The UCLA ADRC Data Management and Statistics Core (DMSC) has developed a sophisticated state-of-the-art data management infrastructure for center-wide data processing, information storage, data retrieval, and errorless data sharing. The DMSC has a data structure completely compatible with the National Alzheimer Coordinating Center (NACC) and has met all standards of data management in audits of the last grant cycle. Error checking programs are in place to insure continuing data quality. Staff members with programming skills are available to respond to the evolution of the uniform data set (UDS) and other data export requirements. The DMSC database includes all clinical, genetic, biomarker, and NACC-mandated neuropathology data as well as an inventory of available imaging. DMSC members participate in rater-training activities of Clinical Core to insure quality data capture. In addition to expert data management, the DMSC provides consultation on methodologic, research design, and data analysis issues related to the Cores and Projects supported by the ADRC. The Core Leader, David Elashoff, PhD, has specialized skills in analysis of large proteomic and genomic data sets - intellectual capital that has an important synergy with the ADRC's theme of the therapeutic imperative and the increasing importance of biomarkers in ADRC activities. Members of the DMSC participate in the Research Review Committee of the Pilot Project program and provide methodologic and design feedback on all submissions to the program. The DMSC has an active program for mentoring of junior faculty and trainees in statistical methods and responsible conduct of research. DMSC faculty participate in the Executive Committee and Clinical Research Committee and collaborates with the Recruitment and Education Core in maintaining and updating the ADRC website. The DMSC represents the essential informatic architecture of the UCLA ADRC.

Public Health Relevance

Quality data management and statistical sophistication in research design and data analysis are critical to the success of any scientific enterprise including the ADRC. The DMSC provides state-of-the-art data management and statistical consultation to insure the productivity of the Cores and Projects of the UCLA ADRC.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Specialized Center (P50)
Project #
5P50AG016570-13
Application #
8440887
Study Section
Special Emphasis Panel (ZAG1-ZIJ-4)
Project Start
Project End
Budget Start
2012-04-01
Budget End
2013-03-31
Support Year
13
Fiscal Year
2012
Total Cost
$175,648
Indirect Cost
$41,866
Name
University of California Los Angeles
Department
Type
DUNS #
092530369
City
Los Angeles
State
CA
Country
United States
Zip Code
90095
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
Brent, Robert J (2018) Estimating the monetary benefits of medicare eligibility for reducing the symptoms of dementia. Appl Econ 50:6327-6340
Deming, Yuetiva; Dumitrescu, Logan; Barnes, Lisa L et al. (2018) Sex-specific genetic predictors of Alzheimer's disease biomarkers. Acta Neuropathol 136:857-872
Tse, Kai-Hei; Cheng, Aifang; Ma, Fulin et al. (2018) DNA damage-associated oligodendrocyte degeneration precedes amyloid pathology and contributes to Alzheimer's disease and dementia. Alzheimers Dement 14:664-679
Petok, Jessica R; Myers, Catherine E; Pa, Judy et al. (2018) Impairment of memory generalization in preclinical autosomal dominant Alzheimer's disease mutation carriers. Neurobiol Aging 65:149-157
Lin, Ming; Gong, Pinghua; Yang, Tao et al. (2018) Big Data Analytical Approaches to the NACC Dataset: Aiding Preclinical Trial Enrichment. Alzheimer Dis Assoc Disord 32:18-27
Kirson, Noam Y; Scott Andrews, J; Desai, Urvi et al. (2018) Patient Characteristics and Outcomes Associated with Receiving an Earlier Versus Later Diagnosis of Probable Alzheimer's Disease. J Alzheimers Dis 61:295-307
Malik, Ravinder; Di, Jing; Nair, Gayatri et al. (2018) Using Molecular Tweezers to Remodel Abnormal Protein Self-Assembly and Inhibit the Toxicity of Amyloidogenic Proteins. Methods Mol Biol 1777:369-386
Ting, Simon Kang Seng; Foo, Heidi; Chia, Pei Shi et al. (2018) Dyslexic Characteristics of Chinese-Speaking Semantic Variant of Primary Progressive Aphasia. J Neuropsychiatry Clin Neurosci 30:31-37
Petyuk, Vladislav A; Chang, Rui; Ramirez-Restrepo, Manuel et al. (2018) The human brainome: network analysis identifies HSPA2 as a novel Alzheimer’s disease target. Brain 141:2721-2739

Showing the most recent 10 out of 727 publications