The ability to share data between research projects is an important goal for the management of phenotypicand genotypic data in a large and diverse clinical and basic research environment such as is found atPartners Healthcare Inc. The infrastructure to support data sharing in this environment, and specifically theDriving Biology Progects (DPB's) that serve to promote focused and real-world development, has as it'sspecific aims: (1) Support the standardization of data and data structures used in the DBP's. (2) Allow datathat is collected by the investigators in a standardized format to be imported into a central repository. (3)Maintain a central repository with research and hospital data. (4) Support precise patient identification toallow the sharing of data regarding specific research subjects between various databases, including the mainhospital clinical repositories. (5) Support the aggregation and unified computation of phenotypic andgenotypic research subject data by allowing a common vocabulary to map to various phenotypic andgenotypic concepts. (6) Support the ownership of research data through a model that allows centralizedcomputation, yet ensures the investigator that data will be within their control. (7) Allow centralizedrepositories at institutions to communicate in a standardized fashion with other institutions to allow globalqueries for aggregate numbers. (8) Support a data analyst who can work with the DBP's to develop datamodels and coding vocabularies.The central repository of study patient data forms the core of the infrastructure. The architecture of thisrepository has been determined by many years of experience in its operation. But to function effectively inany institution, the additional functionality of a master patient index, loosely coupled vocabulary manager,and data ownership protection will need to be added. The uploading of study specific data into thisrepository in a high throughput fashion will be the essential end result of the infrastructure management.

Agency
National Institute of Health (NIH)
Institute
National Library of Medicine (NLM)
Type
Specialized Center--Cooperative Agreements (U54)
Project #
5U54LM008748-05
Application #
7668058
Study Section
Special Emphasis Panel (ZRG1)
Project Start
2008-08-01
Project End
2009-07-31
Budget Start
2008-08-01
Budget End
2009-07-31
Support Year
5
Fiscal Year
2008
Total Cost
$298,762
Indirect Cost
Name
Brigham and Women's Hospital
Department
Type
DUNS #
030811269
City
Boston
State
MA
Country
United States
Zip Code
02115
Yu, Zhi; Kim, Seoyoung C; Vanni, Kathleen et al. (2018) Association between inflammation and systolic blood pressure in RA compared to patients without RA. Arthritis Res Ther 20:107
Agniel, Denis; Kohane, Isaac S; Weber, Griffin M (2018) Biases in electronic health record data due to processes within the healthcare system: retrospective observational study. BMJ 361:k1479
Yu, Sheng; Ma, Yumeng; Gronsbell, Jessica et al. (2018) Enabling phenotypic big data with PheNorm. J Am Med Inform Assoc 25:54-60
Luo, Yuan; Wang, Fei; Szolovits, Peter (2017) Tensor factorization toward precision medicine. Brief Bioinform 18:511-514
Luo, Yuan; Uzuner, Özlem; Szolovits, Peter (2017) Bridging semantics and syntax with graph algorithms-state-of-the-art of extracting biomedical relations. Brief Bioinform 18:160-178
Luo, Yuan (2017) Recurrent neural networks for classifying relations in clinical notes. J Biomed Inform 72:85-95
Nanba, Kazutaka; Vaidya, Anand; Williams, Gordon H et al. (2017) Age-Related Autonomous Aldosteronism. Circulation 136:347-355
Kim, Youngjun; Riloff, Ellen; Meystre, Stéphane M (2017) Exploiting Unlabeled Texts with Clustering-based Instance Selection for Medical Relation Classification. AMIA Annu Symp Proc 2017:1060-1069
Bigdeli, T B; Ripke, S; Peterson, R E et al. (2017) Genetic effects influencing risk for major depressive disorder in China and Europe. Transl Psychiatry 7:e1074
Hundemer, Gregory L; Baudrand, Rene; Brown, Jenifer M et al. (2017) Renin Phenotypes Characterize Vascular Disease, Autonomous Aldosteronism, and Mineralocorticoid Receptor Activity. J Clin Endocrinol Metab 102:1835-1843

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