Kuchinke Wolfgang, Krauth Christian, Bergmann René, Karakoyun Töresin, Woollard Astrid, Schluender Irene, Braasch Benjamin, Eckert Martin, Ohmann Christian
Heinrich-Heine-University, Düsseldorf, Germany.
Isis Innovation Ltd, Oxford, UK.
BMC Med Inform Decis Mak. 2016 Jul 7;16(1):81. doi: 10.1186/s12911-016-0325-0.
In an unprecedented rate data in the life sciences is generated and stored in many different databases. An ever increasing part of this data is human health data and therefore falls under data protected by legal regulations. As part of the BioMedBridges project, which created infrastructures that connect more than 10 ESFRI research infrastructures (RI), the legal and ethical prerequisites of data sharing were examined employing a novel and pragmatic approach.
We employed concepts from computer science to create legal requirement clusters that enable legal interoperability between databases for the areas of data protection, data security, Intellectual Property (IP) and security of biosample data. We analysed and extracted access rules and constraints from all data providers (databases) involved in the building of data bridges covering many of Europe's most important databases. These requirement clusters were applied to five usage scenarios representing the data flow in different data bridges: Image bridge, Phenotype data bridge, Personalised medicine data bridge, Structural data bridge, and Biosample data bridge. A matrix was built to relate the important concepts from data protection regulations (e.g. pseudonymisation, identifyability, access control, consent management) with the results of the requirement clusters. An interactive user interface for querying the matrix for requirements necessary for compliant data sharing was created.
To guide researchers without the need for legal expert knowledge through legal requirements, an interactive tool, the Legal Assessment Tool (LAT), was developed. LAT provides researchers interactively with a selection process to characterise the involved types of data and databases and provides suitable requirements and recommendations for concrete data access and sharing situations. The results provided by LAT are based on an analysis of the data access and sharing conditions for different kinds of data of major databases in Europe.
Data sharing for research purposes must be opened for human health data and LAT is one of the means to achieve this aim. In summary, LAT provides requirements in an interactive way for compliant data access and sharing with appropriate safeguards, restrictions and responsibilities by introducing a culture of responsibility and data governance when dealing with human data.
生命科学领域的数据以前所未有的速度产生并存储在许多不同的数据库中。其中越来越多的数据是人类健康数据,因此属于受法律法规保护的数据范畴。作为生物医学桥梁项目的一部分,该项目创建了连接10多个欧洲研究基础设施战略论坛(ESFRI)研究基础设施(RI)的基础设施,采用新颖务实的方法研究了数据共享的法律和伦理前提条件。
我们运用计算机科学的概念来创建法律要求集群,以实现数据库之间在数据保护、数据安全、知识产权(IP)和生物样本数据安全等领域的法律互操作性。我们分析并提取了参与构建涵盖欧洲许多最重要数据库的数据桥梁的所有数据提供者(数据库)的访问规则和约束条件。这些要求集群被应用于代表不同数据桥梁中数据流的五个使用场景:图像桥梁、表型数据桥梁、个性化医疗数据桥梁、结构数据桥梁和生物样本数据桥梁。构建了一个矩阵,将数据保护法规中的重要概念(如假名化、可识别性、访问控制、同意管理)与要求集群的结果相关联。创建了一个交互式用户界面,用于查询该矩阵以获取合规数据共享所需的要求。
为了在无需法律专家知识的情况下引导研究人员了解法律要求,开发了一种交互式工具——法律评估工具(LAT)。LAT以交互方式为研究人员提供一个选择过程,以表征所涉及的数据和数据库类型,并针对具体的数据访问和共享情况提供合适的要求和建议。LAT提供的结果基于对欧洲主要数据库中不同类型数据的数据访问和共享条件的分析。
出于研究目的的数据共享必须向人类健康数据开放,而LAT是实现这一目标的手段之一。总之,LAT通过在处理人类数据时引入责任文化和数据治理,以交互方式提供了合规数据访问和共享的要求,同时具备适当的保障措施、限制和责任。