Education & Training

CLDR education and training activities cover three fundamental aspects of using large data for rehabilitation research: 1) Identifying and accessing large data sources; 2) Managing and analyzing large datasets; and, 3) Archiving and sharing research data with other investigators.

Finding and Analyzing Disability and Rehabilitation Data:
Tools for Locating, Accessing, and Analyzing Survey and Administrative Data

CLDR WebinarA joint Cornell University and ADDEP Webinar presented by William Erickson and Sarah von Schrader, at the K. Lisa Yang and Hock E. Tan Institute on Employment and Disability, Cornell University; Alison Stroud and Amy Pienta at the Archive of Data on Disability to Enable Policy and Research (ADDEP), Inter-university Consortium for Political and Social Research (ICPSR).

The IMPACT Act and Value -Based Health Care

photo of Dr. Dejong

  •  Watch video
  • UTMB Health Policy Dialogue
  • February 23, 2017
  • Gerben Dejong , PhD, FACRM
Modernizing Survey Research Measures of Late-Life Disability

photo of Dr. Jette

  •  Watch video
  • Lefeber Winter Series on Aging
  • January 31, 2017
  • Alan Jette, Pt, MPH, PhD
ICPSR Webinars: Intro to ADDEP & Archiving Data

screen shot of ADDEP website

The Center for Large Data Research and Data Sharing in Rehabilitation involves a consortium of investigators from the University of Texas Medical Branch, Cornell University, and the University of Michigan. The CLDR is funded by NIH - National Institute of Child Health and Human Development, through the National Center for Medical Rehabilitation Research, the National Institute for Neurological Disorders and Stroke, and the National Institute of Biomedical Imaging and Bioengineering. (P2CHD065702).