Imperial College London
Alternate

MrFlorianGuitton

Faculty of Engineering, Department of Computing

Systems Engineer and Infrastructure Manager
 
 
 
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Contact

 

+44 (0)20 7594 8190f.guitton Website

 
 
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Location

 

William Penney LaboratorySouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Emam:2019:10.1038/s41597-019-0156-9,
author = {Emam, I and Elyasigomari, V and Matthews, A and Pavlidis, S and Rocca-Serra, P and Guitton, F and Verbeeck, D and Grainger, L and Borgogni, E and Del, Giudice G and Saqi, M and Houston, P and Guo, Y},
doi = {10.1038/s41597-019-0156-9},
journal = {Scientific Data},
pages = {149--149},
title = {PlatformTM, a standards-based data custodianship platform for translational medicine research.},
url = {http://dx.doi.org/10.1038/s41597-019-0156-9},
volume = {6},
year = {2019}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - 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.
AU  - Emam,I
AU  - Elyasigomari,V
AU  - Matthews,A
AU  - Pavlidis,S
AU  - Rocca-Serra,P
AU  - Guitton,F
AU  - Verbeeck,D
AU  - Grainger,L
AU  - Borgogni,E
AU  - Del,Giudice G
AU  - Saqi,M
AU  - Houston,P
AU  - Guo,Y
DO  - 10.1038/s41597-019-0156-9
EP  - 149
PY  - 2019///
SN  - 2052-4463
SP  - 149
TI  - PlatformTM, a standards-based data custodianship platform for translational medicine research.
T2  - Scientific Data
UR  - http://dx.doi.org/10.1038/s41597-019-0156-9
UR  - https://www.ncbi.nlm.nih.gov/pubmed/31409798
UR  - https://www.nature.com/articles/s41597-019-0156-9
UR  - http://hdl.handle.net/10044/1/72861
VL  - 6
ER  -
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