Converter: Enhancing Interoperability in Research Data Management

TL;DR

This paper introduces a converter component that improves interoperability and standardization in research data management systems, facilitating better data sharing and collaboration across diverse schemas.

Contribution

It presents a novel converter component integrated into the Piveau framework to enhance interoperability among heterogeneous research data repositories.

Findings

Improved data accessibility across systems

Enhanced interoperability between diverse schemas

Streamlined collaboration in research data management

Abstract

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.