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 …