Core C: Biomedical Informatics Core

$222,447P50FY2005CANIH

University Of Pennsylvania, Philadelphia PA

Investigators

Linked publications & trials

Paper 35671343 Paper 27628308 Paper 27341184 Paper 26802282 Paper 26294040 Paper 25705872 Paper 23941313 Paper 23588313 Paper 22911690 Paper 22889039 Paper 22240251 Paper 21969553 Paper 21961032 Paper 21910550 Paper 21667366 Paper 21631623 Paper 21212060 Paper 20807673 Paper 20433908 Paper 20336063 Paper 20212321 Paper 20147892 Paper 20124230 Paper 20077505 Paper 20074870 Paper 19968405 Paper 19755656 Paper 19733449 Paper 19633277 Paper 19630701 Paper 19625986 Paper 19602553 Paper 19563516 Paper 19558569 Paper 19528658 Paper 19494806 Paper 19483179 Paper 19476198 Paper 19467327 Paper 19443136 Paper 19426293 Paper 19381300 Paper 19246447 Paper 19246445 Paper 19242386 Paper 19184656 Paper 19169923 Paper 19138939 Paper 19135319 Paper 19084357 Paper 19065145 Paper 19060962 Paper 19013943 Paper 19000709 Paper 18991966 Paper 18931833 Paper 18842256 Paper 18835334 Paper 18823155 Paper 18790807 Paper 18775605 Paper 18768460 Paper 18768457 Paper 18690118 Paper 18690117 Paper 18686181 Paper 18677617 Paper 18629735 Paper 18604520 Paper 18599130 Paper 18584467 Paper 18541389 Paper 18519826 Paper 18499348 Paper 18407584 Paper 18388880 Paper 18388868 Paper 18347612 Paper 18328642 Paper 18323859 Paper 18281252 Paper 18188754 Paper 18165968 Paper 18094242 Paper 18089863 Paper 18067034 Paper 18067032 Paper 18058343 Paper 18021915 Paper 17978999 Paper 17937574 Paper 17915073 Paper 17690709 Paper 17624682 Paper 17616446 Paper 17600259 Paper 17592483 Paper 17579497 Paper 17452234 Paper 17333408

Abstract

The TTURC Biomedical Informatics Core (BMIC) will: (1) design and maintain a distributed data management system to facilitate hypothesis testing within projects, (2) create and maintain a data repository of genotypic and phenotypic data to facilitate cross-project analyses and data sharing within and outside of the TTURC, (3) provide information and resource support, including training in use of web-based research tools, and (4) provide biostatistical support to TTURC investigators: During the current project period, the Penn TTURC Data Management Core has effectively demonstrated the ability to manage large-scale smoking cessation projects incorporating rigorous quality assurance of collected data and procedures that ensure integrity, security and privacy of subject data. The proposed BMIC enhances the current data management infrastructure by incorporating the data repository within a distributed computing environment that will facilitate data integration, cross-project data analysis and collaboration. This centralized strategy will increase efficiency and reduce the cost of undertaking the proposed research projects. In addition, the inclusion of biostatistical support will optimize research design and data analysis in a coordinated manner.

View original record on NIH RePORTER →