European Research Infrastructure on Highly Pathogenic Agents (ERINHA), 1050, Brussels, Belgium.
European Clinical Research Infrastructure Network (ECRIN), 75013, Paris, France.
Sci Rep. 2022 Dec 5;12(1):20989. doi: 10.1038/s41598-022-25278-z.
For life science infrastructures, sensitive data generate an additional layer of complexity. Cross-domain categorisation and discovery of digital resources related to sensitive data presents major interoperability challenges. To support this FAIRification process, a toolbox demonstrator aiming at support for discovery of digital objects related to sensitive data (e.g., regulations, guidelines, best practice, tools) has been developed. The toolbox is based upon a categorisation system developed and harmonised across a cluster of 6 life science research infrastructures. Three different versions were built, tested by subsequent pilot studies, finally leading to a system with 7 main categories (sensitive data type, resource type, research field, data type, stage in data sharing life cycle, geographical scope, specific topics). 109 resources attached with the tags in pilot study 3 were used as the initial content for the toolbox demonstrator, a software tool allowing searching of digital objects linked to sensitive data with filtering based upon the categorisation system. Important next steps are a broad evaluation of the usability and user-friendliness of the toolbox, extension to more resources, broader adoption by different life-science communities, and a long-term vision for maintenance and sustainability.
对于生命科学基础设施而言，敏感数据会带来额外的复杂性。跨领域对与敏感数据相关的数字资源进行分类和发现，这对互操作性提出了重大挑战。为了支持这一 FAIR 化过程，我们开发了一个工具包演示器，旨在支持发现与敏感数据（例如法规、指南、最佳实践、工具）相关的数字对象。该工具包基于在 6 个生命科学研究基础设施集群中开发和协调的分类系统。构建了三个不同的版本，并通过后续试点研究进行了测试，最终形成了一个具有 7 个主要类别的系统（敏感数据类型、资源类型、研究领域、数据类型、数据共享生命周期阶段、地理范围、特定主题）。在试点研究 3 中，有 109 个资源与标签相关联，这些资源被用作工具包演示器的初始内容，这是一个允许根据分类系统搜索与敏感数据相关联的数字对象的软件工具。下一步的重要步骤是广泛评估工具包的可用性和用户友好性，扩展到更多资源，更广泛地被不同的生命科学社区采用，并为维护和可持续性制定长期愿景。
