Data Modeling

The Health Analytics Consortium (HAC) is an open incubator for collaboration and digital scholarship that emphasizes team-based transdisciplinary data science and advanced health analytics. A core mission of HAC is to foster integration of innovative research, development, education and training, and outreach in data and health sciences.

 The University of Michigan Health System provides leadership and support of “Collaborative Quality Initiatives” (CQIs) which seek to address some of the most common, complex, and costly areas of surgical and medical care. CQI Coordinating Centers, led by UMHS faculty, work collaboratively with health care providers throughout Michigan to collect data to a centralized registry; analyze and share data to identify processes that lead to improved delivery of care and outcomes, and guide quality improvement interventions. 

 The Statistics Online Computational Resource (SOCR) designs, validates and freely disseminates knowledge, scientific discoveries and learning materials. Specifically, SOCR provides portable online aids for probability, statistics, methods and analytics education, technology based instruction, and statistical computing.

UMHS Data Set Catalog is a listing of data sets available to various constituents within the University, along with associated metadata that describes what each data set contains, how it can be accessed, who its stakeholders are, and what its history has been.
An online, searchable directory of data assets (e.g. Disease Registries, Financial Data, Biospecimen Collections, Government Health Data, Quality Data), institutional or departmental, that have the potential for data reuse by the broader UMHS constituency.

 (Longitudinal Online Research and Imaging System) is a web-based data and project management software for neuroimaging research studies. It is an OPEN SOURCE framework for storing and processing behavioural, clinical, neuroimaging and genetic data. LORIS also makes it easy to manage large datasets acquired over time in a longitudinal study, or at different locations in a large multi-site study.

XNAT is an open source imaging informatics platform, developed by the Neuroinformatics Research Group at Washington University. It facilitates common management, productivity, and quality assurance tasks for imaging and associated data.  Learn more here

 A dynamic 3D viewer of neuroimaging and brain mapping data including volumes (.nii / .nii.gz / .img&.hdr / .mgh / .mgz / .nrrd), manifold shapes (.dx / .vtk / .stl / FreeSurfer), and tractography fibers (.trk).