CTSILogo_2023_website_header
DataScience_Hero
Data Science Services

Data Science Services - Coming Soon!

The mission of CTSI Data Science will be to coordinate, integrate, streamline, educate, train and support the use of state-of-the-art data science methods in clinical and translational research (or biomedical research) to improve the rigor and reproducibility of research using big data. The aim of CTSI Data Science is to build bridges across disciplines and coordinate resources by offering consultation and fostering collaboration on research using big data. 
DataScienceService_Intro Component

Our goal will be to provide high-quality data science services to investigators, trainees and community organizations at each stage of a study’s lifecycle, including the formulation of research questions, study design, comprehensive data integration, generation of analytic-ready datasets, analytics using state-of-the-art data science methods and other emerging data-driven and data-intense endeavors, and scientific interpretation and reporting.

To achieve this aim, CTSI Data Science will work closely with the Center for Biomedical Informatics, the Data Science Institute, Mellowes Center, CTSI Community Engagement, training and education programs, CTSI partner institutions, and community organizations addressing health and health equity.

Please contact CBMI Research Informatics at cbmi-ri@mcw.edu for more information!
 

Planned Services

Data Science services will be tailored to the needs of investigators and range from one time consultation, routine service support to short- or long-term collaboration to enhance the research efforts of investigators and trainees. Service types may include, but are not limited to:
all
Development or Review of Research Plan or Grant Proposals
  • Provide expert guidance on the formulation or refining of research questions
  • Coordinate and help investigators and trainees to identify appropriate resources, including quantitative resources on campus and publicly available datasets and data science tools
  • Facilitate data acquisition, database development and the generation of comprehensive databases through the integration of different data sources
  • Provide expert guidance on efficient and rigorous study design, sample size and power analyses
  • Support for developing analysis plan
  • Review of grant proposals
Data Analysis Support
  • Data preprocessing and generation of analysis-ready datasets
  • Support for data integration and integrative analyses
  • Appropriate rigorous and reproducible analyses of big data using machine learning/artificial intelligence and other emerging data-driven and data-intense methods for biomedical data mining and risk/outcome prediction
  • Analyses of unstructured health data
Publication Development and Review
  • Data visualization: Prepare high quality tables and figures for scientific meetings and papers
  • Support for results interpretation, writing of the methods, results and discussion sections of abstracts and manuscripts
  • Review of manuscripts
Other
  • Collaborate with CTSI partners to develop data science analytical tools/pipelines/software
  • Educate individuals and teams on data science concepts and tools through seminars, workshops and individual sessions to enhance the analytical competencies of investigators and trainees.
  • Contact us with all other research design and analysis questions related to the use of big data.
  • Data Science Fellowship: A six-month collaboration with a CTSI faculty who will provide formal training and mentorship for investigators to incorporate data science in their own project and help advance investigator’s knowledge in data science
  • Collaboration with clinical investigators to provide clinical education to data scientists and informatics teams

Contact Us

Please contact CBMI Research Informatics at cbmi-ri@mcw.edu for more information!

Clinical and Translational Science Institute of Southeast Wisconsin

Medical College of Wisconsin

8701 Watertown Plank Rd., Suite M1350

Milwaukee, WI 53226

(414) 955-8200
(414) 955-0050 (fax)

Medical College of Wisconsin Google map location