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.

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

News & Announcements

Save the date- 2018 Institute on Health Services Research Quality Strategies in Rehabilitation: Advancing Health Services Research

The Center on Health Services Training and Research (CoHSTAR) and the Center for Large Data Research and Data Sharing in Rehabilitation (CLDR) are joining forces to co-sponsor a Health Services Research Institute titled, Quality Strategies in Rehabilitation: Advancing Health Services Research. The Institute, which will held at Boston University on April 5th, will be preceded by an evening reception and poster session on April 4th. This is a unique opportunity to share your research and engage with Institute faculty and participants. Submit a poster session abstract and be part of this groundbreaking event!

Successful applicants will receive complimentary 2018 Institute registration.

Abstract Submission Deadline: January 26, 2018

AHRQ MEPS-HC Data Users’ Workshop September 19, 2017 - Rockville, MD

This workshop will provide a general overview of the Medical Expenditure Panel Survey (MEPS), with lectures on MEPS-HC survey design, health care utilization, expenditures, medical conditions; and statistical issues and challenges researchers face while analyzing MEPS-HC data.
- MEPS workshops & events
- Program information & registration
Healthcare Cost and Utilization Project (HCUP) Database Overview Webinar
- Wednesday, September 6 from 2:00-3:00 PM ET

Healthcare Cost and Utilization Project (HCUP) Overview of HCUP Products and Tools Webinar
- Wednesday, September 13 from 2:00-3:00 PM ET

HCUP Data Users' Workshop: Using HCUP's State Ambulatory Surgery and Services Databases (SASD)
- Tuesday, September 19 from 9:00 AM-4:00 PM ET
Location: U.S. Department of Health and Human Services (DHHS) Pavilion, Rockville, MD

Sponsored by AHRQ, the workshop is a one-day course for health services researchers on the use of HCUP databases and software tools. This year, there will be a specific focus on using the State Ambulatory Surgery and Services Databases (SASD) and how they differ from the State Inpatient Databases (SID) and State Emergency Department Databases (SEDD). Faculty will present instruction on working with the HCUP databases to conduct cross sectional analyses, with a specific hands-on comparison of the HCUP SASD and SID databases and how to use HCUP-US documentation to their advantage when developing analyses. Participants will use their own computers loaded with text editing software and will walk through SAS programs on the databases. It is highly recommended that attendees review the HCUP Online Overview Course prior to the workshop.

Learn more & register for these events
The Anatomical Tracings of Lesions after Stroke (ATLAS) Dataset
Now Available on ADDEP - September 12, 2017


The CLDR is pleased to present the Anatomical Tracings of Lesions after Stroke (ATLAS) dataset, now available through the Archive of Data on Disability to Enable Policy and research (ADDEP). ATLAS is a manually traced lesion dataset comprised of deidentified, raw T1-weighted MRI images of individuals after stroke and manually traced lesion masks. ATLAS provides the largest known, open source collection of manually traced lesion masks for researchers to use for testing and validation of new automated lesion segmentation algorithms and has the potential to be used in the development of powerful new tools for stroke neurorehabilitation and research. 

- Research Group Video

- Additional information can be found here: http://www.biorxiv.org/content/early/2017/08/26/179614

https://acrm.org/meetings/2017-annual-conference/register-2017/CLDR- Sponsored Young Investigators Panel: Secondary Analysis of Archived Datasets

Four early career researchers presented their work as part of a CLDR sponsored symposium. This multidisciplinary session highlighted the importance of archiving and sharing data as well as show how new knowledge that can be generated through secondary data analysis. Read more about CLDR events at the ACRM Conference October 25-28, 2017.

Follow @UTMB_RehabSci on Twitter to find out more about CLDR activities.

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.

New Department of Veteran Affairs Open Data Portal

Data, APIs, tools and resources that can be used to develop web and mobile applications, design data visualizations, and create stories directly from VA resources.
Small Grants for Secondary Analyses of Existing Data Sets and Stored Biospecimens (R03) (PA-17-299)

Eunice Kennedy Shriver National Institute of Child Health and Human Development

This Funding Opportunity Announcement (FOA) encourages applications that propose to conduct secondary analyses of publicly available NICHD-funded data sets or stored biospecimens. The goal of this program is to facilitate innovative yet cost-effective research utilizing data and biospecimens collected with NICHD resources.  

Posted Date - May 26, 2017
Open Date (Earliest Submission Date) - September 16, 2017

Standard dates apply, by 5:00 PM local time of applicant organization.

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).