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ISO 7554-3:2026 Surgical instruments — Terms, measuring methods and test methods — Part 3: Test methods

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ISO 41002:2026 Facility management — Development of the facility management organization

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ISO 39004:2026 Road traffic safety — Good practice for service providers using digital platform

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ISO 8472:2024

ISO 8472:2024 Biotechnology – Data interoperability for stem cell data – Part 1: Framework

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SKU: 0887506a3f3e Categories: ,

Description

This document specifies a framework for data interoperability of data systems, such as databases, data management systems, web interfaces, API, etc. that manage stem cell data.

It is applicable to all human stem cell types. This document does not apply to other animal stem cells or plant stem cells.

This document specifies considerations and requirements of stem cell data for data interoperability, such as cell characteristics, applied technologies, ethical requirements, and data sharing, analysis, and accessibility.

This document describes an interoperable framework for stem cell data, which can be used for existing systems or existing architectures.

The intended audiences for this document are data generators, implementors of IT infrastructure to handle the data, data providers and data consumers.

Edition

1

Published Date

2024-07-24

Status

PUBLISHED

Pages

11

Language Detail Icon

English

Format Secure Icon

Secure PDF

Abstract

This document specifies a framework for data interoperability of data systems, such as databases, data management systems, web interfaces, API, etc. that manage stem cell data.

It is applicable to all human stem cell types. This document does not apply to other animal stem cells or plant stem cells.

This document specifies considerations and requirements of stem cell data for data interoperability, such as cell characteristics, applied technologies, ethical requirements, and data sharing, analysis, and accessibility.

This document describes an interoperable framework for stem cell data, which can be used for existing systems or existing architectures.

The intended audiences for this document are data generators, implementors of IT infrastructure to handle the data, data providers and data consumers.

Previous Editions

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