The Data Management and Biostatistics Core (Data Core) performs data management and analysis for all six fellow cores (Administrative, Clinical, Neuropathology, Neuroimaging, Psychosocial, Education), and for individual researchers affiliated with the ADC. The Data Core maintains all data collected by the NYU ADC in a centralized database, transfers data to the National Alzheimer's Coordinating Center (NACC) to create a common database for all ADC's across the country, and offers consultation and hands-on help in experimental design and statistical analysis to all collaborating investigators in the NYU ADC. The rapid increase in the size, the type and the complexity of aging and dementia related data demands that the Data Core expand its functions in order to (1) facilitate information exchange via the Internet, and (2) introduce, apply and develop novel statistical methods for comprehensive data analysis. Data Core Specific Aims are: 1. Continue to provide our traditional data management and statistical consultation services which include managing and updating the centralized Center database, offering consultation on experimental design and statistical analysis, and maintaining close collaboration with the NACC in the implementation and utilization of the uniform data set (UDS) for all ADC's. 2. Further develop and maintain a secure Web-based database, conforming to the institutional standards set by NYU, for multi-user on-line information exchange within the Center and between Centers, NACC and other collaborators. We are upgrading our Visual FoxPro database server to a modern web-based health care management software (clinical database plus clinical management) ? Velos, sponsored by NYU. 3. Actively initiate, develop, participate in and direct statistical analyses within and between our fellow cores/centers. Data Core analysts (including student trainees) are assigned to fellow cores to increase mutual interactions and understanding, and foster close collaborations in the design of ADC related studies and the analysis of ADC data. Data Core leader conducts biweekly meetings with Core analysts and ADC researchers interested in collaborative analysis. We also actively participate in research paper writing. 4. Educate Center affiliated researchers on database utilization and related statistical analysis methods. This has been and will continuously be achieved through a comprehensive internet site with detailed education topics and on-line help as well as monthly statistics seminar. 5. Actively participate in as well as lead grant applications to further increase Data Core funding levels.

Public Health Relevance

Data Core is critical in the function of the entire ADC. We maintain the entire ADC database and ADC computer system. We offer statistical consultation, education and collaboration for ADC affiliated research projects. We provide timely feedback to each core in terms of data/sample collection to ensure quality, quantity and diversity of ADC data/samples. We are the link between our ADC and NACC on data exchange.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Center Core Grants (P30)
Project #
5P30AG008051-24
Application #
8469381
Study Section
Special Emphasis Panel (ZAG1-ZIJ-4)
Project Start
Project End
Budget Start
2013-05-01
Budget End
2014-04-30
Support Year
24
Fiscal Year
2013
Total Cost
$300,496
Indirect Cost
$104,869
Name
New York University
Department
Type
DUNS #
121911077
City
New York
State
NY
Country
United States
Zip Code
10016
John, Samantha E; Gurnani, Ashita S; Bussell, Cara et al. (2016) The effectiveness and unique contribution of neuropsychological tests and the δ latent phenotype in the differential diagnosis of dementia in the uniform data set. Neuropsychology 30:946-960
Bonham, Luke W; Geier, Ethan G; Fan, Chun C et al. (2016) Age-dependent effects of APOE ε4 in preclinical Alzheimer's disease. Ann Clin Transl Neurol 3:668-77
Brown, Ryan; Lakshmanan, Karthik; Madelin, Guillaume et al. (2016) A nested phosphorus and proton coil array for brain magnetic resonance imaging and spectroscopy. Neuroimage 124:602-11
Ting, Simon Kang Seng; Hao, Ying; Chia, Pei Shi et al. (2016) Clinicopathological correlation of psychosis and brain vascular changes in Alzheimer's disease. Sci Rep 6:20858
Fischer, Corinne E; Qian, Winnie; Schweizer, Tom A et al. (2016) Lewy Bodies, Vascular Risk Factors, and Subcortical Arteriosclerotic Leukoencephalopathy, but not Alzheimer Pathology, are Associated with Development of Psychosis in Alzheimer's Disease. J Alzheimers Dis 50:283-95
Karch, Celeste M; Ezerskiy, Lubov A; Bertelsen, Sarah et al. (2016) Alzheimer's Disease Risk Polymorphisms Regulate Gene Expression in the ZCWPW1 and the CELF1 Loci. PLoS One 11:e0148717
McCutcheon, Sarah T; Han, Dingfen; Troncoso, Juan et al. (2016) Clinicopathological correlates of depression in early Alzheimer's disease in the NACC. Int J Geriatr Psychiatry 31:1301-1311
Tosto, Giuseppe; Monsell, Sarah E; Hawes, Stephen E et al. (2016) Progression of Extrapyramidal Signs in Alzheimer's Disease: Clinical and Neuropathological Correlates. J Alzheimers Dis 49:1085-93
Wisniewski, Thomas; Drummond, Eleanor (2016) Developing therapeutic vaccines against Alzheimer's disease. Expert Rev Vaccines 15:401-15
Chapman, Kimberly R; Bing-Canar, Hanaan; Alosco, Michael L et al. (2016) Mini Mental State Examination and Logical Memory scores for entry into Alzheimer's disease trials. Alzheimers Res Ther 8:9

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