Information and knowledge management are at the center of the modern clinical research enterprise. The resources below can assist investigators as they bridge the translational gap between data and models, models and drug discovery, drug discovery and personalized medicine, and evidence and community health. Other informatics resources can be found in the VIICTR core database.
The Dan L. Duncan Institute for Clinical and Translational Research (ICTR)
The ICTR offers research informatics and biostatistics support services to new and experienced investigators who are interested in or are conducting clinical and translational research. The following services can be requested by completing an online request form.
- Research informatics support for all aspects of data design, management, and analysis, including studies involving collection and genomic analyses, and epigenomic and sequencing data
- Design and development of electronic case report forms and study-specific databases
- Design, development, and maintenance of protocols, patient registries, and clinical data
- Automated reporting of clinical data as required by study sponsor
- Design and development of reports as required by the Data Safety Monitoring Plan
- Randomization as required in specific clinical trials
- Monitoring and reporting of subject accrual, including tracking of minority recruitment
- Preparing lists of trials open for recruiting to distribute to investigators, committees, and others
- Interface with biostatistics
- Development of a secure Web-based database and other software applications and tools tailored to meet the needs of researchers for single- or multiple-site trials
- Biostatistical support for innovative and efficient study designs to account for the challenges in transforming scientific ideas into health-care advances
Computational and Integrative Biomedical Research (CIBR) Center
The CIBR Center supports new and experienced researchers by fostering collaborations and developing original quantitative and modeling approaches to biological and clinical problems. CIBR Center faculty members investigate imaging, clinical, computational, and data-driven issues posed by the complexity of high throughput datasets. Visit the CIBR Center Web site to view its offerings.
- Formal education and training in bioinformatics, computational biology, advanced simulations, epidemiology, and biostatistics
- Seminars and workshops
- Collaborative initiatives
- Discussion boards
- Software and data collections
- Data clinics and statistical consultation
- Seed grants (see also Funding Opportunities)