Turbelin Clément, Boëlle Pierre-Yves
UPMC Univ Paris 06, UMR-S U707, F-75012, Paris, France.
Stud Health Technol Inform. 2013;192:802-6.
With the growing use of information technologies, an increased volume of data is produced in Public Health Surveillance, enabling utilization of new data sources and analysis methods. Public health and research will benefit from the use of data standards promoting harmonization and data description through metadata. No data standard has yet been universally accepted for exchanging public health data. In this work, we implemented two existing standards eligible to expose public health data: Statistical Data and Metadata Exchange - Health Domain (SDMX-HD) proposed by the World Health Organization and Open Data Protocol (OData) proposed by Microsoft Corp. SDMX-HD promotes harmonization through controlled vocabulary and predefined data structure suitable for public health but requires important investment, while OData, a generic purpose standard, proposes a simple way to expose data with minimal documentation and end-user integration tools. The two solutions were implemented and are publicly available at http://sdmx.sentiweb.fr and http://odata.sentiweb.fr. These solutions show that data sharing and interoperability are already possible in Public Health Surveillance.
随着信息技术的使用日益增加，公共卫生监测中产生的数据量也在增多，这使得新数据源和分析方法的利用成为可能。公共卫生和研究将受益于通过元数据促进数据协调和描述的数据标准。目前尚未有用于交换公共卫生数据的通用数据标准。在这项工作中，我们实施了两项适用于公开公共卫生数据的现有标准：世界卫生组织提出的统计数据和元数据交换 - 卫生领域（SDMX - HD）以及微软公司提出的开放数据协议（OData）。SDMX - HD通过适用于公共卫生的受控词汇表和预定义数据结构促进协调，但需要大量投入，而OData作为通用标准，提供了一种以最少文档和最终用户集成工具公开数据的简单方法。这两种解决方案已经实施，可在http://sdmx.sentiweb.fr和http://odata.sentiweb.fr上公开获取。这些解决方案表明，在公共卫生监测中数据共享和互操作性已经是可行的。
