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PlatformTM, a standards-based data custodianship platform for translational medicine research

Biomedical informatics has traditionally adopted a linear view of the informatics process (collect, store and analyse) in translational medicine (TM) studies; focusing primarily on the challenges in data integration and analysis. However, a data management challenge presents itself with the new life...

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Detalles Bibliográficos
Autores principales: Emam, Ibrahim, Elyasigomari, Vahid, Matthews, Alex, Pavlidis, Stelios, Rocca-Serra, Philippe, Guitton, Florian, Verbeeck, Denny, Grainger, Lucinda, Borgogni, Erica, Del Giudice, Giuseppe, Saqi, Mansoor, Houston, Paul, Guo, Yike
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6692384/
https://www.ncbi.nlm.nih.gov/pubmed/31409798
http://dx.doi.org/10.1038/s41597-019-0156-9
Descripción
Sumario:Biomedical informatics has traditionally adopted a linear view of the informatics process (collect, store and analyse) in translational medicine (TM) studies; focusing primarily on the challenges in data integration and analysis. However, a data management challenge presents itself with the new lifecycle view of data emphasized by the recent calls for data re-use, long term data preservation, and data sharing. There is currently a lack of dedicated infrastructure focused on the ‘manageability’ of the data lifecycle in TM research between data collection and analysis. Current community efforts towards establishing a culture for open science prompt the creation of a data custodianship environment for management of TM data assets to support data reuse and reproducibility of research results. Here we present the development of a lifecycle-based methodology to create a metadata management framework based on community driven standards for standardisation, consolidation and integration of TM research data. Based on this framework, we also present the development of a new platform (PlatformTM) focused on managing the lifecycle for translational research data assets.