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Journal article

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

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.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1038/s41597-019-0156-9

Authors


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Role:
Author
ORCID:
0000-0002-7561-2787
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Role:
Author
ORCID:
0000-0002-6970-9072
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Institution:
University of Oxford
Division:
MPLS Division
Department:
Engineering Science
Role:
Author
ORCID:
0000-0001-9853-5668


Journal:
Scientific Data More from this journal
Volume:
6
Issue:
1
Article number:
149
Publication date:
2019-08-13
Acceptance date:
2019-07-25
DOI:
EISSN:
2052-4463
Pmid:
31409798


Language:
English
Keywords:
Pubs id:
pubs:1046275
UUID:
uuid:3c21c3dd-206f-4054-b6e9-b5c9cc09f3a6
Local pid:
pubs:1046275
Source identifiers:
1046275
Deposit date:
2019-09-30

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