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 Disease and other dementias. Research projects falter for many reasons. One reason is the failure to focus sufficient attention on the often times tedious process of monitoring the acquisition and handling 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 developed a mechanism to collect, transfer and process data from diverse sites in such a way as to maximize its reliability and timely processing while minimizing the problems introduced by data missing as a result of inappropriate or careless collection or processing. We have also taken cre to insure its long-term safety. Considerable effort has been allocated to the goal of processing of complete and reliable information. We have developed a close interaction with other cores and projects of the OADC by maintaining daily contact and participating in their activities. We have provided for assisting in the internal monitoring of data reliability and standardization studies within the Clinical and Neuropathology Cores, and the planning of analytic strategies. We have also provided biostatistical support to investigators for data analysis projects, peer-reviewed publications and applications for extramural funding. Importantly, we have taken car to allow for the expansion of our support to new investigators and projects in an orderly and coherent manner.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Center Core Grants (P30)
Project #
3P30AG008017-11S1
Application #
6332433
Study Section
Project Start
2000-07-15
Project End
2001-03-31
Budget Start
Budget End
Support Year
11
Fiscal Year
2000
Total Cost
Indirect Cost
Name
Oregon Health and Science University
Department
Type
DUNS #
009584210
City
Portland
State
OR
Country
United States
Zip Code
97239
Mejia Maza, Alan; Carmen-Orozco, Rogger P; Carter, Emma S et al. (2018) Axonal swellings and spheroids: a new insight into the pathology of neurocysticercosis. Brain Pathol :
Boespflug, Erin L; Schwartz, Daniel L; Lahna, David et al. (2018) MR Imaging-based Multimodal Autoidentification of Perivascular Spaces (mMAPS): Automated Morphologic Segmentation of Enlarged Perivascular Spaces at Clinical Field Strength. Radiology 286:632-642
Kaye, Jeffrey; Reynolds, Christina; Bowman, Molly et al. (2018) Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data. J Vis Exp :
Hanfelt, John J; Peng, Limin; Goldstein, Felicia C et al. (2018) Latent classes of mild cognitive impairment are associated with clinical outcomes and neuropathology: Analysis of data from the National Alzheimer's Coordinating Center. Neurobiol Dis 117:62-71
Zhou, Zilu; Wang, Weixin; Wang, Li-San et al. (2018) Integrative DNA copy number detection and genotyping from sequencing and array-based platforms. Bioinformatics 34:2349-2355
Burke, Shanna L; Hu, Tianyan; Fava, Nicole M et al. (2018) Sex differences in the development of mild cognitive impairment and probable Alzheimer's disease as predicted by hippocampal volume or white matter hyperintensities. J Women Aging :1-25
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
Teipel, Stefan; König, Alexandra; Hoey, Jesse et al. (2018) Use of nonintrusive sensor-based information and communication technology for real-world evidence for clinical trials in dementia. Alzheimers Dement 14:1216-1231
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
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

Showing the most recent 10 out of 482 publications