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 \textit{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）在处理和组织研究领域的数据方面至关重要。柏林开放科学平台（BOP）作为一个案例研究，体现了柏林大学联盟（BUA）内部标准化的重要性，该联盟在发布数据时使用了不同的词汇表，导致了数据异质性。NFDI4Cat和NFDI4DataScience项目的元门户是NFDI倡议背景下的另外两个案例研究。为了在各自系统中采集的存储库之间建立一致性，本研究重点开发了一个新颖的组件，即\textit{转换器}，它打破了数据收集与各种模式之间的壁垒。通过对现有Piveau框架进行小幅修改，转换器的开发有助于提高研究社区内的数据可访问性、简化协作并增强互操作性。