March Stefanie, Antoni Manfred, Kieschke Joachim, Kollhorst Bianca, Maier Birga, Müller Gabriele, Sariyar Murat, Schulz Mandy, Enno Swart, Zeidler Jan, Hoffmann Falk
Medizinische Fakultät, Institut für Sozialmedizin und Gesundheitsökonomie, Otto-von-Guericke-Universität Magdeburg, Magdeburg.
Institut für Arbeitsmarkt- und Berufsforschung der Bundesagentur für Arbeit (IAB), Nürnberg.
Gesundheitswesen. 2018 Mar;80(3):e20-e31. doi: 10.1055/s-0043-125070. Epub 2018 Feb 20.
In recent years, linking different data sources, also called data linkage or record linkage, to address scientific questions, is being increasingly used in Germany. However, there are very few published reports and new projects develop the necessary tools independently of each other. Therefore, a team of researchers joined together to exchange their experiences on data linkage and to give suggestions on how linkage could be done for scientists, reviewers as well as members of data privacy boards and ethics committees. It is the aim of this article to assist future projects that want to link German data on an individual level. In addition to the legal framework conditions (data privacy), also examples of types of data linkage, their fields of application und potential pitfalls as well as the methods of preventing them will be described in an application-oriented fashion.
近年来，德国越来越多地使用连接不同数据源（也称为数据链接或记录链接）来解决科学问题。然而，已发表的报告很少，新项目彼此独立地开发必要的工具。因此，一组研究人员联合起来，交流他们在数据链接方面的经验，并就如何为科学家、评审人员以及数据隐私委员会和伦理委员会的成员进行链接提供建议。本文旨在协助未来想要在个体层面链接德国数据的项目。除了法律框架条件（数据隐私）外，还将以面向应用的方式描述数据链接类型的示例、它们的应用领域和潜在陷阱以及防止这些陷阱的方法。
