Configurable Without Custom Programming
RexStudy adjusts to the evolving requirements of complex, longitudinal research, making it easy to quickly add new studies, new instruments (forms) and data elements, new operational workflows (often in less than a day), and new interactive data exploration interfaces. RexStudy provides the ability to configure research workflows to streamline data acquisition. Since configurability is inherent to RexStudy, our solutions are flexible enough to adapt to changing conditions and support your research for years to come.
Manage and Share New Studies, Labs, Users, and Data Types
RexStudy can quickly add new users, studies, forms, research assets (appointment rooms, sample types, legacy ID types), sites, and data marts. RexStudy provides powerful Application Programming Interfaces (APIs) that include advanced query and data transformation functionality, and facilitate integration with bioinformatics pipelines, EHRs, legacy data sources, and third-party tools, such as REDCap, Qualtrics, R, and Tableau.
Data Exploration Across Sites, Cohorts, and Time-Points
The best information model for storing your data is almost never the best one for exploring or analyzing it—let alone if your research combines data across types, timepoints, and disciplines. If you’ve ever been handed an incomprehensible “flattened” dataset, you understand how frustrating this tradeoff can be. RexStudy doesn’t shoehorn everything into one compromised model. Instead, all operational and acquired data is stored in an optimized model that maintains the provenance of each piece of data and the explicit relationships between them; but since it would be inconvenient to query or analyze data in this model, RexStudy can easily generate data marts that are individually optimized to support your reporting, exploration, and analysis activities. Virtually any combination of data accessible to or within the registry can be included in a mart, and each mart can use a completely different information model. Best of all, each mart can have its own data sharing permissions, making them ideal for supporting collaborations and publications.