PUBLICATION
RDMflow: Managing Research Data Workflows with Micro-Frontends
Type
Conference Paper
Year
2026
Authors
Jan Haas M.Sc.
Christoph Göpfert M.Sc.
Prof. Dr.-Ing. Martin Gaedke
Research Area
Event
1st International Conference on Hybrid Societies
Published in
1st International Conference on Hybrid Societies
ISBN/ISSN
print: 978-3-032-03487-8
online:978-3-032-03488-5
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Abstract
Research data management activities are commonly visualized using the Research Data Management Lifecycle. This lifecycle describes the various phases that research data undergo from the planning phase of a project to the reuse of the data in a subsequent research project. To ensure the reusability of data, the FAIR principles in particular play an important role. According to the FAIR principles, researchers should adopt established best practices of their research domain and use domain-specific standards for data annotation. However, researchers are often not aware which best practices and domain-specific standards apply to their dataset. Additionally, the complexity of some domain-specific standards may overwhelm researchers. With the RDMflow approach, we aim to improve the research data publishing procedure by adequately considering the context of research data. We use the modeling language BPMN to model processes of the research data workflow. Components of the workflow are subsequently mapped to micro-frontends which implement the underlying activity. Workflows may describe arbitrary processes such as publishing a paper or research data. The flexible and modular architecture created by combining micro-frontends and BPMN models makes it easy to define workflows that help annotate research data from a wide range of fields. This supports researchers in implementing standards and established practices, improving expressiveness, machine-readability, interoperability and reusability of research data.
Reference
TBA
