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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 CLDR is a collaboration between the University of Texas Medical Branch (UTMB) and Cornell University's Yang Tan Institute (EDI) and is funded through a grant from the National Institute of Health (NIH grant # R24HD065702-01). The goal of the Center is to build rehabilitation research capacity by increasing the quantity and quality of rehabilitation outcomes research using large administrative and research datasets. For more information regarding the CLDR including available pilot project funding and its visiting scholar program please visit:

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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Funded by the U.S. Department of Education
National Institute on Disability and Rehabilitation Research