With the emergence of health data warehouses and major initiatives to collect and analyze multi-modal and multisource data, data organization becomes central. In the PACIFIC-PRESERVED (PhenomApping, ClassIFication, and Innovation for Cardiac Dysfunction – Heart Failure with PRESERVED LVEF Study, NCT04189029) study, a data driven research project aiming at redefining and profiling the Heart Failure with preserved Ejection Fraction (HFpEF), an ontology was developed by different data experts in cardiology to enable better data management in a complex study context (multisource, multiformat, multimodality, multipartners). The PACIFIC ontology provides a cardiac data management framework for the phenomapping of patients. It was built upon the BMS-LM (Biomedical Study -Lifecycle Management) core ontology and framework, proposed in a previous work to ensure data organization and provenance throughout the study lifecycle (specification, acquisition, analysis, publication). The BMS-LM design pattern was applied to the PACIFIC multisource variables. In addition, data was structured using a subset of MeSH headings for diseases, technical procedures, or biological processes, and using the Uberon ontology anatomical entities. A total of 1372 variables were organized and enriched with annotations and description from existing ontologies and taxonomies such as LOINC to enable later semantic interoperability. Both, data structuring using the BMS-LM framework, and its mapping with published standards, foster interoperability of multimodal cardiac phenomapping datasets.

随着健康数据仓库的出现以及收集和分析多模式和多源数据的重大举措，数据组织变得至关重要。在 PACIFIC-PRESERVED（心脏功能障碍的 PhenomApping、分类和创新 - 保留左心室射血分数心力衰竭研究，NCT04189029）研究中，这是一个数据驱动的研究项目，旨在重新定义和分析保留射血分数 (HFpEF) 的心力衰竭，这是一个本体论由心脏病学领域的不同数据专家开发，旨在在复杂的研究环境（多源、多格式、多模式、多合作伙伴）中实现更好的数据管理。PACIFIC 本体为患者表型图谱分析提供了心脏数据管理框架。它建立在 BMS-LM（生物医学研究 - 生命周期管理）核心本体和框架的基础上，在之前的工作中提出，以确保整个研究生命周期（规范、获取、分析、出版）的数据组织和来源。BMS-LM 设计模式应用于 PACIFIC 多源变量。此外，数据是使用疾病、技术程序或生物过程的 MeSH 标题子集以及 Uberon 本体解剖实体来构建的。总共 1372 个变量被组织起来，并通过来自现有本体和分类法（例如 LOINC）的注释和描述进行了丰富，以实现以后的语义互操作性。使用 BMS-LM 框架的数据结构及其与已发布标准的映射都促进了多模式心脏表型图数据集的互操作性。