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- Title
PlatformTM, a standards-based data custodianship platform for translational medicine research.
- Authors
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
- Abstract
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.
- Subjects
TRANSLATIONAL research; CUSTODIAL accounts; DATA integration; INFORMATION sharing; METADATA
- Publication
Scientific Data, 2019, Vol 6, Issue 1, pN.PAG
- ISSN
2052-4463
- Publication type
Article
- DOI
10.1038/s41597-019-0156-9