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Standards - other classifications
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Basic standards
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Mapped results (89)
DIN SPEC 27070:2020 - Requirements and reference architecture of a security gateway for the exchange of industry data and services
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DIN SPEC 92001-1:2019-04 - Artificial Intelligence -Life Cycle Processes and Quality Requirements -Part 1: Quality Metamodel
(1)
IEC 61360-1:2017 - Standard data element types with associated classification scheme - Part 1: Definitions - Principles and methods
(1)
ISO/IEC 21823-1:2019 - Internet of things (IoT) — Interoperability for IoT systems — Part 1: Framework
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ISO/IEC 22989 - Artificial Intelligence Concepts and Terminology
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ISO/IEC 23053 - Framework for Artificial Intelligence (AI) Systems Using Machine Learning (ML)
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ISO/IEC 27000:2018 - Information technology -Security techniques -Information security management systems -Overview and vocabulary
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ISO/IEC 30118 series - Information technology -Open Connectivity Foundation (OCF) Specification
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Suppl on Y. Sup.aisr - Artificial Intelligence Standard Roadmap
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ISO/IEC 30166:2020 - Internet of things (IoT) — Industrial IoT
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ISO/IEC 38500:2015 - Information technology -- Governance of IT for the organization
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ISO/IEC 38505-1:2017 - Information technology -- Governance of IT -- Governance of data -- Part 1: Application of ISO/IEC 38500 to the governance of data
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(1)
ISO/IEC NP 24392 - Information technology -- Security techniques --Security reference model for Industrial Internet Platform (IIP)
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ISO/IEC CD 22123-2.3 - Information technology — Cloud computing — Part 2: Concepts
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ISO/IEC TR 20547-1:2020 - Information technology — Big data reference architecture — Part 1: Framework and application process
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ROS - Robot Operating System (ROS)
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IDS-RAM:2019 - IDSA Reference Architecture Model 3.0
(2)
ISO/IEC TR 30164:2020 - Internet of things (IoT) -Edge Computing
(3)
(1)
ISO 11354-1:2011 - Advanced automation technologies and their applications — Requirements for establishing manufacturing enterprise process interoperability — Part 1: Framework for enterprise interoperability
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ISO 11354-2:2015 - Advanced automation technologies and their applications — Requirements for establishing manufacturing enterprise process interoperability — Part 2: Maturity model for assessing enterprise interoperability
(1)
ISO 13849-1:2015 - Safety of machinery — Safety-related parts of control systems — Part 1: General principles for design
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ISO 20140-5:2017 - Automation systems and integration — Evaluating energy efficiency and other factors of manufacturing systems that influence the environment — Part 5: Environmental performance evaluation data
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ISO 9001:2015 - Quality management systems — Requirements
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(3)
ISO/IEC/IEEE 42010:2011 - Systems and software engineering — Architecture description
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ISO/TS 9002:2016 - Quality management systems — Guidelines for the application of ISO 9001:2015
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ISO 9000 GLOSSARY - Glossary -Guidance on selected words used in the ISO 9000 family of standards
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IEC 61158-1:2023 Industrial communication networks - Fieldbus specifications - Part 1: Overview and guidance for the IEC 61158 and IEC 61784 series
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eCl@ss - eCl@ss
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FG Cloud TR Version 1.0 (02/2012) - FG Cloud Technical Report Part 2: Functional requirements and reference architecture
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ISO 31000:2018 - Risk management — Guidelines
(2)
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ISO 23952:2020 - Quality information framework (QIF) — An integrated model for manufacturing quality information
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(2)
ISO/IEC TR 20547-2:2018 - Information technology - Big data reference architecture - Part 2: Use cases and derived requirements
(1)
IEC 61511-1:2016+AMD1:2017 CSV Consolidated version - Functional safety - Safety instrumented systems for the process industry sector - Part 1: Framework, definitions, system, hardware and application programming requirements
(1)
ISO/IEC TR 22417:2017 - Information technology — Internet of things (IoT) use cases
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ISO 10303 series - Industrial automation systems and integration — Product data representation and exchange
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ISO/IEC TR 20547-5:2018 - Information technology - Big data reference architecture - Part 5: Standards roadmap
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ISO 23257 - Blockchain and distributed ledger technologies — Reference architecture
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IIRA:2019 - The Industrial Internet of ThingsVolume G1: Reference Architecture Version 1.9
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ISO 22549-2:2020 - Automation systems and integration -Assessment on convergence of informatization and industrialization for industrial enterprises — Part 2: Maturity model and evaluation methodology
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ISO/IEC TR 24028:2020 - Information technology - Artificial intelligence - Overview of trustworthiness in artificial intelligence
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IEEE P2413:2019 - Architectural Framework for the Internet of Things (IoT)
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(1)
ISO 22549-1:2020 - Automation systems and integration -Assessment on convergence of informatization and industrialization for industrial enterprises -Part 1: Framework and reference model
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(1)
IEC TS 62832-1:2016 - Industrial-process measurement, control and automation - Digital factory framework - Part 1: General principles
(1)
(1)
ISO 22400-2:2014 - Automation systems and integration — Key performance indicators (KPIs) for manufacturing operations management — Part 2: Definitions and descriptions
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IEC PAS 63088:2017 - Smart manufacturing -Reference architecture model industry 4.0 (RAMI4.0)
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ISO/IEC 18045:2008 - Information technology — Security techniques — Methodology for IT security evaluation
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ISO/IEC TS 27100 - Information technology -- Cybersecurity -- Overview and concepts
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(1)
ISO/IEC 20546:2019 - Information technology - Big data - Overview and vocabulary
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ISO/IEC TR 24030 - Artificial Intelligence (AI) — Use cases
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IEC 63278-1 ED1 - Asset administration shell (AAS) for industrial applications -Part 1:Administration shell structure
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IEC 62714 series] - Engineering data exchange format for use in industrial automation systems engineering - Automation Markup Language
(2)
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ISO 10303-236:2006 - Industrial automation systems and integration -Product data representation and exchange -Part 236: Application protocol: Furniture catalogue and interior design -and Application modules
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IEC 62541 series - OPC unified architecture
(3)
(1)
DIN SPEC 13266:2020-04 - Guideline for the development of deep learning image recognition systems
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