The Data Management, Biostatistics and Bioinformatics Gore (Core D) is an integral part of the University of Pennsylvania School of Medicine (Penn) Morris K. Udall Parkinson's Disease Research Center of Excellence (Udall Center). The goal of Core D in this competing renewal application for continued funding of the Penn Udall Center by the National Institute of Neurological Disorders and Stroke (NINDS) is to support the data management, statistical, bioinformatics, database, and related computational needs of Penn Udall Center investigators. The services provided by Core D include: (a) support for data form/questionnaire design and development, database development and management, data entry, database audit trail, database security, database backup, and stringent data quality control procedures, (b) computing and programming support for all Penn Udall Center activities, including implementation and integration of hardware and software upgrades necessary for data management and research, routine and archival off-site backup of computing systems central to the Center, (c) biostatistical support for all study aspects from inception to publication, including development of study design, performing sample size and power calculations, randomization schemes, and performing analyses of the Center data, (d) bioinformatics support for large complex data set, (e) maintaining and curating the Penn Udall website, (f) promoting an effective working relationship including data sharing between the Penn Udall Center and the PD data organizing center designated by NIH. Thus, Core D plays an important and significant role that is critical to the progress of research and the conduct of studies in the Penn Udall Center, and it will foster collaborative interactions between the Penn Udall Center and other Udall Centers.

Public Health Relevance

Working with other cores. Core D will help to improve research and education on PD without and with dementia (PDD) and dementia with Lewy bodies and to support development of better diagnostics and preventions/treatments of PD.

Agency
National Institute of Health (NIH)
Institute
National Institute of Neurological Disorders and Stroke (NINDS)
Type
Specialized Center (P50)
Project #
5P50NS053488-08
Application #
8705047
Study Section
Special Emphasis Panel (ZNS1-SRB-J)
Project Start
Project End
Budget Start
2014-07-01
Budget End
2015-06-30
Support Year
8
Fiscal Year
2014
Total Cost
$136,133
Indirect Cost
$51,055
Name
University of Pennsylvania
Department
Type
DUNS #
042250712
City
Philadelphia
State
PA
Country
United States
Zip Code
19104
Smith, Kara M; Ash, Sharon; Xie, Sharon X et al. (2018) Evaluation of Linguistic Markers of Word-Finding Difficulty and Cognition in Parkinson's Disease. J Speech Lang Hear Res 61:1691-1699
Bezdicek, Ondrej; ?ervenková, Markéta; Moore, Tyler M et al. (2018) Determining a Short Form Montreal Cognitive Assessment (s-MoCA) Czech Version: Validity in Mild Cognitive Impairment Parkinson's Disease and Cross-Cultural Comparison. Assessment :1073191118778896
Tao, Ye; Peters, Matthew E; Drye, Lea T et al. (2018) Sex Differences in the Neuropsychiatric Symptoms of Patients With Alzheimer's Disease. Am J Alzheimers Dis Other Demen 33:450-457
Hoogland, Jeroen; van Wanrooij, Lennard L; Boel, Judith A et al. (2018) Detecting Mild Cognitive Deficits in Parkinson's Disease: Comparison of Neuropsychological Tests. Mov Disord 33:1750-1759
Kamps, Sanne; van den Heuvel, Odile A; van der Werf, Ysbrand D et al. (2018) Smaller subcortical volume in Parkinson patients with rapid eye movement sleep behavior disorder. Brain Imaging Behav :
Akhtar, Rizwan S; Licata, Joseph P; Luk, Kelvin C et al. (2018) Measurements of auto-antibodies to ?-synuclein in the serum and cerebral spinal fluids of patients with Parkinson's disease. J Neurochem 145:489-503
Lee, Edward B (2018) Integrated neurodegenerative disease autopsy diagnosis. Acta Neuropathol 135:643-646
Wenning, Gregor; Trojanowski, John Q; Kaufmann, Horacio et al. (2018) Is multiple system atrophy an infectious disease? Ann Neurol 83:10-12
Rennert, Lior; Xie, Sharon X (2018) Cox regression model with doubly truncated data. Biometrics 74:725-733
Peng, Chao; Gathagan, Ronald J; Lee, Virginia M-Y (2018) Distinct ?-Synuclein strains and implications for heterogeneity among ?-Synucleinopathies. Neurobiol Dis 109:209-218

Showing the most recent 10 out of 339 publications