R&D co-Directors Staal Vinterbo, UCSD School of Medicine, Vineet Bafna
(inset), UCSD Computer Science and Engineering

A team of quantitative scientists (information and computer scientists, biostatisticians, mathematicians, and software engineers) will develop tools, services, and a biomedical cyberinfrastructure (BCI) for use by biomedical and behavioral researchers.  The application tools being developed will provide privacy preservation, informed consent management, integration, and analysis.  The BCI will be designed and developed by means of an aggressively model-based approach to enable stakeholder-driven engineering of the system.  At its highest level, the BCI will be composed of five subsystems: data acquisition, analysis framework, data management, presentation framework, and integration framework.  The services through BCI will include data acquisition, storage, and dissemination.

Major components of the planned software infrastructure

An important part of the information infrastructure provided by iDASH is to provide a single, comprehensive set of facilities to explore, navigate, analyze, and combine different forms of information provided by different data sources, within the bounds of privacy restrictions.  We will design our tools and technologies to be scalable and extensible so that many sources of heterogeneous data can be integrated.  We will develop tools that will allow us to efficiently integrate and annotate different types of data (clinical, genetic, and sensor-based), and these integration tools will support the privacy-preservation policies needed to share the data.

iDASH biomedical cyberinfrastructure and its subsystems