Webinar “Secondary datasets in disability and health: tools for researchers using United States datasets” now available on line

A recording of the SDHI webinar “Secondary datasets in disability and health: tools for researchers using United States datasets” is now available on line or to download.


Arun Karpur (Research Faculty, School of Industrial & Labor Relations
Employment & Disability Institute, Cornell University, New York


William Erickson, Research Specialist Employment & Disability Institute
Cornell University, New York

National survey and administrative datasets continue to be a rich resource for generating national-level statistics for people with disabilities in the United States. Heterogeneous definitions of identifying individuals with disabilities as well as the
varying sampling framework limit the use of secondary datasets. Additionally, there are no good tools for comparing datasets to facilitate making an informed choice to employ the best alternative data set for use in public health research. This presentation introduces a unique web-based resource developed by the Employment and
Disability Institute, Cornell University, providing researchers access to meta-data on publicly available datasets consisting of information on employment, compensation, and health outcomes for people with disabilities. In addition, to the metadata, the presentation also provides an introduction to online data directories built for providing a deeper
exploration of key data elements of the secondary data sets focusing on variable related to disability characteristics, employment, compensation, and health outcomes.

This work has been funded by a sub-contract to and in partnership with the Cornell University ILR School Employment and Disability Institute through funding from
the The National Institutes of Health – National Center for Medical Rehabilitation Research (No. R24 HD065702) a grant funded to the University of Texas Medical Branch’s Center for Rehabilitation Research using Large Datasets

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