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The Code Map project was in part funded by the Patient-Centered Outcomes Research Institute (PCORI). Through the use of common data models (CDMs), scientists conduct analysis of real-world data which is critical for healthcare research. CDMs standardize the structure, format, and terminologies for data, so researchers can collaborate, share data, and conduct analyses across different datasets. Code Map Services provide researchers with an automated tool to transform (machine to machine) data collected and stored in one CDM format into another CDM format:

• The National Patient-Centered Clinical Research Network

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  (PCORnet)
• The Observational Medical Outcomes Partnership

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  (OMOP)
• FDA Sentinel Initiative

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• Health Level Seven International

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  (HL7) Fast Health Interoperability Resources

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  (FHIR) US Core Profiles V7 (based on

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  (based on United States Core Data for Interoperability USCDI)
• Informatics for Integrating Biology & Bedside

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  / Accrual to Clinical Trials

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  (i2b2/ACT)
• TriNetX

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• Clinical Data Interchange Consortium

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  (CDISC) Study Data Tabulation Model

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  (SDTM)

Code Map Services establish a source of truth within caDSR (a shared metadata mapping repository) by using standards-based semantic annotations for establishing model-to-model equivalents. Mappings can evolve and be versioned over time, thereby improving and expanding functionality with each release.

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• Model Import and Versioning
• Creation of Model Mapping and Transformation Rules including value mappings for data coded using “local codes”
• Services to support registration of CDEs for new models
• APIs and an FTP site for retrieving Model information and Mappings
• Limited NCI Metathesaurus / NCI Thesaurus terminology cross-walk mapping tables for data coded using a subset of selected standard terminologies

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