“Our Informatics team can help you collect and manage research data, develop databases, and identify study participants. We’ll find the best data collection solution for your study. To get started, please submit a request below.”
William Harvey, MD, MSc, FACRCo-Director, Informatics and Tufts Medical Center CMIO
We participate in development of a robust institutional informatics infrastructure, enabling research teams to maintain their focus on scientific discovery and analyses rather than on data wrangling. Our infrastructure and support systems are dynamic, to keep pace with the changing and interdependent fields of health informatics, bioinformatics, statistics, and data science; expandable, to accommodate new data types and analytic methods; and scalable, to support efficient and methodologically rigorous multisite/institution research. These defining traits allow us to elucidate novel methods and operational principles, harmonize datasets, and create pipelines for data sharing and analytics.
The Tufts CTSI Informatics team can help you:
- Generate and refine hypotheses: we offer an access to a high-fidelity certified synthetic derivative of the Tufts Research Data Warehouse (TRDW). The synthetic data conform to the OMOP structure and vocabularies of the original data warehouse, and the statistical properties of this asset are remarkably similar to the real data warehouse. With less stringent regulatory and governance requirement than for actual patient data, the synthetic data is a valuable resource for our researchers.
- Identify subjects: we offer a cohort discovery service as well as access to the TriNetX self-service platform to identify study populations based on inclusion/exclusion criteria. Available only to Tufts MC employees.
- Request data: Once you’ve received IRB approval for your protocol (outlining data requirements and a data management/storage plan), we can help extract a limited data set (LDS) for clinical research projects. LDS is a limited patient-level dataset that excludes certain categories of direct identifiers following HIPAA guidelines.
- Collect and manage research data: we support your data collection and management needs by providing REDCap user accounts; hosting REDCap research databases in a secure, HIPAA-compliant environment; providing best practices and training for using REDCap. Group REDCap workshops and one-on-one consultations are available upon request.
Our resources include:
- The Tufts Medical Center (Tufts MC) Research Data Warehouse (TRDW) for observational research.
- Local Cohort Discovery powered by TriNetX to assess study feasibility
- REDCap, a HIPAA-compliant, web-based application for the development of databases and surveys.
- National Accrual to Clinical Trials (ACT) Network: Allows to search for patient cohorts across the CTSA network to identify potential partners for multi-site studies.
- National COVID Cohort Collaborative (N3C): Open science community focused on analyzing patient-level data from many clinical centers to reveal patterns in COVID-19 patients.
Who is eligible?
Eligibility for services varies, please check individual resource pages for details.
Research Informatics Team
Our team members have advanced degrees in computer and data science, hold faculty appointments at Tufts Medical Center and Tufts University School of Medicine. They also lead and contribute to nationwide initiatives, such as N3C and OHDSI, and serve as reviewers and editors for a variety of scientific journals.
View our bios and contact information.
To request support or use of our services, please submit a service request.
Have questions? Please email firstname.lastname@example.org and we will be happy to assist you.
William Harvey, MD, MSc, FACR, Co-Director, Informatics
Andrew Williams, PhD, Co-Director, Informatics
Svetlana Rojevsky, MSc, Program Administrative Director, Informatics