Find a Resource
- Use the filter to limit the amount of categories displayed
- Click on the or icon to quickly view and hide details of the resource
- Click on the name of the resource to see more details
- Click on the category names to see other resources under that category
Export formats:
| Resource | Description | Resource Categories | Resource Keywords | Website | URL | Status | License | Version | Input | Output | School | Program | Primary Contact | Primary Contact |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| SOCR Datasets: Examples of Biomedical, Health, Imaging, Economic and Biosocial Data |
This is an open-access archive of a diverse collection of datasets that can be used for demonstrations, algorithm development, instrument testing, exploratory analytics and hands-on experiential practice of data-driven inference. The data are classified by type. Meta-data is provided to frame the information into the scope of specific driving motivational challenges. Observed and simulated data are included in the SOCR Data archive. The data can be redistributed (CC-BY). |
Academic, Big Data, Data Analysis, Large Data, Research | Analytics, Big Data, methods, Software, SMHS, Education, Training | SOCR Wiki | http://wiki.socr.umich.edu/index.php/SOCR_Data | Active | Open access, redistribution is allowed (CC-BY license). | User Navigates the Data Archive Using a Mouse, Searches via keyword/phrase | One or more collections of datasets with corresponding meta-data (HTML, table format, can be copy-pasted/saved into any tabular format (e.g., CSV, XLSX) | University of Michigan School of Nursing | HBBS, MIDAS, SOCR / Statistics Online Computational Resource | Ivo Dinov | Dinov, Ivo | |
| Statistics Online Computational Resource (SOCR) |
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. |
Academic, Data Analysis, Data Modeling | statistics, methods, applets, webapps, data, learning, ebook, teaching | SOCR | http://socr.umich.edu/ | LGPL (code) and CC-BY (Content) | Datasets, Learning Inquiries | Data Interrogation, Visualization, Analysis, Learning Activities | University of Michigan School of Nursing | SOCR | Ivo Dinov | Dinov, Ivo | ||
| UMHS Data Set Catalog |
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. |
Clinical, Data Analysis, Data Modeling, Large Data | UMHS Data Set Homepage | https://datasetcatalog.med.umich.edu/ | Active | N/A | Data Type, Creation Date, Stakeholders, Access Protocols | Categorized Resources | University of Michigan Health System | UMHS's Data Analytics initiative, COMPASS | Marcy Harris | Harris, Marcy | ||
| University of Michigan Institute for Healthcare Policy and Innovation Data Sets |
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. |
Academic, Administrative, Big Data, Data Analysis, Data Modeling, EHRS/EHR, Large Data, Research | Clinical Data, Administrative Data, BC/BS, Quality Improvement, Data Analytics, Outcomes | http://ihpi.umich.edu/about/data-resources/available-datasets | http://ihpi.umich.edu/about/data-resources/available-datasets | Varies according to source. Access to sets are available to IHPI members. Some have costs associated. | University of Michigan Institute for Healthcare Policy & Innovation | UMSN & Cross-campus | , [email protected] | |||||
| VistA for Education/ Educational World VistA |
Real world EHRS configured for use in an academic setting |
Academic, Clinical, EHRS/EHR, Simulation | EHRS, VistA, Simulation, Synthetic Patients | GPLV2 UMHS CPT Code internal-use license (AMA) | University of Michigan School of Nursing, SOM | Department of Systems, Populations and Leadership / Informatics | Patricia Abbott | Abbott , Patricia | ||||||
| XNAT |
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 |
Big Data, Data Analysis, Data Modeling, Informatics, Large Data, Open Source, Visualization | Under Development | Copyright (c) 2015, Washington University School of Medicine, Harvard University, Howard Hughes Medical Institute. All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. | 1.65 | DICOM Image Data, Clinical Data, Psychometric Data | Dashboard | University of Michigan School of Nursing | SOCR | Ivo Dinov | Dinov, Ivo |
