FIND Disability Statistics
American Community Survey (ACS)
- Employment Rate
- Not Working but Actively Looking for Work
- Full-Time / Full-Year Employment
- Annual Earnings
- Annual Household Income
- Supplemental Security Income (SSI)
- Educational Attainment
- Veterans Service-Connected Disability
- Health Insurance Coverage (and Type)
Current Population Survey (CPS)
EEOC Charge Data
Rehabilitation Dataset Directory: Repository Profile
Repository: National Institute of Child Health and Human Development Data and Specimen Hub (NICHD DASH)
|Repository Full Name||National Institute of Child Health and Human Development Data and Specimen Hub|
|Repository Acronym||NICHD DASH|
|General Theme or Special Population||
NICHD DASH is a centralized resource for researchers to store and access de-identified data from NICHD-funded research studies for secondary research use. It is a mechanism for NICHD-funded investigators to share research data from studies in accordance with NIH Data Sharing Policies. Many of the NICHD-funded research studies also collected biospecimens that are stored in the NICHD Contracted Biorepository. To provide access to these biospecimens, NICHD DASH stores and make available to other investigators the biospecimen catalog for studies that have associated research data in NICHD DASH. By supporting data and biospecimen access through NICHD DASH, NICHD aims to accelerate scientific findings and improve human health.
Children/Youth, Child health, Child development, Environmental factors
National Institutes of Health (NIH)
National Institute of Child Health and Human Development (NICHD)
Survey, Biomarkers, Environmental exposure measures
|Strengths and Limitations|
Well designed, easy to navigate, and informative repository with clear tutorials regarding use.
No account required to browse or search for study data stored in NICHD DASH; however, an account is required to submit or request study data and download study documentation.
A wide variety of biospecimens collected in a number of the repository studies can be requested.
Interface provides consistent information across studies regarding design and study population (sex, life stage, ethnicity, race, location).
Limited to only NICHD-funded research studies.
|Data Repository Details|
DASH Tutorial Provides detailed instructions on all aspects of DASH.
Biospecimen Explorer allows filtering by:
Documentation Explorer allows filtering by:
|Data Submission Requirements||
Limited to only NICHD-funded research studies. An account (free registration) is required to submit study data.
|Data Submission Process|
Free account registration is required to request study data and download study documentation.
|Data Access Requirements||
Data Use agreement, No cost
|Documentation & Resources|
DASH, the data and specimen hub of the National Institute of Child Health and Human Development
Ask Our Researchers
Have a question about disability data or datasets?
E-mail your question to our researchers at email@example.com
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:
- Archive of Data on Disability to Enable Policy and research (ADDEP)
- Data Sharing & Archiving at CLDR
- Pilot Project Program
- Visiting Scholars Program
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.
For questions or comments please contact firstname.lastname@example.org