ISO 20691:2022 img
Aktívna norma | Vydaná: 04.11.2022

ISO 20691:2022

Biotechnology — Requirements for data formatting and description in the life sciences
(Biotechnologie — Exigences relatives au formatage et a la description des données dans les sciences de la vie)

Dostupné jazyky: Anglicky

Dostupné prevedenie: Elektronické PDF, Tlačené

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Podrobné informácie

Označenie: ISO 20691:2022

Dátum vydania: 04.11.2022

Stránok: 54

Krajina: Medzinárodná technická norma

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Anotácia

Description / Abstract: This document specifies requirements for the consistent formatting and documentation of data and corresponding metadata (i.e. data describing the data and its context) in the life sciences, including biotechnology, and biomedical, as well as non-human biological research and development. It provides guidance on rendering data in the life sciences findable, accessible, interoperable and reusable (F-A-I-R). This document is applicable to manual or computational workflows that systematically capture, record or integrate data and corresponding metadata in the life sciences for other purposes. This document provides formatting requirements for both primary experimental or procedural data obtained manually and machine derived data. This document also describes requirements for storing, sharing, accessing, interoperability and reuse of data and corresponding metadata in the life sciences. This document specifies requirements for large quantities of data systematically obtained from automated high throughput workflows in the life sciences, as well as requirements for large-scale and small-scale data sets obtained by other life science technologies and manual data capture. This document is applicable to many domains in biotechnology and the life sciences including, but not limited to: basic/applied research in all domains of the life sciences, and industrial, medical, agricultural, or environmental biotechnology (excluding for diagnostic or therapeutic purposes), as well as methodology-driven domains, such as genomics (including massive parallel sequencing, metagenomics, epigenomics and functional genomics), transcriptomics, translatomics, proteomics, metabolomics, lipidomics, glycomics, enzymology, immunochemistry, synthetic biology, systems biology, systems medicine and related fields.
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