The long term goal of the Data Management Core is to develop and maintain a mechanism to support the computer, data processing, experimental design and data analysis needs for investigators engaged in the long-term study of Alzheimer's Disease. Research projects fail to thrive for many reasons. One such reason is the failure to focus sufficient attention on the often times tedious process of monitoring the acquisition and processing of information. Valid conclusions are virtually impossible when based upon unreliable or faulty data. Considerable care is necessary in attending to the details of complete data collection, data movement, verification, storage and processing as well as details of experimental design and analysis. We have detailed a mechanism to collect, transfer and process data obtained from diverse sites in such a way s to maximize its reliability and timely processing while minimizing the problems introduced by data missing as a result of an inappropriate or careless processing or collection. We have also taken care to insure its long-term safety. Considerable effort has been allocated toward the goal of processing of complete and reliable information. We have provided for assisting in the intemal monitoring of data reliability and standardization studies, within the clinical core, and the planning of analytic strategies. Technical support in processing of laboratory data and image analysis has been provided for those investigators with special needs. We have taken care to allow for the expansion of our support to new projects and investigators in an orderly and coherent manner. Finally, to enhance the communication among the investigators we have established several mechanisms for the transfer of information to each of the remote sites.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Center Core Grants (P30)
Project #
5P30AG008017-02
Application #
3802754
Study Section
Project Start
Project End
Budget Start
Budget End
Support Year
2
Fiscal Year
1991
Total Cost
Indirect Cost
Name
Oregon Health and Science University
Department
Type
DUNS #
009584210
City
Portland
State
OR
Country
United States
Zip Code
97239
Burke, Shanna L; Maramaldi, Peter; Cadet, Tamara et al. (2018) Decreasing hazards of Alzheimer's disease with the use of antidepressants: mitigating the risk of depression and apolipoprotein E. Int J Geriatr Psychiatry 33:200-211
Simon, Matthew J; Wang, Marie X; Murchison, Charles F et al. (2018) Transcriptional network analysis of human astrocytic endfoot genes reveals region-specific associations with dementia status and tau pathology. Sci Rep 8:12389
Boespflug, Erin L; Simon, Matthew J; Leonard, Emmalyn et al. (2018) Targeted Assessment of Enlargement of the Perivascular Space in Alzheimer's Disease and Vascular Dementia Subtypes Implicates Astroglial Involvement Specific to Alzheimer's Disease. J Alzheimers Dis 66:1587-1597
Croff, Raina L; Witter Iv, Phelps; Walker, Miya L et al. (2018) Things Are Changing so Fast: Integrative Technology for Preserving Cognitive Health and Community History. Gerontologist :
Qian, Winnie; Fischer, Corinne E; Schweizer, Tom A et al. (2018) Association Between Psychosis Phenotype and APOE Genotype on the Clinical Profiles of Alzheimer's Disease. Curr Alzheimer Res 15:187-194
Proulx, Jeffrey; Croff, Raina; Oken, Barry et al. (2018) Considerations for Research and Development of Culturally Relevant Mindfulness Interventions in American Minority Communities. Mindfulness (N Y) 9:361-370
Gallagher, Damien; Kiss, Alex; Lanctot, Krista et al. (2018) Depression and Risk of Alzheimer Dementia: A Longitudinal Analysis to Determine Predictors of Increased Risk among Older Adults with Depression. Am J Geriatr Psychiatry 26:819-827
Promjunyakul, Nutta-On; Dodge, Hiroko H; Lahna, David et al. (2018) Baseline NAWM structural integrity and CBF predict periventricular WMH expansion over time. Neurology 90:e2119-e2126
Haaksma, Miriam L; Calderón-Larrañaga, Amaia; Olde Rikkert, Marcel G M et al. (2018) Cognitive and functional progression in Alzheimer disease: A prediction model of latent classes. Int J Geriatr Psychiatry 33:1057-1064
Silbert, Lisa C; Lahna, David; Promjunyakul, Nutta-On et al. (2018) Risk Factors Associated with Cortical Thickness and White Matter Hyperintensities in Dementia Free Okinawan Elderly. J Alzheimers Dis 63:365-372

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