Data harmonization and mapping align data from different sources into a unified, analyzable format. Harmonizing metadata across systems requires analyzing each source’s structures (name, definitions, data types, conformance, cardinality, business rules, and vocabulary bindings). The next step involves mapping variations and documenting transformation rules. This process is vital for the interoperability of source and target systems when converting between data exchange standards. It demands domain expertise, knowledge of terminologies, and technical understanding to ensure rules are computable. Using standard frameworks reduces point-to-point mappings and promotes data standards reuse.
At Samvit Solutions, our capability in semantic integration goes beyond technical proficiency; it encompasses a strategic understanding of how metadata management impacts data quality and usability.
Our expertise in healthcare domain data standards, terminologies, data exchange standards (HL7 FHIR, CDISC, etc.) and our deep understanding of the ISO/IEC 11179 Metadata Registry standard, a pivotal framework for managing metadata repositories, allows us to bring that experience, expertise and insight into harmonization and mapping initiatives. The ISO/IEC 11179 standard guides our approach to organizing and utilizing data effectively, ensuring that data from diverse sources is integrated meaningfully and accurately. Our proficiency in applying ISO/IEC 11179 is particularly evident in our work with the NCI’s Cancer Data Standards Registry and Repository (caDSR), where this standard is leveraged to enhance data interoperability and consistency.
Samvit has done extensive work in harmonization and mapping on several large-scale projects such as the N3C COVID Project, NCATS/FDA/NCI Common Data Model Harmonization of harmonizing and mapping several industry models such as ACT/I2B2, TrinetX, Sentinel, OMOP, CDISC, US Core, etc. In complex fields like healthcare, where data accuracy is paramount, our skill in harmonization and complex mappings ensures that data is interoperable, reliable, and meaningful for all stakeholders. This positions us as a critical partner for organizations looking to optimize their data integration processes.