Parvanova Irena, Finkelstein Joseph
Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Stud Health Technol Inform. 2020 Jun 16;270:1235-1236. doi: 10.3233/SHTI200379.
The aim of this study was to examine existing methods for sharing results of stem cell research via online data repositories. To identify the relevant repositories, a PubMed search was conducted using standard MeSH terms which was followed by a web-based search of relevant databases. The search yielded 16 databases created between 2010 and 2019. The review of databases identified 35 major rubrics and their sub-rubrics organized in a five-module system. Data integration approaches were characterized by three domains (common data elements, data visualization and analysis tools, and ontology mapping) which varied widely across the databases. Current state of stem cell data integration lacks reproducibility and standardization. Standardization of data integration approaches for representing stem cell studies is necessary to facilitate data sharing.
本研究的目的是检验通过在线数据存储库共享干细胞研究结果的现有方法。为了识别相关存储库,使用标准医学主题词(MeSH)在PubMed中进行了搜索,随后对相关数据库进行了基于网络的搜索。搜索产生了2010年至2019年间创建的16个数据库。对数据库的审查确定了35个主要类目及其子类目,这些类目被组织成一个五模块系统。数据集成方法的特点是三个领域(通用数据元素、数据可视化和分析工具以及本体映射),这些领域在不同数据库之间差异很大。干细胞数据集成的当前状态缺乏可重复性和标准化。为了促进数据共享,对表示干细胞研究的数据集成方法进行标准化是必要的。