
doi: 10.1109/cbms.2016.32
Providing an appropriate level of accessibility to and tracking of data and process elements in large volumes of medical data is essential. Researchers require systems that provide traceability of information through provenance data capture and management to support clinical analyses. A Virtual Research Environment (VRE) in which data sets and workflows are described, captured, managed and instantiated across biomedical applications would provide an ideal platform for supporting collaborative analyses acting as a knowledge repository for research. We propose a solution that aims to provide detailed data and process traceability to support research analysis that is generically applicable across medical systems.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
