CTRI – Custom Data Management Solutions
If your project requires integration with other systems, has relational data requirements, or would benefit from other custom functionality not available through REDCap, our team will work with you to scope a custom data management application to precisely fit your needs. The scope and functionality of these custom solutions varies from project to project.
While most researchers are able to move forward with the existing tools and services, in some cases custom solutions are called for. The Medical College of Wisconsin Clinical & Translational Informatics team offers custom software development services at cost. Some projects require custom data integration or advanced user features that are beyond the capabilities of existing, canned software. In such cases, we offer our development experience and expertise to help build a custom solution to meet your needs.
The Clinical & Translational Research Informatics – Data Management (CTRI-DM) is the application development platform of the Medical College of Wisconsin Translational Research Integrated Database Environment. It supports the design of custom research data capture systems and also offers integration with the Clinical & Translational Research Informatics Data Warehouse (CTRI-CRDW), which contains both current and historic clinical data from F&CH and CTRI-DM research data management systems are custom-built by Clinical & Translational Research Informatics application developers in exchange for salary support to cover the time spent building the database.
Our staff of experienced medical research application software developers have built a whole suite of special purpose applications for a wide variety of departments, centers, and programs.
Citing CTRI Data Management
Please acknowledge the Medical College of Wisconsin CTSA Grant UL1TR001436. All publications must comply with NIH Public Access Policy.
Researchers other than K Scholars (KL2) – Please cite Grant UL1TR001436, as follows:
“This publication [or project] was supported by the National Center for Research Resources and the National Center for Advancing Translational Sciences, National Institutes of Health, through Grant Number UL1TR001436. Its contents are solely the responsibility of the authors and do not necessarily represent the official views of the NIH.”
K Scholars (KL2) – Please cite Grant KL2TR001438, as follows:
“This publication [or project] was supported by the National Center for Research Resources, the National Center for Advancing Translational Sciences, and the Office of the Director, National Institutes of Health, through Grant Number KL2TR001438. Its contents are solely the responsibility of the authors and do not necessarily represent the official views of the NIH.”
