Grapevine and wine metabolomics-based guidelines for fair data and metadata management
Resumen: In the era of big and omics data, good organization, management, and description of experimental data are crucial for achieving high-quality datasets. This, in turn, is essential for the export of robust results, to publish reliable papers, make data more easily available, and unlock the huge potential of data reuse. Lately, more and more journals now require authors to share data and metadata according to the FAIR (Findable, Accessible, Interoperable, Reusable) principles. This work aims to provide a step-by-step guideline for the FAIR data and metadata management specific to grapevine and wine science. In detail, the guidelines include recommendations for the organization of data and metadata regarding (i) meaningful information on experimental design and phenotyping, (ii) sample collection, (iii) sample preparation, (iv) chemotype analysis, (v) data analysis (vi) metabolite annotation, and (vii) basic ontologies. We hope that these guidelines will be helpful for the grapevine and wine metabolomics community and that it will benefit from the true potential of data usage in creating new knowledge being revealed.
Idioma: Inglés
DOI: 10.3390/metabo11110757
Año: 2021
Publicado en: Metabolites 11, 11 (2021), 757 [16 pp.]
ISSN: 2218-1989

Factor impacto JCR: 5.581 (2021)
Categ. JCR: BIOCHEMISTRY & MOLECULAR BIOLOGY rank: 90 / 297 = 0.303 (2021) - Q2 - T1
Factor impacto CITESCORE: 4.7 - Medicine (Q2) - Biochemistry, Genetics and Molecular Biology (Q2)

Factor impacto SCIMAGO: 0.956 - Endocrinology, Diabetes and Metabolism (Q2) - Biochemistry (Q2)

Tipo y forma: Article (Published version)
Área (Departamento): Área Química Analítica (Dpto. Química Analítica)

Creative Commons You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.


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