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Rehabilitation Dataset Directory: Repository Profile

Repository: Archive of Data on Disability to Enable Policy (ADDEP)

Basic Information
Repository Full Name Archive of Data on Disability to Enable Policy
Repository Acronym ADDEP
General Theme or Special Population

Disability, Rehabilitation
Summary

The Archive of Data on Disability to Enable Policy and research (ADDEP) brings together existing disability data housed by the Inter-university Consortium for Political and Social Research (ICPSR) with newly acquired data from rehabilitation medicine and related areas. It provides access to data containing a wide range of topics related to disability and rehabilitation including, but not limited to: disability status, health care, rehabilitation services and medicine, employment, income, education, disability policies. ADDEP is a joint initiative of ICPSR, based at the University of Michigan and the Center for Large Data Research and Data Sharing in Rehabilitation (CLDR), and is funded through an NIH grant. 
Key Terms

Disability, Rehabilitation, Health care, Rehabilitation services, Rehabilitation medicine, Employment, Income, Education
Sponsoring Agency/Entity

National Institutes of Health (NIH)
Datasets Information
Data Type(s)

Primarily survey and interview data, but also includes other data types
Continent(s)

Africa, North America, Europe, Asia, Central America & Caribbean, South America, Oceania,

Countries

International
Strengths and Limitations
Strengths
  • All data archived in ADDEP contain disability and/or rehabilitation information.
  • Easy to navigate browse-able list
  • Comprehensive dataset documentation.
  • Easy access to the archived datasets.
  • Consistent and high quality descriptions   
  • Data-related publications list 
Limitations
Data Repository Details
Primary Website

https://www.icpsr.umich.edu/web/pages/ADDEP/index.html
Repository Tools
  • Filter by subject terms, geography, data format, time period, release date, data availability/restrictions (public or restricted use)
  • Keyword searching
  • Variable lists & frequencies
  • Variable search: search for variables across ADDEP studies, allows for side-by-side comparisons of up to five variables
  • Online data analysis (available for 16 datasets)
Data Submission Requirements

The following files are necessary for deposit:

  • Final version of each dataset generated during the project, including scale or other derived variables created for published analyses
  • Codebook listing the variable names, variable labels, value labels, and missing value designations (an SPSS dictionary with these elements can suffice)

The following files are very helpful to the archiving work of ADDEP:

  • Programming code necessary to reproduce all constructed measures and original data analysis, including but not limited to associated databases, database queries, images, or PowerPoint slides
  • Blank copy of each data collection instrument
  • User guide, manual, or other data collection protocols
  • IRB approval and blank copy of each consent form
  • Inventory of the files deposited.
Data Submission Process

Instructions for depositing data:

https://www.icpsr.umich.edu/web/pages/ADDEP/deposit.html  
Data Access

Search/browse all ADDEP holdings:

    https://www.icpsr.umich.edu/web/ADDEP/search/studies 
Data Access Requirements

ADDEP includes both public and restricted use datasets. Access requirements vary by dataset. 

Ask Our Researchers

Have a question about disability data or datasets?
E-mail your question to our researchers at disabilitystatistics@cornell.edu


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.

For questions or comments please contact disabilitystatistics@cornell.edu



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