BD2K Centers: The Basics

The Centers span the nation and the full range of biomedical research


Center for Expanded Data Annotation and Retrieval
Mission: To make data submission smarter and faster, so biomedical researchers and analysts can create and use better metadata.


Center for Big Data in Translational Genomics
Mission: A partnership coordinated by UC Santa Cruz to create scalable infrastructure for the broad application of genomics in biomedicine.


A Community Effort to Translate Protein Data to Knowledge: An Integrated Platform
Mission: To advance cardiovascular medicine through innovations in data science platforms and tools to enlist community contributions in Big Data computing.


Big Data for Discovery Science Center
Mission: To take an “-ome to home” approach toward streamlining big data management, aggregation, manipulation, integration, and the modeling of biological systems across spatial and temporal scales.


The National Center for Mobility Data Integration to Insight
Mission: To overcome the challenges of analyzing large data sets that describe human movement and to improve human movement across the wide range of conditions that limit mobility.


A Scalable Knowledge Engine for Large-Scale Genomic Data
Mission: To transform the way biomedical researchers analyze their genome-wide data by integrating multiple analytical methods derived from the most advanced data mining and machine learning research.


Enhancing Neuroimaging Genetics through Meta Analysis
Mission: To bring together researchers in imaging genomics to understand brain structure, function, and disease, based on brain imaging and genetic data.


Biological and HealthCare Data Discovery and Indexing Ecosystem
Mission: To develop a prototype data discovery index that will enable finding, accessing and citing biomedical big data.

* bioCADDIE received a Data Discovery Index Coordination Consortium (DDICC) Award through the BD2K program



Center for Predictive Computational Phenotyping
Mission: To developing methods for modeling and predicting thousands of phenotypes to advance biomedical science and improve human health.


Center for Causal Modeling and Discovery of Biomedical Knowledge from Big Data
Mission: To find meaningful relationships in big data that lead to new insights into health and disease.


Center of Excellence for Mobile Sensor Data-to-Knowledge
Mission: To develop Big Data solutions to quantify physical, biological, behavioral, social, and environmental factors that contribute to health and wellness in daily life.


Patient-Centered Information Commons: Standardized Unification of Research Elements
Mission: To create a massively scalable toolkit to enable large, multi-center Patient-centered Information Commons (PIC) at local, regional, and national scale, where the focus is the alignment of all available biomedical data (genetic, environmental, imaging, behavioral, or clinical) per individual.

LINCS Transcriptomics

Broad Institute LINCS Center for Transcriptomics
Mission: To develop comprehensive signatures of cellular states that can be used by the entire research community to understand protein function, small-molecule action, physiological states and disease states.



LINCS-BD2K Perturbation Data Coordination and Integration Center
Mission: To construct a high-capacity scalable integrated knowledge environment enabling federated access, intuitive querying and integrative analysis and visualizationacross all LINCS resources and many additional external data types from other relevant resources.

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