Welcome to the CRRLD About the Center for Rehabilitation Research using Large Datasets
Our mission is to build rehabilitation research capacity by increasing the quantity and quality of rehabilitation outcomes research using large administrative and research datasets.
Advances related to Rehabilitation statistical methods, bioinformatics, information technology and the internet have resulted in the creation of high quality databases and provide easier access to aggregated information relevant to rehabilitation science and practice. Rehabilitation investigators are traditionally trained in clinical research and lack the skills and experience to conduct research involving large datasets. The Center includes a consortium of investigators at the University of Texas Medical Branch (UTMB), Cornell University, the Rehabilitation Institute of Chicago and the Uniform Data System for Medical Rehabilitation (Buffalo, NY). Read more about the Institutions that comprise the Center, our Mentors and Collaborators and our Datacore at this website.
Big Data News from the National Institutes for Health
NIH Big Data to Knowledge (BD2K): The mission of the NIH Big Data to Knowledge (BD2K) initiative is to enable biomedical scientists to capitalize more fully on the Big Data being generated by those research communities. Read more at the BD2K website.
NIH Data and Informatics Working Group Report: In response to growth of large biomedical datasets, the NIH formed the Working Group on Data and Informatics, charged with examining issues related to data. View the report at the NIH website.
The CRRLD Data Management Core (DMC) is a central resource for investigators at UTMB and partner institutions interested in working with large datasets for conducting medical rehabilitation research. The DMC is divided into three phases: data acquisition (obtaining datasets from governmental and non-governmental entities), data management (compilation, maintenance, storage, and security) and data extraction. In order to ensure efficiency of data utilization by several investigators and provision of support, the model below will be used. More about the CRRLD Data Management Core