FAIR Digital Objects for Seamless Research Data Management for Researchers and Higher Education Institutions

Seamless Research Data Management for Researchers aims to cover a complete scientific workflow from planning a research project to registration and publication of results in repositories by connecting existing components, services, and tools using FDOs. This approach combines widely used components, so large data volumes can increasingly be FAIRified automatically. Machine-actionable Data Management Plans (maDMP) that comprehensively document the respective research project in a machine-actionable format form the entry point. The familiar Galaxy environment, which already enables RO-Crate implementation, forms the backbone to incorporate a growing number of services and tools. Galaxy orchestrates and executes the workflow components resulting from maDMPs and data analysis. The research results and comprehensive documentation become published in a repository of the researchers' choice (e.g., Zenodo). From there, the research results can be integrated into a knowledge graph (e.g., ORKG).

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Publication Details

Journal
Open Conference Proceedings
Published
2025-03-18
DOI
https://doi.org/10.52825/ocp.v5i.1045
Primary Topic
Research Data Management Practices
Type
article
Field-Weighted Citation Impact
0.00
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article

FAIR Digital Objects for Seamless Research Data Management for Researchers and Higher Education Institutions

Björn Grüning, Tomasz Miksa, Markus Stocker, Dirk Betz et al.
Open Conference Proceedings
Research Data Management Practices
article

FAIR Digital Objects for Seamless Research Data Management for Researchers and Higher Education Institutions

Björn Grüning, Tomasz Miksa, Markus Stocker, Dirk Betz, Claudia Biniossek
article en

Abstract

Seamless Research Data Management for Researchers aims to cover a complete scientific workflow from planning a research project to registration and publication of results in repositories by connecting existing components, services, and tools using FDOs. This approach combines widely used components, so large data volumes can increasingly be FAIRified automatically. Machine-actionable Data Management Plans (maDMP) that comprehensively document the respective research project in a machine-actionable format form the entry point. The familiar Galaxy environment, which already enables RO-Crate implementation, forms the backbone to incorporate a growing number of services and tools. Galaxy orchestrates and executes the workflow components resulting from maDMPs and data analysis. The research results and comprehensive documentation become published in a repository of the researchers' choice (e.g., Zenodo). From there, the research results can be integrated into a knowledge graph (e.g., ORKG).

Open Conference ProceedingsVol. 5
TU Wien (AT), University of Freiburg (DE), Technische Informationsbibliothek (TIB) (DE)
Openalex Percentile: Top 85%
Research Data Management Practices
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