  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.
