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Distributed and Self-organizing Systems
Distributed and Self-organizing Systems

PUBLICATION

Analysis of current RDM applications for the interdisciplinary publication of research data

Type

Conference Paper

Year

2019

Authors

andrelanger

ellenbilz

Ellen Bilz

student

gaedke

Research Area

Intelligent Information Management

Event

Workshop on Approaches for Making Data Interoperable (AMAR)

Published in

Proceedings of the Workshop on Approaches for Making Data Interoperable (AMAR) Presented at the SEMANTiCS Conference 2019

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Abstract

The digital transformation of science led to new publication channels for scientific work. Beside the traditional publication of scientific articles, this particularly includes the provision of underlying research data to the scientific community.

But it becomes increasingly difficult for an author to have an overview over the most relevant data publishing solutions and their features, especially for interdisciplinary research data exchange. Researchers are often not aware, which types of research data management (RDM) applications exist and which of them should be selected for research data publishing and sharing with other researchers.

We therefore investigated suggested data publishing solutions and currently used publication channels for research data and conducted a systematic mapping of RDM approaches currently in use. The obtained results were clustered into research data management systems, platforms and assisting tools and evaluated against their current support for semantic, interdisciplinary data exchange based on FAIR principles. We show, that a large set of established scientific data publishing solutions already exists, but that their support for Linked Data is still limited and can be improved.

Reference

Langer, André; Bilz, Ellen; Gaedke, Martin: Analysis of current RDM applications for the interdisciplinary publication of research data. Proceedings of the Workshop on Approaches for Making Data Interoperable (AMAR) Presented at the SEMANTiCS Conference 2019, 2019.



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