BIG DATA for DISCOVERY SCIENCE
Let the data lead to the discoveries.
What can be done now, that was not possible before?
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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.
 

Dissemination

BDDS Video

Leveling the Playing Field
Big Brain Data Science & Applying Fair Principles to Your Daily Data Tasks

Carl Kesselman, PhD., University of Southern Californnia

Big Data Technologies for Biomedical Knowledge Discovery

Ravi Madduri, PhD., University of Chicago

Big Brain Data Science & Predictive Health Analytics

Ivo D. Dinov, PhD., University of Michigan

White PaperDecember 2015

Minid: A BD2K Minimal Viable Identifier Pilot

NIH Big Data to Knowledge (BD2K) All Hands Meeting, Bethesda, MDNovember 12-13 2015

A contingent of BDDS researchers will present findings and demos at the BD2K All Hands Meeting Nov. 12 and 13 at NIH in Bethesda, MD.

The BDDS Platform for Big Biomedical Data Management and Analysis: Discovering the role of Amyloid Deposition in Neurodegenerative Diseases

Ravi K Madduri, Michael D’Arcy, Kyle Chard, Alexis Rodriguez, Judy Pa, Naveen Ashish, Ben Heavner, Gustavo Glusman, Ivo Dinov, John Van Horn, Eric Deutsch, Nathan Price, Leroy Hood, Carl Kesselman, Ian Foster, Joseph Ames, Arthur Toga
University of Chicago, University of Southern California, Institute for Systems Biology, University of Michigan

Neuroimaging PheWAS

Kristi Clark, PhD1; Clio Gonzalez-Zacarias, MS1; Gustavo Glusman, PhD2; Surafael Yared, BS1; Sabir Saluja, BS1; Mike Darcy, PhD3; Carl Kesselman, PhD3; Arthur Toga1
1Laboratory of Neuro Imaging, USC Mark and Mary Stevens Neuroimaging and Informatics Institute, University of Southern California, Los Angeles, CA USA; 2Institute for Systems Biology, Seattle, WA USA; 3Information Sciences Institute, University of Southern California, Los Angeles, CA USA

Hippocampal Meta-Analysis Workflow

Ivo D. Dinov, Sam Hobel & the Pipeline Group

Let the Data Lead to the Discoveries: What can be done now, that was not possible before?

Arthur W Toga, Principal Investigator, BDDS

Predictive Big Data Analysis

Ivo D. Dinov, Ben Heavner, Ming Tang, Gustavo Glusman, Kyle Chard , Mike Darcy, Ravi Madduri , Judy Pa, Cathie Spino, Carl Kesselman, Ian Foster, Eric W. Deutsch, Nathan D. Price, John D. Van Horn, Joseph Ames, Kristi Clark, Leroy Hood, Benjamin M. Hampstead, William Dauer,and Arthur W. Toga
University of Michigan, Ann Arbor, Institute for Systems Biology, Seattle, University of Southern California, Los Angeles, University of Chicago, Chicago

Piloting a Data Publication Service for the BD2K Commons

Ian Foster, Kyle Chard, Aditya Parameswaran, Ivo Dinov, Ben Heavner, Gustavo Glusman, Mike D’Arcy, Ravi Madduri, Judy Pa, Carl Kesselman, Eric Deutsch, Nathan Price, John Van Horn, Joseph Ames, Kristi Clark, Leroy Hood, Jiawei Han, and Arthur Toga
University of Chicago, University of Illinois at Urbana-Champaign, University of Southern California, Institute for Systems Biology, University of Michigan

Sharing Centers

Google Drive

Working documents are shared via Google Drive.
If your email is not linked with the BDDS Google Docs space, please email joe.ames@ini.usc.edu to request access.