Effective July 1, 2026 all RIT services are billed at $144 per hour
Experts from RIT consult on REDCap for electronic data collection, specifics of instrument development, and whether a project is best developed by the study team or by an expert administrator in a fee-for-service arrangement. Learn more about Instrument Consultation.
Featured project: Skeletal Trauma Database
Featured project: The HEALing Communities Study
Using REDCap at The Ohio State University
RIT can provide identity and access management for software projects and consult on electronic data collection for multi-site studies. Learn more about Data Coordinating Center Infrastructure.
Honest Broker analysts fulfill requests for clinical data, ensuring that each request contains only the data necessary for research purposes and excludes identifiable data. Learn more about Honest Broker for Clinical Data Requests.
i2b2 is a self-service resource allowing researchers to conduct feasibility studies using a coded-limited dataset sourced from the EHR. Querying i2b2 provides aggregate data without submitting the request to an Honest Broker.
Using the SCARLET standard registry framework, RIT collaborates with The Ohio State University Wexner Medical Center Information Warehouse to collect disease-specific data from the EHR into a self-service querying interface for researchers. SCARLET's querying interface can also be used to query other data collected during research. Learn more about SCARLET (Self-Service Querying and Research Registries).
The Secondary Data Core (SDC) is a shared resource for The Ohio State University researchers that stores and synthesizes large-scale clinical datasets on an analytic platform. Through the SDC, researchers can use data such as Truven Marketscan, the Healthcare Cost and Utilization Project, and Centers for Medicare & Medicaid Services Claims, or they can request to add their own data to the SDC. Learn more about the Secondary Data Core (SDC).
RIT transforms data into meaningful knowledge by using cutting-edge tools and developing custom software. Building on platforms like RShiny, and Tableau, RIT creates and hosts interactive dashboards. Researchers can use these dashboards to analyze large-scale data sets. Learn more about Data Visualization.
Research Computing Infrastructure reviews researcher requests for high performance computing resources and file storage. RCI leverages specialized training and offers guidance through policy to support researcher education and use of computing resources. Learn more about Research Computing Infrastructure (RCI).
When research needs cannot be satisfied by off-the-shelf packaged software, RIT develops end-to-end custom software solutions. We offer a broad spectrum of software applications built with consideration of security, robustness, sustainability and scalability. Learn more about Research Software Development.
Featured project: Portal for Research
When building a new app or tool, experts from RIT will meet with representative users of that product. Getting input from these people at the beginning of the process ensures the finished product meets their needs. Learn more about User Requirements Gathering.
Featured project: ACHIEVE
Prototypes are depictions of what an app, website or other system will look like, created before a single line of code is written. RIT rapidly designs prototypes with input from researchers and the intended users of the site and follows digital interface best practices to create experiences that are useful, usable and desirable. Learn more about Rapid Prototyping.
Featured project: ACHIEVE
Usability and qualitative assessments are evaluation methods that systematically capture and describe peoples' experiences using a given system. Experts in RIT create, conduct, analyze and compose usability and qualitative assessments for our clients and their target audiences. Learn more about Usability Assessments and Qualitative Assessment.
Featured project: ACHIEVE
Providing consultation to hands-on development, RIT leverages our expertise to connect your digital application to critical data via FHIR and other Epic sanctioned methods. Learn more about Clinical Data Integration in Software.
Featured project: BREASTChoice
RIT partners with research teams and institutional IT organizations to champion deployment of research software. RIT experts in software engineering provide a holistic approach spanning security assessments, cloud deployments, infrastructure acquisition and custom software updates to ongoing maintenance. Learn more about Software Deployment at Ohio State and Beyond.
Featured project: BREASTChoice
RIT supports the design and development of AI-enabled tools, including chatbots, digital assistants, retrieval-augmented generation systems, natural language processing workflows, and other AI-supported applications. Our approach emphasizes secure architecture, iterative prototyping, user testing, documentation, and operational hand off. Learn more about AI solution engineering and deployment.
There is no AI without data. AI project depends on high-quality, well-governed data that can be securely prepared, documented, and reused. RIT helps create AI-ready data assets thought secure data pipelines, data modeling, curation, labeling, documentation, and quality review. this work supports traceability, reuse, and responsible analysis across and operational contexts. Learn more about Data Engineering for AI.
The ethical, compliance, and governance landscape around AI are evolving rapidly. RIT helps teams identify and manage AI-related risks, including privacy, security, bias, transparency, and compliance considerations. Our approach keeps human oversight central and supports inspectable outputs, source attribution, and trails, and appropriate escalation pathways. Learn more about Responsible AI & Security Governance.