Research Data Management (RDM) is essential in handling and organizing data in the research field. The Berlin Open Science Platform (BOP) serves as a case study that exemplifies the significance of standardization within the Berlin University Alliance (BUA), employing different vocabularies when publishing their data, resulting in data heterogeneity. The meta portals of the NFDI4Cat and the NFDI4DataScience project serve as additional case studies in the context of the NFDI initiative. To establish consistency among the harvested repositories in the respective systems, this study focuses on developing a novel component, namely the converter, that breaks barriers between data collection and various schemas. With the minor modification of the existing Piveau framework, the development of the converter, contributes to enhanced data accessibility, streamlined collaboration, and improved interoperability within the research community.

翻译：研究数据管理（RDM）对于研究领域数据的处理与组织至关重要。柏林开放科学平台（BOP）作为一项案例研究，体现了柏林大学联盟（BUA）内部标准化的重要性——该平台在发布数据时采用不同词汇表，从而导致数据异质性。在NFDI倡议框架下，NFDI4Cat与NFDI4DataScience项目的元门户网站作为补充案例。为统一各系统中采集自不同数据仓储的内容，本研究聚焦于开发新型组件——转换器（converter），该组件旨在打破数据采集与多种模式间的壁垒。通过对现有Piveau框架进行最小化修改，转换器的开发有助于提升数据可访问性、简化协作流程，并增强研究社区内的互操作性。