Big Data to Knowledge: Difference between revisions

Revision as of 17:45, 17 March 2015

Revision as of 17:46, 17 March 2015

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PI: Santosh Kumar

Grant Number: 1U54EB020404-01<ref>{{cite web |url= http://projectreporter.nih.gov/project_info_description.cfm?aid=8932074&icde=22003322 |title= The University of Memphis MD2K BD2K Project Information - |work= projectreporter.nih.gov }}</ref>

Researchers at the '''Center of Excellence for Mobile Sensor Data-to-Knowledge''' will develop innovative tools to make it easier to gather, analyze and interpret data from mobile sensors. These tools will reduce the burden of complex chronic disorders on health and healthcare by enabling detection and prediction of person-specific disease risk factors ahead of the onset of adverse clinical events. The center will study two specific problems as test cases: reducing hospital readmissions for patients with congestive heart failure and preventing relapse in those who have quit smoking.<ref>{{cite web |url= http://bd2k.nih.gov/FY14/COE/Kumar.pdf |title= The University of Memphis MD2K BD2K Abstract| work= bd2k.nih.gov }}</ref>

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PI: Mark A. Musen

Grant Number: 1U54AI117925-01<ref>{{cite web |url= http://projectreporter.nih.gov/project_info_description.cfm?aid=8921640&icde=22003384 |title= Stanford University CEDAR BD2K Project Information - Center for Expanded Data Annotation and Retrieval (CEDAR)BD2K Project Information |work= projectreporter.nih.gov }}</ref>

The ability to locate, analyze, and integrate Big Data depends on the metadata that describe the content of data sets. The '''Center for Expanded Data Annotation and Retrieval (CEDAR)''' will facilitate automated annotation of data with high quality metadata by generating community-based metadata standards and a metadata repository for training learning algorithms to develop metadata templates. These templates will initially be evaluated, validated, and adapted with the NIAID ImmPort multi-assay data repository and other data repositories.<ref>{{cite web |url= http://bd2k.nih.gov/FY14/COE/Musen.pdf |title= Stanford University CEDAR BD2K Abstract| work= bd2k.nih.gov }}</ref>

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PI: Paul M. Thompson

Grant Number: 1U54EB020403-01<ref>{{cite web |url= http://projectreporter.nih.gov/project_info_description.cfm?aid=8905093&icde=22003424 |title= The University of Southern California ENIGMA BD2K Project Information - ENIGMA Center for Worldwide Medicine, Imaging, and Genomics BD2K Project Information |work= projectreporter.nih.gov }}</ref>

The '''ENIGMA Center for Worldwide Medicine, Imaging and Genomics''' will incorporate the scientific acumen of more than 300 scientists worldwide, and their biomedical datasets, in a global effort to combat human brain diseases. This center will develop computational methods for integration, clustering, and learning from complex biodata types. This center’s projects will help identify factors that either resist or promote brain disease, and those that help diagnosis and prognosis, and will also help identify new mechanisms and drug targets for mental health care.<ref>{{cite web |url= http://bd2k.nih.gov/FY14/COE/Thompson.pdf |title= The University of Southern California ENIGMA BD2K Abstract| work= bd2k.nih.gov }}</ref>