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hal.structure.identifierPlateforme Exploration du Métabolisme [PFEM]
dc.contributor.authorPÉTÉRA, Mélanie
hal.structure.identifierBiologie du fruit et pathologie [BFP]
hal.structure.identifierPlateforme Bordeaux Metabolome
dc.contributor.authorCABASSON, Cecile
hal.structure.identifierPlateforme Exploration du Métabolisme [PFEM]
dc.contributor.authorCOMTE, Blandine
hal.structure.identifierPlateforme Exploration du Métabolisme [PFEM]
dc.contributor.authorDUPERIER, Christophe
hal.structure.identifierInstitut de Génétique, Environnement et Protection des Plantes [IGEPP]
dc.contributor.authorFILANGI, Olivier
hal.structure.identifierBiologie du fruit et pathologie [BFP]
hal.structure.identifierPlateforme Bordeaux Metabolome
dc.contributor.authorPRIGENT, Sylvain
hal.structure.identifierPlateforme Exploration du Métabolisme [PFEM]
dc.contributor.authorPUJOS-GUILLOT, Estelle
hal.structure.identifierPlateforme Exploration du Métabolisme [PFEM]
dc.contributor.authorGIACOMONI, Franck
dc.date.conference2022-09-05
dc.description.abstractEnToday, the intra-lab application of best practices in the metabolomics field usually guarantees an adequate data exploitation within a single lab. However, the growing interest in multi-analyses designs (e.g. complementary analytical platforms, variety of matrices, multi-omics), as well as the need of data sharing and reuse, increase the difficulty of data management. Indeed, managing the multiplicity and the heterogeneity of information involved is required to achieve relevant knowledge extraction from metabolomics data. Within the MetaboHUB national infrastructure, one objective is to optimize data handling, especially metadata, to facilitate large-scale analyses, multi-platforms studies, and data FAIRisation (Findability, Accessibility, Interoperability, Reusability). In particular, this fits in the MetaboHUB scientific roadmap that promotes the open science development in the field of metabolomics.In the context of metabolomic and lipidomic studies, data production and analysis come along with a large diversity of metadata (data of the data). To identify clearly-defined bottlenecks and targets for future improvement in data management, the objective of this work was to build a metadata map at the scale of a scientific project. Aiming for completeness, this map was constructed in a collaborative and multidisciplinary way involving chemists, biologists, data stewards as well as computer scientists, combining their respective experience and knowledge. Based on the resulting metadata map, targets (areas and topics) to be further investigated were identified, enabling the construction of transversal working groups at the consortium scale. In particular, this work enables to focus efforts on clearly defined issues to improve standardisation of practices regarding data management and metadata documentation. In conclusion, this collaborative map construction has been shown to be an efficient tool to draw a clear « where do we stand / where do we go » picture inside a national infrastructure like MetaboHUB regarding project-scale metadata. This facilitates the definition of a precise data management. Such an approach could be translated within other infrastructures, consortia and/or communities.
dc.description.sponsorshipDéveloppement d'une infrastructure française distribuée pour la métabolomique dédiée à l'innovation - ANR-11-INBS-0010
dc.language.isoen
dc.subjectMéta-données
dc.subjectMétabolomique
dc.subjectGestion de données de la recheche
dc.subject.enFAIR
dc.title.enA project-scale map of metadata to improve future data management
dc.typeAutre communication scientifique (congrès sans actes - poster - séminaire...)
dc.subject.halChimie/Autre
bordeaux.conference.titleAnalytics 2022
bordeaux.countryFR
bordeaux.conference.cityNantes
bordeaux.peerReviewedoui
hal.identifierhal-03776494
hal.version1
hal.invitednon
hal.proceedingsnon
hal.conference.end2022-09-08
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-03776494v1
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