Model-based research protocol design tools for enhanced study planning, operations management, and research data annotation, integration and reuse

Authors

• SW Bartlinski
• RJ Woodrow
• HM Hall
• CJ Barnett
• DM Varghese
• S Xu
• T Ahmed
• KJ Footer
• DB Parrish

Abstract

The NIAID Integrated Research Facility (IRF) is establishing a unified model of protocol driven research, based on the Life Sciences Domain Analysis Model (LS-DAM), as a specification framework for research study design and information management system configuration. During the study development process a custom module of the IRF Research Operations Management System (ROMS) uses a wizard-type approach to prospectively capture and annotate study structure, using this shared protocol representation model. By enforcing this standard model, metadata essential for understanding and interpreting data is made explicit, thus providing sufficient contextual information for research portfolio management, information integration and data reuse. In this session, it will be demonstrated how computable information models are being leveraged at the IRF using three functional examples: 1) Creation of study-specific sequence of activities (SOA) and sampling plan, using the interactive study design tool 2) Management and monitoring of research portfolio, using a document and data archive portal configured with study-specific timelines and deliverables 3) Interactive data browsing and visualization of operational and study outcomes using business intelligence applications configured to common information model This model driven approach provides significant value not only for post-study data review and analysis, but is critical across the complete research data lifecycle.

Scientific Focus Area: Research Support Services

This page was last updated on Friday, March 26, 2021