Applying FAIR Principles to Plant Phenotypic Data Management in GnpIS.
Journal
Plant phenomics (Washington, D.C.)
ISSN: 2643-6515
Titre abrégé: Plant Phenomics
Pays: United States
ID NLM: 101769942
Informations de publication
Date de publication:
2019
2019
Historique:
received:
08
01
2019
accepted:
08
04
2019
entrez:
14
12
2020
pubmed:
30
4
2019
medline:
30
4
2019
Statut:
epublish
Résumé
GnpIS is a data repository for plant phenomics that stores whole field and greenhouse experimental data including environment measures. It allows long-term access to datasets following the FAIR principles: Findable, Accessible, Interoperable, and Reusable, by using a flexible and original approach. It is based on a generic and ontology driven data model and an innovative software architecture that uncouples data integration, storage, and querying. It takes advantage of international standards including the Crop Ontology, MIAPPE, and the Breeding API. GnpIS allows handling data for a wide range of species and experiment types, including multiannual perennial plants experimental network or annual plant trials with either raw data,
Identifiants
pubmed: 33313522
doi: 10.34133/2019/1671403
pmc: PMC7718628
doi:
Types de publication
Journal Article
Langues
eng
Pagination
1671403Informations de copyright
Copyright © 2019 C. Pommier et al.
Déclaration de conflit d'intérêts
The authors declare that they have no conflicts of interest.
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