DOMAIN-FOCUSED DATA MODELS TO SUPPORT THE OPEN SCIENCE INITIATIVE AND THE FAIR PRINCIPLES

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41110%2F23%3A96511" target="_blank" >RIV/60460709:41110/23:96511 - isvavai.cz</a>

Výsledek na webu

<a href="https://ap.pef.czu.cz/en/r-12193-conference-proceedings" target="_blank" >https://ap.pef.czu.cz/en/r-12193-conference-proceedings</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

DOMAIN-FOCUSED DATA MODELS TO SUPPORT THE OPEN SCIENCE INITIATIVE AND THE FAIR PRINCIPLES

Popis výsledku v původním jazyce

The main objective of this paper is to evaluate available data model tools for sharing scientific data from selected areas of agricultural research and rural development. This contribution evaluates the application of the MIAPPE (Minimum Information About a Plant Phenotyping Experiment) and BrAPI (Breeding API) standards in facilitating FAIR (Findable, Accessible, Interoperable, and Reusable) principles-based data sharing in the field of plant phenotyping. Plant phenotyping plays a crucial role in agricultural research, and effective data management is essential for advancing scientific discoveries. The evaluation assesses the contributions and effectiveness of MIAPPE and BrAPI in enhancing data accessibility, discoverability, interoperability, and collaboration within the plant phenotyping community, aligning with the FAIR data principles. The findings provide valuable insights into the adoption and impact of these standards, enabling researchers to leverage standardized approaches for improved data sharing, integration, and scientific advancements in agriculture.

Název v anglickém jazyce

DOMAIN-FOCUSED DATA MODELS TO SUPPORT THE OPEN SCIENCE INITIATIVE AND THE FAIR PRINCIPLES

Popis výsledku anglicky

The main objective of this paper is to evaluate available data model tools for sharing scientific data from selected areas of agricultural research and rural development. This contribution evaluates the application of the MIAPPE (Minimum Information About a Plant Phenotyping Experiment) and BrAPI (Breeding API) standards in facilitating FAIR (Findable, Accessible, Interoperable, and Reusable) principles-based data sharing in the field of plant phenotyping. Plant phenotyping plays a crucial role in agricultural research, and effective data management is essential for advancing scientific discoveries. The evaluation assesses the contributions and effectiveness of MIAPPE and BrAPI in enhancing data accessibility, discoverability, interoperability, and collaboration within the plant phenotyping community, aligning with the FAIR data principles. The findings provide valuable insights into the adoption and impact of these standards, enabling researchers to leverage standardized approaches for improved data sharing, integration, and scientific advancements in agriculture.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2023

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

AGRARIAN PERSPECTIVES XXXII. : HUMAN CAPITAL AND EDUCATION IN AGRICULTURE

ISBN

978-80-213-3309-3

ISSN

2464-4781

e-ISSN

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Počet stran výsledku

7

Strana od-do

224-230

Název nakladatele

Česká země

Místo vydání

Prague

Místo konání akce

Prague

Datum konání akce

1. 1. 2023

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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