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Tools for Finding Disability and Rehabilitation Related Data
Tuesday, May 9, 2017
2:00 P.M. to 3:00 P.M. EST
Cornell University Institute on Employment and Disability
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:
- What datasets related to disability and rehabilitation are out there?
- What topics are covered in each dataset?
- What are the dataset strengths and limitations?
- How do I access the datasets?
- How to link to the University of Michigan Archive of Data on Disability to Enable Policy and Research (ADDEP)
The Rehabilitation Dataset Directory is a browse-able/searchable database providing an overview, description, sample and other pertinent information for nearly 60 datasets. The Rehabilitation Research Cross-dataset Variable Catalog allows the exploration of variables organized by topics (including disability and health conditions, healthcare, health behaviors and more) simultaneously across 6 major datasets.
The tools were developed by the Yang-Tan Institute on Employment and Disability (YTI) at Cornell University in collaboration with the University of Texas Medical Branch (UTMB). This work was funded by a sub-contract to YTI through funding from The National Institutes of Health - National Center for Medical Rehabilitation Research (No. R24 HD065702) a grant funded to the UTMB Center for Rehabilitation Research using Large Datasets.
Registration:Deadline to Register - May 8, 2017
To register for this free webinar, please go to: http://www.edi.cornell.edu/register/index.cfm?event=6276
Contact For More Information:
Cornell University Employment and Disability Institute
Phone: 607-255-7727 (v/tty)
Web: Cornell University Employment and Disability Institute