Advancing Image Data Interoperability and Standards within an NIH Ecosystem (AIDISNE): A CHOP, FlyWheel, and Seven Bridges Integration Demonstration Project

项目总结

PROJECT SUMMARY Our research plan includes three components that address an end-to-end use-case-driven framework that: (1) will demonstrate the ingestion, publishing, and requisition of imaging data by integrating the FlyWheel Platform within the INCLUDE Ecosystem; (2) will provide for platform and workspace interoperability features between CAVATICA and the FlyWheel Platform, and (3) leverage and support the further extension DRS and FHIR to support imaging data in parity and alongside clinical and genomics data within the INCLUDE Data Hub, a FHIR-first portal. The research plan aims to address Imaging Gaps by completing demonstration projects that further define and delineate the extensible requirements for integrating imaging data with existing NIH-funded ecosystems, define minimal interoperability requirements across platforms and workspaces by developing functional implementations, and translating these requirements into best practice through standard development within the NIH Cloud Platform Interoperability (NCPI) effort.