The goal of the Data Management Core is to provide an integrated data management and statistical consultation platform for the Cores and Projects in this ADRC and to serve as a provider and an end user for the NACC. The data management team receives, stores, catalogues, tracks and integrates all data generated by the Cores and, when appropriate. Projects, in this ADRC and provides expert advice for the statistical analysis of the existing data and for the design of new studies generated from this ADRC. The data management team also maintains a smooth channel of data submission and data checking for the NACC. The data handling goal will be accomplished by using the specifically designed and well established data warehouse system within the Department of Psychiatry. This system provides access to the contributing projects within the ADRC and the related projects within the Department to integrated data acquisition, storage and query capacity. Because the data warehouse is implemented across multiple projects department-wide, it provides for data access not only to data derived by the specific projects and cores within the ADRC but also to data being derived, and previously acquired legacy data, by many related projects within the Department of Psychiatry network. Most routine data management procedures, such as data entry, logical check and data summary report can be performed automatically with this system. Another mission of the Data Management Core is to provide statistical support to the other Cores and the Projects. The statistical analysis of data generating from the Cores and Projects and the experimental design of new pilot projects in this ADRC are supervised by the Core PI, Dr. Xiaodong Luo and the statistician. Dr. James Schmeidler, who have participated in the planning of the studies and will provide ongoing support throughout the execution of the projects.

Public Health Relevance

The Data Management Core helps smooth and enhance the overall effort of this ADRC in colleting and analyzing data. The Core will work closely with the other Cores and Projects in this ADRC in order to better understand the data.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Specialized Center (P50)
Project #
5P50AG005138-29
Application #
8456125
Study Section
Special Emphasis Panel (ZAG1-ZIJ-4)
Project Start
Project End
Budget Start
2013-04-01
Budget End
2014-03-31
Support Year
29
Fiscal Year
2013
Total Cost
$133,211
Indirect Cost
$28,414
Name
Icahn School of Medicine at Mount Sinai
Department
Type
DUNS #
078861598
City
New York
State
NY
Country
United States
Zip Code
10029
Hauberg, Mads E; Fullard, John F; Zhu, Lingxue et al. (2018) Differential activity of transcribed enhancers in the prefrontal cortex of 537 cases with schizophrenia and controls. Mol Psychiatry :
Giambartolomei, Claudia; Zhenli Liu, Jimmy; Zhang, Wen et al. (2018) A Bayesian framework for multiple trait colocalization from summary association statistics. Bioinformatics 34:2538-2545
Agogo, George O; Ramsey, Christine M; Gnjidic, Danijela et al. (2018) Longitudinal associations between different dementia diagnoses and medication use jointly accounting for dropout. Int Psychogeriatr 30:1477-1487
Kaur, Antarpreet; Edland, Steven D; Peavy, Guerry M (2018) The MoCA-Memory Index Score: An Efficient Alternative to Paragraph Recall for the Detection of Amnestic Mild Cognitive Impairment. Alzheimer Dis Assoc Disord 32:120-124
Agrawal, A; Chou, Y-L; Carey, C E et al. (2018) Genome-wide association study identifies a novel locus for cannabis dependence. Mol Psychiatry 23:1293-1302
Brenowitz, Willa D; Han, Fang; Kukull, Walter A et al. (2018) Treated hypothyroidism is associated with cerebrovascular disease but not Alzheimer's disease pathology in older adults. Neurobiol Aging 62:64-71
Dobbyn, Amanda; Huckins, Laura M; Boocock, James et al. (2018) Landscape of Conditional eQTL in Dorsolateral Prefrontal Cortex and Co-localization with Schizophrenia GWAS. Am J Hum Genet 102:1169-1184
Cruchaga, Carlos; Del-Aguila, Jorge L; Saef, Benjamin et al. (2018) Polygenic risk score of sporadic late-onset Alzheimer's disease reveals a shared architecture with the familial and early-onset forms. Alzheimers Dement 14:205-214
Alosco, Michael L; Sugarman, Michael A; Besser, Lilah M et al. (2018) A Clinicopathological Investigation of White Matter Hyperintensities and Alzheimer's Disease Neuropathology. J Alzheimers Dis 63:1347-1360
Kinnunen, Kirsi M; Cash, David M; Poole, Teresa et al. (2018) Presymptomatic atrophy in autosomal dominant Alzheimer's disease: A serial magnetic resonance imaging study. Alzheimers Dement 14:43-53

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