The Big Data Institute (BDI) is an interdisciplinary research institute that focuses on the analysis of large, complex, heterogeneous data sets for research into the causes and consequences, prevention and treatment of disease. Big Data methods are transforming the scale (breadth, depth and duration) and efficiency (data accumulation, storage, processing and dissemination) of large-scale clinical research. The work of the BDI requires people and projects that span traditional departmental boundaries and scientific disciplines, supported by technical resources to handle the vast quantities of data they generate.
The BDI is housed in a new building on the Oxford University Old Road Campus and provides core facilities in high performance computing.
Under the leadership of Professor Gil McVean (Director) and Professor Martin Landray (Deputy Director), the BDI comprises around 250 researchers (approx. 20 research groups) drawn from a wide range of departments and forms an analytical hub, deeply connected to the wider experimental and clinical community in Oxford and beyond. BDI researchers work on data acquisition, curation, computation and analysis pipelines (either in specific medical domains or on more general methodological and technical innovations), as well as in relevant areas of ethics, governance and policy. There are opportunities for joint recruitment with departments from across the range of scientific areas.
A portfolio of career development activities (visitor programmes, workshops, conferences) at post-graduate, and post-doctoral levels is being developed under the direction of Professor Cecilia Lindgren. These will build on relevant modules and courses from across the University.
The Big Data Institute has received capital funding from the Higher Education Funding Council for England, the Medical Research Council, the British Heart Foundation, and the Robertson Foundation. Funding for senior posts has been received from the Li Ka Shing Foundation and the Robertson Foundation.