The Administrative Component of the Patient-centered Information Commons (PIC) will be responsible for managing the overall conduct of this project. The management plan, headed by an Executive Team that includes the co-PIs, Drs. Isaac Kohane and Shawn Murphy, and the Executive Director, Susanne Churchill, has proposed a model based on this group's ten year experience with the i2b2 U54 National Center for Biomedical Computing. This plan focuses on the development and sustenance of a truly interactive and collaborative working group that involves all of the interdisciplinary domains required by this big data science project. Regularly structured interactions, progress reporting and ongoing evaluation are proposed to insure that progress is monitored, challenges identified, and solutions devised to address bottlenecks. Leadership will rely on a number of advisory bodies, including the NIH Science Team, an internal Scientific Advisory Board with expertise in areas affecting but not directly proposed for our research (e.g., patient privacy), an External Advisory Committee to be configured after award, and very importantly, a Users' Group constituted from potential end users in the community. The Admin Team will be responsible for developing and maintaining a dissemination strategy for the open source tools and procedures emerging from our work. Significant effort will be devoted to assuring compliance with all financial, regulatory and reporting requirements. This team will be fully engaged in the DB2K Consortium activities, including participation in its advisory bodies, dedicated meetings and other activities still to be defined.

Public Health Relevance

Sound management is essential to the successful outcome of a large project such as this and necessary to justify return on federal investment. This group is fully commited to this end, a commitment justified by our previous experience with a similarly scaled project which has been widely adopted at the international level.

Agency
National Institute of Health (NIH)
Institute
National Human Genome Research Institute (NHGRI)
Type
Specialized Center--Cooperative Agreements (U54)
Project #
5U54HG007963-03
Application #
9060981
Study Section
Special Emphasis Panel (ZRG1)
Project Start
Project End
Budget Start
2016-05-01
Budget End
2017-04-30
Support Year
3
Fiscal Year
2016
Total Cost
Indirect Cost
Name
Harvard Medical School
Department
Type
DUNS #
047006379
City
Boston
State
MA
Country
United States
Zip Code
Hejblum, Boris P; Cui, Jing; Lahey, Lauren J et al. (2018) Association Between Anti-Citrullinated Fibrinogen Antibodies and Coronary Artery Disease in Rheumatoid Arthritis. Arthritis Care Res (Hoboken) 70:1113-1117
Can, Anil; Castro, Victor M; Dligach, Dmitriy et al. (2018) Elevated International Normalized Ratio Is Associated With Ruptured Aneurysms. Stroke 49:2046-2052
Yu, Sheng; Ma, Yumeng; Gronsbell, Jessica et al. (2018) Enabling phenotypic big data with PheNorm. J Am Med Inform Assoc 25:54-60
Can, Anil; Rudy, Robert F; Castro, Victor M et al. (2018) Low Serum Calcium and Magnesium Levels and Rupture of Intracranial Aneurysms. Stroke 49:1747-1750
Wilson, Ander; Zigler, Corwin M; Patel, Chirag J et al. (2018) Model-averaged confounder adjustment for estimating multivariate exposure effects with linear regression. Biometrics 74:1034-1044
Gutiérrez-Sacristán, Alba; Guedj, Romain; Korodi, Gabor et al. (2018) Rcupcake: an R package for querying and analyzing biomedical data through the BD2K PIC-SURE RESTful API. Bioinformatics 34:1431-1432
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
Neykov, Matey; Hejblum, Boris P; Sinnott, Jennifer A (2018) Kernel machine score test for pathway analysis in the presence of semi-competing risks. Stat Methods Med Res 27:1099-1114
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
Can, Anil; Castro, Victor M; Dligach, Dmitriy et al. (2018) Lipid-Lowering Agents and High HDL (High-Density Lipoprotein) Are Inversely Associated With Intracranial Aneurysm Rupture. Stroke 49:1148-1154

Showing the most recent 10 out of 60 publications