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Center for Large Data Research & Data Sharing in Rehabilitation

Rehabilitation Research Cross-Dataset Variable Catalog

Browse or search for detailed variable level rehabilitation relevant information across 6 major datasets. The catalog provides: variable names, labels, survey questions, response categories and other related variables that can be exported into an excel spreadsheet for your use.

Note: this tool is designed to provide an overview of rehabilitation related information available across multiple datasets - always use the dataset's codebook/dictionary to guide actual analysis.

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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.

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