Biostatistics and Health Data Science, Indiana University School of Medicine, Indiana, USA.
Computer and Information Technology, Purdue University, Indiana, USA.
Stud Health Technol Inform. 2024 Jan 25;310:3-7. doi: 10.3233/SHTI230916.
Modern clinical studies collect longitudinal and multimodal data about participants, treatments and responses, biospecimens, and molecular and multiomics data. Such rich and complex data requires new common data models (CDM) to support data dissemination and research collaboration. We have developed the ARDaC CDM for the Alcoholic Hepatitis Network (AlcHepNet) Research Data Commons (ARDaC) to support clinical studies and translational research in the national AlcHepNet consortium. The ARDaC CDM bridges the gap between the data models used by the AlcHepNet electronic data capture platform (REDCap) and the Genomic Data Commons (GDC) data model used by the Gen3 data commons framework. It extends the GDC data model for clinical studies; facilitates the harmonization of research data across consortia and programs; and supports the development of the ARDaC. ARDaC CDM is designed as a general and extensible CDM for addressing the needs of modern clinical studies. The ARDaC CDM is available at https://dev.ardac.org/DD.
现代临床研究收集参与者、治疗方法和反应、生物样本以及分子和多组学数据的纵向和多模态数据。这种丰富而复杂的数据需要新的通用数据模型 (CDM) 来支持数据传播和研究合作。我们为酒精性肝炎网络 (AlcHepNet) 研究数据公共领域 (ARDaC) 开发了 ARDaC CDM,以支持国家 AlcHepNet 联盟中的临床研究和转化研究。ARDaC CDM 弥合了 AlcHepNet 电子数据捕获平台 (REDCap) 使用的数据模型与 Gen3 数据公共领域框架使用的基因组数据公共领域 (GDC) 数据模型之间的差距。它扩展了用于临床研究的 GDC 数据模型;促进了合作和项目之间研究数据的协调;并支持 ARDaC 的发展。ARDaC CDM 被设计为一种通用且可扩展的 CDM,用于满足现代临床研究的需求。ARDaC CDM 可在 https://dev.ardac.org/DD 上获得。