Analysis of Current RDM Applications for the Interdisciplinary Publication of Research Data

The digital transformation of science allows researchers nowadays to expose Research Objects through many different publishing channels, so that other interested stakeholders can find and reuse it. Linked Data is an accepted mean in these meta descriptions to enhance Findability, Accessibility, Interoperability and Reusability (FAIR). But researchers face a large variety of established publishing applications, where they have to select between general-purpose or domain-specific platforms and user interfaces of varying quality and feature set. In order to improve interoperability aspects, we want to analyze which publishing systems currently exist and to which extent they support Linked Data annotations from the very beginning. We therefore concentrated on research data and conducted a systematic mapping of general-purpose research data management (RDM) systems currently in use, and summarize them in a tabular resource. The obtained results were then evaluated against their current support for semantic, interdisciplinary data annotation and exchange. We show, that a large set of established research data publishing solutions already exists, but that their support for Linked Data is still limited and can be improved.