LEVERAGING INFORMATION TECHNOLOGY FOR COLLABORATION IN CLINICAL TRIALS - Collaborative Computational Technologies for Biomedical Research - page 287

3. The internal users and the external collaborators need to cooperate as
an integrated cohesive team, but the intellectual properties are yet to be
protected.
4. The laboratory information systems for experiments and assays need to
be integrated with the system.
5. The external reference systems and databanks need to be integrated with
the system through a dynamic data fi ltering, ingesting, and transforma-
tion for transparent access to the relevant data.
6. A virtual workplace needs to be provided for knowledge sharing and
online collaboration across the organizational boundaries.
7. Semantic search and undirected data mining against multidimensional
data are essential analysis tools.
8. Very high performance computing resources, typically MPP (massively
parallel processing) clusters, in the range of trillions of fl oating point
operations per second (terafl ops) need to be provided as shareable
services.
9. A very high throughput content/storage management system needs to
be provided for policy-driven migration and recall of vast amounts of
data in the range of quadrillion bytes (petabytes).
The key enabling technologies include the following:
• Electronic health records to be shared among the health care profession-
als and the medical researchers
• Electronic data capture (EDC) system to be used by the health care
professionals at the sources of data
• Standard ontology and taxonomy for data representation and exchange
• Global patient identifi er to link fragmented patient data generated and
collected at various sources (e.g., general physician's offi ce, diagnostic
laboratories, private clinical offi ces, hospitals, clinical trial laboratories,
research laboratories)
• Cross - enterprise vocabulary services to be used among multidisciplinary
professionals
• Integrated security services and privacy framework to ensure data con-
fi dentiality and integrity and to comply with the statutory requirements
for protection of personal privacy
• Undirected data - mining facility for discovery of associations and covari-
ance among multidimensional heterogeneous data as well as directed
data-mining facilities for validation of hypothesis
• Knowledge sharing and online collaboration facility among multidisci-
plinary professionals
Computer - assisted workfl ow management helps the researchers navigate
through tools and data based on research scenarios, use cases, personal