This application seeks funding for the Data Management and Coordinating Center (DMCC) for the Rare Diseases Clinical Research Network (RDCRN). The applicant, Dr. Krischer, has served as the Principal Investigator for the DMCC for the last 10 years and seeks to renew the cooperative agreement for the DMCC which supports the Rare Diseases Clinical Research Network (RDCRN). The DMCC propose to extend the systems, processes, and procedures developed successfully over the last two grant cycles to accommodate the more than 24,000 subjects who have been enrolled on 128 studies (86 of which are currently accruing), contingent upon the successful re-competition of their associated clinical research consortia, addition of new studies reflecting the growth of the network, accommodation of federated databases, work with consortia that have pre-existing infrastructure (registries, patient databases, etc.) and registries, provide a user friendly websit for web-based recruitment which receives over 7 million hits per year at present and a 14,000+ patient contact registry enhanced for subjects seeking information on rare diseases and enrollment on clinical trials. We will continue development of new technologies to support scalability and generalizability and tools for cross- disease data mining. Our international clinicl information network is secure providing coordinated data management services for collection, storage and analysis of diverse data types from multiple diseases and geographically disparate locations and a portal for the general public and larger community of clinical investigators.

Public Health Relevance

The proposed DMCC will facilitate clinical research in rare diseases by providing a test-bed for distributed clinical data management that incorporates novel approaches and technologies for data management, data mining, and data sharing across rare diseases, data types, and platforms; and access to information related to rare diseases for basic and clinical researchers, academic and practicing physicians, patients, and the lay public.

Agency
National Institute of Health (NIH)
Institute
National Center for Advancing Translational Sciences (NCATS)
Type
Research Project--Cooperative Agreements (U01)
Project #
5U01TR001263-12
Application #
8921313
Study Section
Special Emphasis Panel (ZTR1-CI-3 (01))
Program Officer
Eckstein, David J
Project Start
2009-09-01
Project End
2019-06-30
Budget Start
2015-07-01
Budget End
2016-06-30
Support Year
12
Fiscal Year
2015
Total Cost
$4,892,565
Indirect Cost
$1,610,553
Name
University of South Florida
Department
Pediatrics
Type
Schools of Medicine
DUNS #
069687242
City
Tampa
State
FL
Country
United States
Zip Code
33612
Waisbren, Susan E; Cuthbertson, David; Burgard, Peter et al. (2018) Biochemical markers and neuropsychological functioning in distal urea cycle disorders. J Inherit Metab Dis 41:657-667
Springer, Jason Michael; Monach, Paul; Cuthbertson, David et al. (2018) Serum S100 Proteins as a Marker of Disease Activity in Large Vessel Vasculitis. J Clin Rheumatol 24:393-395
Urbanowicz, Ryan J; Olson, Randal S; Schmitt, Peter et al. (2018) Benchmarking relief-based feature selection methods for bioinformatics data mining. J Biomed Inform 85:168-188
Aceves, Seema S; King, Eileen; Collins, Margaret H et al. (2018) Alignment of parent- and child-reported outcomes and histology in eosinophilic esophagitis across multiple CEGIR sites. J Allergy Clin Immunol 142:130-138.e1
Miggelbrink, Alexandra M; Logan, Brent R; Buckley, Rebecca H et al. (2018) B-cell differentiation and IL-21 response in IL2RG/JAK3 SCID patients after hematopoietic stem cell transplantation. Blood 131:2967-2977
Barra, Lillian; Borchin, Renée L; Burroughs, Cristina et al. (2018) Impact of vasculitis on employment and income. Clin Exp Rheumatol 36 Suppl 111:58-64
Urbanowicz, Ryan J; Meeker, Melissa; La Cava, William et al. (2018) Relief-based feature selection: Introduction and review. J Biomed Inform 85:189-203
Panosyan, Francis B; Kirk, Callyn A; Marking, Devon et al. (2018) Carpal tunnel syndrome in inherited neuropathies: A retrospective survey. Muscle Nerve 57:388-394
Haddad, Elie; Logan, Brent R; Griffith, Linda M et al. (2018) SCID genotype and 6-month posttransplant CD4 count predict survival and immune recovery. Blood 132:1737-1749
Shoda, Tetsuo; Wen, Ting; Aceves, Seema S et al. (2018) Eosinophilic oesophagitis endotype classification by molecular, clinical, and histopathological analyses: a cross-sectional study. Lancet Gastroenterol Hepatol 3:477-488

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