European Translational Research Information and KM Services (eTRIKS) Prof Yike Guo Department of Computing Imperial College London Convergence Meeting: Semantic Interoperability for Clinical Research & Patient Safety in Europe Convergence Meeting: Semantic Interoperability for Clinical Research & Patient Safety in Europe 1 Goals & Objectives • Objective: – Provision of a sustainable KM Platform and Service to support Private/Public Translational Research (TR) in IMI and beyond – Single access point to standardised curated TR study information • Scope: – Cloud Hosting, KM Platform, Data & Service Standards, Analytics, Curation, and Training – Potentially support for any IMI Project involving translational research • Budget: €23.98m for 5 years (Oct/2012---Sept/2017) Convergence Meeting: Semantic Interoperability for Clinical Research & Patient Safety in Europe 2 Partners Academia SME Convergence Meeting: Semantic Interoperability for Clinical Research & Patient Safety in Europe 3 ETRIKS Deliverable • KM support for IMI (and other PPP) projects – Access to fit-for-purpose, secure, easy-access, standardised TR KM services (for ongoing cross-organisation TR study support) • • • • Hosting / installation Training Curation workflow software Data Mgmt software • • • • Analytics software Curation support Standards build and coordination KM consultancy – Single point of access to curated historic TR study data on the cloud – Sustainable, interoperable, collaborative, re-usable, open source TR platform, based on open, agreed standards, used and contributed to by global research community. • Development of an active TR analytics & informatics community TR Informatics Standard and Centralized Data Cloud eTRIKS : Linking the Two Worlds From : Committee on A Framework for Developing a New Taxonomy of Disease Convergence Meeting: Semantic Interoperability for Clinical Research & Patient Safety in Europe 5 eTRIKS Architecture Convergence Meeting: Semantic Interoperability for Clinical Research & Patient Safety in Europe 6 eTRIKS Study Data Management Convergence Meeting: Semantic Interoperability for Clinical Research & Patient Safety in Europe 7 eTRIKS Curation: Building Contents Convergence Meeting: Semantic Interoperability for Clinical Research & Patient Safety in Europe 8 eTRIKS Data Curation Process tranSMART-based eTRIKS Study Data Management System Convergence Meeting: Semantic Interoperability for Clinical Research & Patient Safety in Europe 9 Use cases • U-BIOPRED (Unbiased BIOmarkers in PREDiction of respiratory disease outcomes) 1. Reaching international consensus on diagnostic criteria 2. Creating adult/pediatric cohorts and biobanks 3. Creating novel biology ‘handprints’ by combining molecular, histological, clinical and patient-reported data 4. Validating such ‘handprints’ in relation to exacerbations and disease progression 5. Refining the ‘handprints’ by using preclinical and human exacerbation models 6. Predicting efficacy of gold-standard and novel interventions 7. Refining the diagnostic criteria and phenotypes 8. Establishing a platform for exchange, education and dissemination Convergence Meeting: Semantic Interoperability for Clinical Research & Patient Safety in Europe 10 eTRIKS Ontology Management Convergence Meeting: Semantic Interoperability for Clinical Research & Patient Safety in Europe 11 Semantic Resources • Based on NCBO (BioPortal Ontologies) • eTRIKS Possible focus: – UMLS ( Vocabularies include: CPT®, ICD-10-CM, LOINC®, MeSH®, RxNorm, and SNOMED CT®) – CTSA – NCBO Human related Phenotype ontologies – Omics ontologies Convergence Meeting: Semantic Interoperability for Clinical Research & Patient Safety in Europe 13 Adoption of standards • CDISC Data Model – SDTM : Study Data Tabulation Model – ADaM : Analysis Data Model – SEND: Standard for Exchange of Nonclinical Data – CDASH Clinical Data Acquisition Standards Harmonization – PR: Protocol Representation – TDM: Study/Trial Design Model – ODM: Operational Data Model – LAB: Laboratory Data Model – BRIDG Model Convergence Meeting: Semantic Interoperability for Clinical Research & Patient Safety in Europe 14 Quality assurance of the semantic resources • All tools used based on open source community based building • Continuous interfacing with developing community and regular standards updates will ensure quality • WP3 dedicated to ontologies and standards, led by CDISC • Large collaboration with projects across EU/USA Convergence Meeting: Semantic Interoperability for Clinical Research & Patient Safety in Europe 15 Standards and terminologies selection process Convergence Meeting: Semantic Interoperability for Clinical Research & Patient Safety in Europe 16 Semantic interoperability issues •Legacy data for certain projects / studies – Possible Solution: Development of custom ETL procedures. •Diverse EHR systems in clinics : not a problem now but EHR will be an ideal addtion to CTMS –Working closely with projects like EHR4CR/Euroca /Open Phacts • Too many standards and mappings –Committing to some widely adopted systems (by IMI projects) •Cross projects mapping –Need terminology mapping services : learning Convergence Meeting: Semantic Interoperability for Clinical Research & Patient Safety in Europe Semantic Web technology 17 Examples Convergence Meeting: Semantic Interoperability for Clinical Research & Patient Safety in Europe 18 Project Information • www.etriks.org • Publications – None yet • Contact information – Email: y.guo@imperial.ac.uk – Website: http://dsg.doc.ic.ac.uk Convergence Meeting: Semantic Interoperability for Clinical Research & Patient Safety in Europe 19