements specified in ISO/IEC 20000–1. Both approaches can be used independently or together. Depending on the context, an organization can deploy Agile frameworks only, DevOps frameworks only, use both Agile and DevOps frameworks in isolation, or use an integrated workflow with combined Agile and DevOps approaches. In any of these situations, this document can be used as guidance for the integration of Agile and DevOps practices in an SMS. The guidance in this document can assist an organization in planning and preparing for a conformity assessment against ISO/IEC 20000-1, noting that an organization can only claim conformity by fulfilling all requirements specified in ISO/IEC 20000-1.
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ISO/IEC TS 30168:2024 specifies a generic programming interface for the integration of secure elements within Industrial IoT devices. This includes requirements from industrial usage scenarios and applications. This document also provides guidance for implementation and testing.
- Technical specification167 pagesEnglish languagesale 15% off
This document surveys machine learning (ML) computing devices, including the following: — ML computing device terminology and characteristics; — existing approaches to the setting and use of characteristics for optimizing ML computing device performance. The information provided in this document is relevant for organizations of all types and sizes.
- Technical report25 pagesEnglish languagesale 15% off
ISO/IEC TS 30168:2024 specifies a generic programming interface for the integration of secure elements within Industrial IoT devices. This includes requirements from industrial usage scenarios and applications. This document also provides guidance for implementation and testing.
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2022-02-21: This prAA covers common mods to prEN IEC 62368-1 - PR=74334
- Draft42 pagesEnglish languagesale 10% offe-Library read for1 day
IEC 62368-1:2023 is available as IEC 62368-1:2023 RLV which contains the International Standard and its Redline version, showing all changes of the technical content compared to the previous edition.IEC 62368-1:2023 is a product safety standard that classifies energy sources, prescribes safeguards against those energy sources, and provides guidance on the application of, and requirements for, those safeguards. The prescribed safeguards are intended to reduce the likelihood of pain, injury and, in the case of fire, property damage. The objective of the introduction is to help designers to understand the underlying principles of safety in order to design safe equipment. These principles are informative and not an alternative to the detailed requirements of this document.
- Draft371 pagesEnglish languagesale 10% offe-Library read for1 day
This document provides guidance on how organizations that develop, produce, deploy or use products, systems and services that utilize artificial intelligence (AI) can manage risk specifically related to AI. The guidance also aims to assist organizations to integrate risk management into their AI-related activities and functions. It moreover describes processes for the effective implementation and integration of AI risk management.
The application of these guidance can be customized to any organization and its context.
- Standard34 pagesEnglish languagesale 10% offe-Library read for1 day
This document sets out terminology and use cases for data use, sharing and exchange. This document provides use cases detailing various types of data usage from both historical and hypothetical perspectives. This document is applicable to all types of organizations.
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This document specifies a basic framework with principles, characteristics and approaches for the realization and enhancement for automated artificial intelligence (AI) systems’ controllability. The following areas are covered: — state observability and state transition; — control transfer process and cost; — reaction to uncertainty during control transfer; — verification and validation approaches. This document is applicable to all types of organizations (e.g. commercial enterprises, government agencies, not-for-profit organizations) developing and using AI systems during their whole life cycle.
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This document provides high-level guidance to data users, whether organizations or individuals, to assist in realizing the benefits from data usage while managing risks.
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This document provides a collection of representative use cases of AI applications in a variety of domains.
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This document defines Version 2.0 of the Core Business Vocabulary (CBV). The goal of this document is to specify the structure of vocabularies and specific values for the vocabulary elements to be utilized in conjunction with the GS1 Electronic Product Code Information Services (EPCIS) standard for data sharing both within and across enterprises. The aim is to standardize these elements across users of EPCIS to improve the understanding of data contained in EPCIS events.
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This document defines a reference architecture of knowledge engineering (KE) in artificial intelligence (AI). The reference architecture describes KE roles, activities, constructional layers, components and their relationships amongst themselves and other systems from systemic user and functional views. This document also provides a common KE vocabulary by defining KE terms.
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This document provides background about existing methods to assess the robustness of neural networks.
- Technical report39 pagesEnglish languagesale 10% offe-Library read for1 day
IEC 63474:2023 specifies methods of measurement of electrical power consumption in networked standby and the reporting of the results for edge equipment.
Power consumption in standby (other than networked standby) is covered by EN 50564, including the input voltage range.
This document also provides a method to test power management and to test whether it is possible to deactivate wireless network connection(s).
This document does not apply to the measurement of electrical power consumption in networked standby for interconnecting equipment.
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This document provides guidance for members of governing bodies of organizations on the effective, efficient and acceptable use of a shared digital service platform among ecosystem organizations by: — establishing a vocabulary for the governance of a shared digital service platform among ecosystem organizations; — providing a framework for understanding the implications of the use of a shared digital service platform among ecosystem organizations; — guiding governing bodies to evaluate, direct and monitor the introduction and use of a digital service platform, applying the governance principles of ISO/IEC 38500; — assuring stakeholders that, if the guidance proposed by this document is followed, they can have confidence in the organization’s use of shared digital service platform among ecosystem organizations. This document also provides guidance to those advising, informing or assisting governing bodies, including: — executive managers; — members of groups monitoring the resources within the organization; — external businesses or technical specialists, such as legal or accounting specialists, retail or industrial associations, or professional bodies; — public authorities and policy makers; — internal and external service providers (including consultants); — auditors.
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This document provides guiding principles for members of governing bodies of organizations and those that support them on the effective, efficient and acceptable use of information technology (IT) within their organizations. This document is applicable to: — the governance of the organization’s current, and future, use of IT; — the governance of IT as a domain of governance of organizations. In terms of audience, this document is applicable to: — all organizations, including public and private companies, government entities, and not-for-profit organizations; — organizations of all sizes, from the smallest to the largest, regardless of the extent of their use of IT.
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This document specifies baseline requirements intended to support the data protection certification
mechanism requested by Article 42 of the GDPR to demonstrate compliance in accordance with
EN ISO/IEC 17065.
It does not however apply to products or management systems destined for processing personal data.
This document is applicable to all organizations which, as personal data controllers and/or processors,
process personal data, and its objective is to provide a set of requirements supporting such organizations
in demonstrating compliance with the EU personal data protection normative framework
This document is applicable to all of an organization’s processing activities or to a specific subset of these
if such a decision does not involve failure to conform with the EU personal data protection normative
framework.
This document also provides indications for conformity assessment with the aforementioned
requirements.
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This document provides a definition of Internet of Things and digital twin along with a set of terms and definitions. This document is a terminology foundation for the Internet of Things and digital twin. This third edition cancels and replaces the second edition published in 2021. This edition constitutes a technical revision. This edition includes the following technical changes with respect to the previous edition: a) addition of new terms which are used in other ISO/IEC IoT related standards; b) update of some definitions to align with current usage in IoT standards; c) extension of digital twin related vocabularies with title and scope changes
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This document provides guidance on how organizations that develop, produce, deploy or use products, systems and services that utilize artificial intelligence (AI) can manage risk specifically related to AI. The guidance also aims to assist organizations to integrate risk management into their AI-related activities and functions. It moreover describes processes for the effective implementation and integration of AI risk management.
The application of this guidance can be customized to any organization and its context.
- Standard34 pagesEnglish languagesale 10% offe-Library read for1 day
ISO/IEC 20924:2024 is available as ISO/IEC 20924:2024 RLV which contains the International Standard and its Redline version, showing all changes of the technical content compared to the previous edition.ISO/IEC 20924:2024 provides a definition of Internet of Things and digital twin along with a set of terms and definitions. This document is a terminology foundation for the Internet of Things and digital twin. This third edition cancels and replaces the second edition published in 2021. This edition constitutes a technical revision. This edition includes the following technical changes with respect to the previous edition:
a) addition of new terms which are used in other ISO/IEC IoT related standards;
b) update of some definitions to align with current usage in IoT standards;
c) extension of digital twin related vocabularies with title and scope changes
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This document specifies requirements and recommendations concerning the physical security of data centres based on the criteria and classifications for “availability”, “security” and “energy efficiency enablement” within ISO/IEC 22237-1. This document provides designations for the data centre spaces defined in ISO/IEC 22237-1. This document specifies requirements and recommendations for such data centre spaces, and the systems employed within those spaces, in relation to protection against: a) unauthorized access addressing organizational and technological solutions; b) intrusion; c) internal fire events igniting within data centre spaces; d) internal environmental events (other than fire) within the data centre spaces which would affect the defined level of protection; e) external environmental events outside the data centre spaces which would affect the defined level of protection. NOTE Constructional requirements and recommendations are provided by reference to ISO/IEC 22237-2. Safety and electromagnetic compatibility (EMC) requirements are outside the scope of this document and are covered by other standards and regulations. However, information given in this document can be of assistance in meeting these standards and regulations. Conformance of data centres to the present document is covered in Clause 4.
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This document specifies requirements and recommendations for the construction of buildings and other structures which provide accommodation for data centres based on the criteria and classification for “physical security” within ISO/IEC 22237-1 in support of availability. This document specifies requirements and recommendations for the following: a) location and site selection (taking in to account natural environment and adjacencies); b) protection from environmental risks; c) site configuration; d) building construction; e) building configuration; f) provision of access; g) physical intrusion protection; h) physical fire protection; i) protection against damage from water; j) quality construction measures. Safety and electromagnetic compatibility (EMC) requirements are outside the scope of this document and are covered by other standards and regulations. However, information given in this document can be of assistance in meeting these standards and regulations. Conformance of data centres to the present document is covered in Clause 4.
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This document specifies how augmented reality (AR) and virtual reality (VR) devices are to be set up and used in the enterprise workplace in a manner that ensures health and safety (H&S) is maintained, H&S consequences are understood, and additional risks are not introduced. Within this concept of safe usage, there is particular focus on guidance around safe immersion (time) and safety in the workplace. This document defines the concepts of AR, VR, the virtuality continuum and other associated terms such as augmented virtuality and mixed reality. This document provides guidance on: a) setting up AR systems; b) setting up VR systems; c) safe usage and immersion in AR systems both in the consumer and enterprise domains; d) safe usage and immersion in VR systems both in the consumer and enterprise domains. This document focuses on visual aspects of AR and VR. Other modes such as haptics and olfactory are not addressed within this document. This document covers both the hardware (the physical AR/VR head mounted displays) and areas of visual stimulus (the environments and graphics displayed in those headsets). This document does not cover all possible visual stimulus scenarios; focus is directed toward those areas that are known to have implications on safe use. This specifically includes the source vection (visual illusion of self-motion in physically stationary AR/VR users) and/or motion (physical movement of AR/VR users) and associated safe use considerations. NOTE AR/VR have some shared safety concerns, but many are distinct to AR or VR and a consumer or enterprise environment. As such all of these are in scope, and this document is structured to account for these differences.
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This document provides guidance for identifying the context, opportunities and processes for developing and applying AI applications. The guidance provides a macro-level view of the AI application context, the stakeholders and their roles, relationship to the life cycle of the system, and common AI application characteristics and considerations.
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This document provides the criteria for effective concept systems. It provides the requirements for components, formation, representations, structural levels and management of concept systems. Concept systems are used in the description of semantics of data in ISO/IEC 11179 standards.
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This document describes the properties, related risk factors, available methods and processes relating to: — use of AI inside a safety related function to realize the functionality; — use of non-AI safety related functions to ensure safety for an AI controlled equipment; — use of AI systems to design and develop safety related functions.
- Technical report73 pagesEnglish languagesale 15% off
This document defines a set of processes and associated concepts for describing the life cycle of AI systems based on machine learning and heuristic systems. It is based on ISO/IEC/IEEE 15288 and ISO/IEC/IEEE 12207 with modifications and additions of AI-specific processes from ISO/IEC 22989 and ISO/IEC 23053. This document provides processes that support the definition, control, management, execution and improvement of the AI system in its life cycle stages. These processes can also be used within an organization or a project when developing or acquiring AI systems. When an element of an AI system is traditional software or a traditional system, the software life cycle processes in ISO/IEC/IEEE 12207 and the system life cycle processes in ISO/IEC/IEEE 15288 can be used to implement that element.
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This document addresses bias in relation to AI systems, especially with regards to AI-aided decision-making. Measurement techniques and methods for assessing bias are described, with the aim to address and treat bias-related vulnerabilities. All AI system lifecycle phases are in scope, including but not limited to data collection, training, continual learning, design, testing, evaluation and use.
- Draft45 pagesEnglish languagesale 10% offe-Library read for1 day
This document provides background about existing methods to assess the robustness of neural networks.
- Technical report39 pagesEnglish languagesale 10% offe-Library read for1 day
This document specifies the requirements and provides guidance for establishing, implementing, maintaining and continually improving an AI (artificial intelligence) management system within the context of an organization. This document is intended for use by an organization providing or using products or services that utilize AI systems. This document is intended to help the organization develop, provide or use AI systems responsibly in pursuing its objectives and meet applicable requirements, obligations related to interested parties and expectations from them. This document is applicable to any organization, regardless of size, type and nature, that provides or uses products or services that utilize AI systems.
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This specification contains the key requirements of a quality open source software security assurance program that establishes trust between organizations exchanging software solutions comprised of open source software.
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This document: a) defines metrics as key performance indicators (KPIs) for resilience, dependability, fault tolerance and availability tolerance for data centres; b) covers the data centre infrastructure (DCI) of power distribution and supply, and environmental control; c) can be referred to for covering further infrastructures, e.g. telecommunications cabling; d) defines the measurement and calculation of the KPIs and resilience levels (RLs); e) targets maintainability, recoverability and vulnerability; f) provides examples for calculating these KPIs for the purpose of analytical comparison of different DCIs. This document does not apply to IT equipment, cloud services, software or business applications.
- Technical specification43 pagesEnglish languagesale 15% off
This document provides guidance for organizations that are establishing or improving a service management system (SMS) by incorporating a service integrator. The incorporation of a service integrator is aimed at addressing an environment that includes services sourced from multiple service providers. This document specifically focuses on Service Integration and Management (SIAM) in the context of an SMS. The intended users of this document include: — organizations that need to manage multiple service providers within a new or existing SMS according to SIAM; and — consultants and advisors that support an organization during SMS implementation or improvement, where a SIAM approach is being adopted. NOTE 1 This document is applicable for organizations implementing SIAM in conjunction with SMS. It does not limit organizations or individuals from implementing any other management and governance model for managing multivendor environments along with SMS. This document is not applicable to organizations that have only one service provider. NOTE 2 In SIAM, the term "supplier" is not used. Internal and external suppliers are both referred to as “service providers”. See 4.2 for further comparison of terminology.
- Technical specification30 pagesEnglish languagesale 15% off
This document establishes terminology for digital twin (DTw) and describes concepts in the field of digital twin, including the terms and definitions of digital twin, concepts of digital twin (e.g. digital twin system context, life cycle process for digital twin, types of digital twin), functional view of digital twin, and digital twin stakeholders. This document can be used in the development of other standards and in support of communications among diverse, interested parties or stakeholders. This document is applicable to all types of organizations (e.g. commercial enterprises, government agencies, not-for-profit organizations).
- Standard28 pagesEnglish languagesale 15% off
ISO/IEC 30173:2023 establishes terminology for digital twin (DTw) and describes concepts in the field of digital twin, including the terms and definitions of digital twin, concepts of digital twin (e.g. digital twin system context, life cycle process for digital twin, types of digital twin), functional view of digital twin, and digital twin stakeholders.
This document can be used in the development of other standards and in support of communications among diverse, interested parties or stakeholders.
This document is applicable to all types of organizations (e.g. commercial enterprises, government agencies, not-for-profit organizations).
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