The Big Data for Discovery Science Center (BDDS) - comprised of leading experts in biomedical imaging, genetics, proteomics, and computer science - is taking an "-ome to home" approach toward streamlining big data management, aggregation, manipulation, integration, and the modeling of biological systems across spatial and temporal scales.


Welcome to the BDDS Data pages. BDDS does not collect data but we have assembled derived and other data sets so that researchers can explore, analyze and make correlations on big data. We encourage users to try BDDS tools that have been specifically created for managing big data. Users can also use their existing tools to analyze the data. With BDDS tools, we aim to give researchers new ways to interrogate these datasets to uncover new hypotheses and discoveries.


The Autism Brain Imaging Data Exchange (ABIDE) data includes complex multi-source, incomplete, incongruent and multi-modal data for Autism spectrum disorder (ASD) pediatric cases. Core characteristics of ASD include impairment in social reciprocity, and by repetitive, restricted, and stereotyped behaviors/interests.

BDDS tools can be used to explore the data for heterogeneous clinical, biological and physio-social characteristics of the ASD phenotypes. Specific biomedical questions that can be addressed via such data include early determination, tracking, diagnosis and prognosis, as well as assessing the clinical impact of alternative treatments.