Welcome to the CLDR

The Center for Large Data Research and Data Sharing in Rehabilitation (CLDR) is an extension of the previously funded, Center for Rehabilitation Research using Large Datasets. The Center continues to build scientific capacity in large data research by focusing on education and learning experiences designed to promote collaborative research. The CLDR has developed an innovative program that advances collaborative rehabilitation science research, information policy, and evidence-based rehabilitation practices.

The Center's mission is to build rehabilitation research capacity by increasing the number of investigators conducting rehabilitation and disability outcomes research using large administrative and research datasets. This mission has expended to include an important focus on data sharing and archiving information from completed rehabilitation research studies.

 Pilot Project Program  Visiting Scholars Program
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Services Offered

  • Capacity Building in Large Data Research
  • Data Sharing and Archiving
  • Workshops, Webinars and Independent Training
  • Rehabilitation Data Directory and Variable Catalog
  • Pilot Project and Visiting Scholar Programs

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 Event Highlights


 News & Announcements

News and Announcements Archive

NIH releases strategic plan for data science - June 4, 2018

Storing, managing, standardizing and publishing the vast amounts of data produced by biomedical research is a critical mission for the National Institutes of Health. In support of this effort, NIH today released its first Strategic Plan for Data Science that provides a roadmap for modernizing the NIH-funded biomedical data science ecosystem.  Over the course of the next year, NIH will begin implementing its strategy, with some elements of the plan already underway. NIH will continue to seek community input during the implementation phase. Learn more at the NIH website.
graphicData Curation for Rehabilitation Research and Related Clinical Trials (Fort Collins, CO) - June 12-13, 2018

What is data curation? Learn More & Apply

ICPSR Summer Program in Quantitative Methods of Social Research The ICPSR Summer Program in Quantitative Methods of Social Research is recognized throughout the world as a leading source of basic and advanced instruction in a wide range of methodologies and techniques for research across the social, behavioral, and medical sciences.

Data Analysis Training Institute of Connecticut Professional development summer workshops in a variety of modern data analytic techniques geared toward researchers who wish to utilize these techniques in their own work.

University of Texas at Austin Summer Statistics Institute The Department of Statistics and Data Sciences at The University of Texas at Austin is proud to host the annual UT Summer Statistics Institute (SSI).

Health and Retirement Study: Biomarkers Data (Part 3 of 3) April 24, 2018

This webinar provides an overview of the data resources on physical measures and biomarkers in the Health and Retirement Study. The first part of the webinar provides information on the design of the physical measures and biomarkers data collection (through dried blood spot) and the measures collected. It also describes the Venous Blood Study with guidance on accessing these sensitive health data and relevant documentation.

Presented by Amanda Sonnega, associate research scientist in the Survey Research Center of the Institute for Social Research (ISR) at the University of Michigan (UM), where she is responsible for integrating communication, outreach, and education efforts for the Health and Retirement Study; and Jessica Faul, associate research scientist in the Survey Research Center and a co–principal investigator of the Health and Retirement Study, and affiliated with the Michigan Center on the Demography of Aging, the Population Studies Center, and the University of Michigan BioSocial Methods Collaborative.

This webinar was developed and presented by the University of Michigan with funds from the National Institute on Aging and hosted by GSA.

GSA Webinars

Health and Retirement Study: Data on Cognition (Part 2 of 3) March 27, 2018

This webinar presents an overview of the data resources on cognition in the Health and Retirement Study (HRS). The first part of the webinar identifies and provides guidance on the measures that have been included in the core survey along with where to find them. It also describes the supplementary clinical study of dementia — the Aging, Demographics, and Memory Study (ADAMS) — and offers guidance on accessing these sensitive health data. The last part of the formal presentation provides an initial glimpse into a new data resource — the Healthy Cognitive Aging Project (HCAP) — that provided valid data on the presence of cognitive impairment and dementia in the U.S. population.

Presented by Amanda Sonnega, Associate Research Scientist in the Survey Research Center of the Institute for Social Research (ISR) at the University of Michigan (UM), where she is responsible for integrating communication, outreach, and education efforts for the Health and Retirement Study.

This webinar was developed and presented by the University of Michigan with funds from the National Institute on Aging and hosted by GSA.

GSA Webinars
photoFebruary, 2018

Dr. Sook-Lei Liew is the lead author of recent publication about ATLAS, "A large, open source dataset of stroke anatomical brain images and manual lesion segmentations." She is a pilot project recipient at CLDR and a phase 2 scholar at the Rehabilitation Research Career Development (RRCD) program.

brainThe Anatomical Tracings of Lesions after Stroke (ATLAS) dataset is now available for download through the Archive of Data on Disability to Enable Policy and research (ADDEP), supported by CLDR. Researchers globally are using the scans to develop and test algorithms that can automatically process MRI images from stroke patients. In the long run, scientists hope to identify biological markers that forecast which patients will respond to various rehabilitation therapies and personalize treatment plans.

Read More: MRI stroke data set released - Science Daily | USC releases MRI stroke dataset to spur AI research - Health Data Management | Researchers hope to use MRI for stroke treatment, recovery - HSC News

photoFebruary, 2018
The UTMB Office of Biostatistics, Clinical & Translational Science Awards (CTSA) and CLDR sponsored this TRCC (Texas Regional CTSA Consortium) Quantitative Seminar: The Hope, Hype and Reality of EHR for Research, presented by Gulshan Sharma, MD, MPH, Vice President, Chief Medical & Clinical Innovation Officer.

photoFebruary, 2018
Nancy Baker, ScD, OTR/L is lead author on a new publication, What Types of Treatment Are Provided for Patients With Carpal Tunnel Syndrome? A Retrospective Analysis of Commercial Insurance in the journal of the American Academy of Physical Medicine and Rehabilitation.Dr. Baker is a CLDR Visiting Scholar.

Introduction to the Health and Retirement Study (Part 1 of 3) January 9, 2018

This introduction familiarizes new users with the study including previewing available data, how to access it, and some tips on getting started with analysis. An overview of the study can be found in PubMed: Cohort Profile: the Health and Retirement Study (HRS).

This webinar was developed and presented by the University of Michigan with funds from the National Institute on Aging and hosted by GSA.

GSA Webinars

Approximately 53 million Americans live with a disability. For decades, the National Institutes of Health (NIH) has been conducting and supporting research to discover new ways to minimize disability and enhance the quality of life of people with disabilities. After the passage of the Americans With Disabilities Act, the NIH established the National Center for Medical Rehabilitation Research with the goal of developing and implementing a rehabilitation research agenda.

The NIH recently organized a conference under the title "Rehabilitation Research at NIH: Moving the Field Forward." This report is a summary of the discussions and proposals that will help guide rehabilitation research at NIH in the near future.

An Interview with Dr. Ottenbacher

Big Data Collaboration Fuels Rehabilitation Research

Learn More

MR3: Medical Rehabilitation Research Resource Network

CLDR is part of the Medical Rehabilitation Research Resource Network (MR3 Network), funded by The National Institute of Child Health and Human Development (NICHD), through the National Center for Medical Rehabilitation Research (NCMRR), the National Institute for Neurological Disorders and Stroke (NINDS), and the National Institute of Biomedical Imaging and Bioengineering (NIBIB).
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, 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).