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Center for Large Data Research & Data Sharing in Rehabilitation

Rehabilitation Dataset Directory: Dataset Profile


Dataset: ()

Basic Information
Dataset full name:
Dataset acronym
Summary
Key Terms
Study Design
Data Type(s)
Sponsoring Agency/Entity
Health conditions/Disability measures
Health condition(s)
Disability Measures
Measures/outcomes of interest
Topics
Sample
Sample Population
Sample Size/Notes
Unit of Observation
Geographic Coverage
Geographic specificity
Data Collection
Data Collection Mode
Years Collected
Data Collection Frequency
Strengths and limitations
Strengths
Limitations
Data details
Primary Website
Data Access
Data Access Requirements
Summary Tables/reports
Dataset components (where applicable)
Selected papers
Technical
Other Papers



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The Rehabilitation Research Cross-dataset Variable Catalog has been developed through the Center for Large Data Research & Data Sharing in Rehabilitation (CLDR). 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's Yang Tan Institute (YTI), 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).

Other CLDR supported resources and collaborative opportunities:

Acknowledgements: This tool was developed through the efforts of William Erickson and Arun Karpur, and web designers Jason Criss and Jeff Trondsen at Cornell University. Many thanks to graduate students Kyoung Jo Oh and Yeong Joon Yoon who developed much of the content used in this tool.

For questions or comments please contact disabilitystatistics@cornell.edu