Developing data interoperability using standards: A wheat community use case - INRAE - Institut national de recherche pour l’agriculture, l’alimentation et l’environnement Accéder directement au contenu
Article Dans Une Revue F1000Research Année : 2017

Developing data interoperability using standards: A wheat community use case

Michaël Alaux
Sophie Aubin
Cyril Pommier
Hadi Quesneville

Résumé

In this article, we present a joint effort of the wheat research community, along with data and ontology experts, to develop wheat data interoperability guidelines. Interoperability is the ability of two or more systems and devices to cooperate and exchange data, and interpret that shared information. Interoperability is a growing concern to the wheat scientific community, and agriculture in general, as the need to interpret the deluge of data obtained through high-throughput technologies grows. Agreeing on common data formats, metadata, and vocabulary standards is an important step to obtain the required data interoperability level in order to add value by encouraging data sharing, and subsequently facilitate the extraction of new information from existing and new datasets. During a period of more than 18 months, the RDA Wheat Data Interoperability Working Group (WDI-WG) surveyed the wheat research community about the
Fichier principal
Vignette du fichier
4d7bf4d6-daf6-4e90-ba34-6fe135d9d6eb_12234_-_Hadi_Quesneville.pdf (1.49 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

lirmm-01652022 , version 1 (29-11-2017)
lirmm-01652022 , version 2 (11-01-2018)

Identifiants

Citer

Esther Dzale Yeumo, Michaël Alaux, Elizabeth Arnaud, Sophie Aubin, Ute Baumann, et al.. Developing data interoperability using standards: A wheat community use case. F1000Research, 2017, 6, ⟨10.12688/f1000research.12234.1⟩. ⟨lirmm-01652022v1⟩
2037 Consultations
291 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More