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 #
5P50AG005138-30
Application #
8662601
Study Section
Special Emphasis Panel (ZAG1-ZIJ-4)
Project Start
Project End
Budget Start
2014-04-01
Budget End
2015-03-31
Support Year
30
Fiscal Year
2014
Total Cost
$144,682
Indirect Cost
$28,733
Name
Icahn School of Medicine at Mount Sinai
Department
Type
DUNS #
078861598
City
New York
State
NY
Country
United States
Zip Code
10029
Crum, Jana; Wilson, Jeffrey; Sabbagh, Marwan (2018) Does taking statins affect the pathological burden in autopsy-confirmed Alzheimer's dementia? Alzheimers Res Ther 10:104
Wang, Jen-Chyong; Alinaghi, Somayeh; Tafakhori, Abbas et al. (2018) Genetic screening in two Iranian families with early-onset Alzheimer's disease identified a novel PSEN1 mutation. Neurobiol Aging 62:244.e15-244.e17
Burke, Shanna L; Cadet, Tamara; Maddux, Marlaina (2018) Chronic Health Illnesses as Predictors of Mild Cognitive Impairment Among African American Older Adults. J Natl Med Assoc 110:314-325
Wang, Qi; Guo, Lei; Thompson, Paul M et al. (2018) The Added Value of Diffusion-Weighted MRI-Derived Structural Connectome in Evaluating Mild Cognitive Impairment: A Multi-Cohort Validation1. J Alzheimers Dis 64:149-169
Kamara, Dennis M; Gangishetti, Umesh; Gearing, Marla et al. (2018) Cerebral Amyloid Angiopathy: Similarity in African-Americans and Caucasians with Alzheimer's Disease. J Alzheimers Dis 62:1815-1826
Girdhar, Kiran; Hoffman, Gabriel E; Jiang, Yan et al. (2018) Cell-specific histone modification maps in the human frontal lobe link schizophrenia risk to the neuronal epigenome. Nat Neurosci 21:1126-1136
Huang, Qian; Voloudakis, Georgios; Ren, Yimin et al. (2018) Presenilin1/?-secretase protects neurons from glucose deprivation-induced death by regulating miR-212 and PEA15. FASEB J 32:243-253
Wang, Tingyan; Qiu, Robin G; Yu, Ming (2018) Predictive Modeling of the Progression of Alzheimer's Disease with Recurrent Neural Networks. Sci Rep 8:9161
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
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 :

Showing the most recent 10 out of 555 publications