Ganzinger Matthias, Knaup Petra
Institute of Medical Biometry and Informatics, Heidelberg University, Heidelberg, Germany.
Stud Health Technol Inform. 2013;192:938.
We investigated for a research network on liver cancer semantic prerequisites for successful data sharing. To support collaboration with information technology, it is important to annotate research data with metadata. Ideally, all data handled are described ontologically to allow for automated reasoning. However, a complete ontology is hard to define. As a preliminary step we acquired a project wide common vocabulary by interviewing project partners. The vocabulary contains terms for describing the projects' processes and related data. Where the vocabulary intersects with Unified Medical Language System (UMLS) terms, the terms will be replaced by UMLS-terms. Cell line data are a subclass of the data handled in our research network. For these data we reviewed existing ontologies and developed a new ontology for cell lines. The Cell Culture Ontology (CCONT) reuses existing ontologies and enhances those with more specific cell line related properties to achieve a comprehensive description of cell lines. The results of our work can be transferred to other research networks with a similarly limited biomedical scope.
我们针对一个肝癌研究网络，调查了成功进行数据共享的语义前提条件。为了支持与信息技术的协作，用元数据注释研究数据很重要。理想情况下，所有处理的数据都应从本体论角度进行描述，以便进行自动推理。然而，完整的本体很难定义。作为初步步骤，我们通过采访项目合作伙伴获取了全项目通用词汇表。该词汇表包含描述项目流程及相关数据的术语。当该词汇表与统一医学语言系统（UMLS）术语相交时，这些术语将被UMLS术语取代。细胞系数据是我们研究网络中处理的数据的一个子类。对于这些数据，我们审查了现有的本体，并开发了一个新的细胞系本体。细胞培养本体（CCONT）复用了现有的本体，并通过更具体的细胞系相关属性对其进行增强，以实现对细胞系的全面描述。我们的工作成果可转移到其他生物医学范围类似有限的研究网络。
