COST Action INTEGRAPE

Financement: HORIZON 2020 
Période: Avril 2018 > Septembre 2022
Contact EGFV: Serge DELROT
Coordinateur: Prof Mario PEZZOTTI (Università degli Studi di Verona) 

Résumé: The COST Action CA17111 INTEGRAPE will bring together all stakeholders in the grapevine research community (academic, industry, policymakers and consumers) in an open, international, and representative network to develop minimal data standards and good practices in order to integrate data repositories and improve interoperability between datasets. The ultimate objective is to harness and exploit all available data to achieve better management practices and more cost-effective breeding for improved genotypes. Grapevine is grown worldwide to produce fresh berries, processed fruits and wine. The major challenge is to control berry composition and maintain yields while limiting the use of pesticides, water and other inputs, thus adapting the industry to climate change while achieving environmental and economic sustainability. Grapevine research focuses on interactions between the genotype, phenotype and environment, and information must be integrated from heterogeneous datasets including ampelography, environmental biology, genetics, genomics, epigenomics, transcriptomics, proteomics and metabolomics. The data are currently dispersed and difficult to access, hindering meta-analysis (the re-use of grapevine data beyond the original experiments). No institution working in the field of grapevine research has yet taken on the mission to improve data integration and interoperability at the global level, although the grapevine research community is continuously producing large datasets. The concepts described will support stakeholders by developing innovative strategies to integrate grapevine data from existing resources and new experiments in a cost-effective manner, as well as making interoperable grapevine datasets and tools available in a secure and standardised format.

UMR EGFV is implicated in 3 working groups (1) Data interoperability and definition of minimal contextual data standards (2) Interoperability of infrastructures and web services and (3) Data analysis and best practices