Secondary datasets are valuable resources for testing hypotheses and generating meaningful statistics about issues related to disability and rehabilitation. This presentation will introduce two web-based resources designed to help researchers learn about:
Rehabilitation Dataset Directory is a browse-able/searchable database providing an overview, description, sample and other pertinent information for over 50 datasets.
ADDEP is a data repository that acquires, preserves, and disseminates research data on disability and rehabilitation providing researchers an interactive space to explore and analyze secondary data.
Secondary datasets such as national surveys and administrative data are valuable resources for testing hypotheses and generating national-level statistics about disability and rehabilitation related-issues. Unfortunately, it can be difficult to identify what datasets are available and what data are most appropriate for addressing a specific research interest.
This presentation will introduce two innovative web-based resources designed to help researchers learn:
Have a question about rehabilitation datasets? Contact our researchers for technical assistance, log in or register.
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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