Rance Bastien, Canuel Vincent, Countouris Hector, Laurent-Puig Pierre, Burgun Anita
University Hospital Georges Pompidou, Paris, France; INSERM UMR_S 1138, CRC, Paris, France.
University Hospital Georges Pompidou , Paris, France.
Appl Clin Inform. 2016 May 4;7(2):260-74. doi: 10.4338/ACI-2015-09-RA-0125. eCollection 2016.
Cancer research involves numerous disciplines. The multiplicity of data sources and their heterogeneous nature render the integration and the exploration of the data more and more complex. Translational research platforms are a promising way to assist scientists in these tasks. In this article, we identify a set of scientific and technical principles needed to build a translational research platform compatible with ethical requirements, data protection and data-integration problems. We describe the solution adopted by the CARPEM cancer research program to design and deploy a platform able to integrate retrospective, prospective, and day-to-day care data. We designed a three-layer architecture composed of a data collection layer, a data integration layer and a data access layer. We leverage a set of open-source resources including i2b2 and tranSMART.
癌症研究涉及众多学科。数据源的多样性及其异构性质使得数据的整合和探索变得越来越复杂。转化研究平台是协助科学家完成这些任务的一种很有前景的方式。在本文中,我们确定了构建一个符合伦理要求、数据保护和数据整合问题的转化研究平台所需的一套科学和技术原则。我们描述了CARPEM癌症研究项目为设计和部署一个能够整合回顾性、前瞻性和日常护理数据的平台而采用的解决方案。我们设计了一个由数据收集层、数据整合层和数据访问层组成的三层架构。我们利用了包括i2b2和tranSMART在内的一组开源资源。