Margaret Thatcher was famous for her need for little sleep, though nobody knows with any accuracy, how little. Now we have the sensor technology to capture many such types of lifecourse data in real-time, to passively stream those data directly to databases, and to connect 'research,' 'health' and 'clinical' data seamlessly together. This opens the potential for highly integrated systems?medicine research encompassing many disease domains in conjunction with highly multidimensional data -for example, linking data for sleep, environment, genetics, diabetes and cardiovascular health, and neuropsychiatry for an holistic approach to reearch. Such data not only encompass simple tabulatable information but also complex data types that cannot be represented in standard formats, for example, MRI, continuous monitoring/signal processing, quantitative proteomics and next-generation sequencing. Novel data types rely on emergent database technologies and as yet many different types of issues tend to confine individuals' data into isolated and lost 'pockets' - in the NHS, in research units or simply unrecorded. There might, for example, be signature relationships between sleep duration, neuroanatomy, genetic and 'omic determinants, lifecourse, and health outcomes - we need the technology and data silos to be joined up to find out.

Our proposal capitalises on unique data-orientated developments in the co-applicants' institutions and aims to integrate, structure global access, innovate real-time sampling of patient data, facilitate complex analyses across and within diseases and train a new cohort of medical informaticians to pave the way for personalised and systems medicine of the future. The institutions are already engaged with large scale multilevel data (e.g. MRC Centres in Bristol and Cardiff; ALSPAC and 1958 birth cohort in Bristol; diabetes collections in Exeter; BRU's in Leicester) and technological developments in the vanguard for database integration, access and analysis challenges. They also have large scale funding for sensor technology development (EPSRC - Bristol and collaborators), for omics integration (EU - Leicester), for graduate training in complexity (EPSRC) and analysis bioinformatics (MRC), for integrated biostats/bioinformatics (BBU - Cardiff) and importantly, for splicing or searching biomedical data types together flexibly and securely (e.g. BRISSKit, SHRINE, DataSHIELD - Bristol and Leicester). The deep complementarities between the co-applicant centres, form the basis of the proposal's workpackages which work toward seamless streaming, integration and analysis of data for biomedical research driven by the context of our specific health and disease studies.