Document - Data management plans as linked open data: exploiting ARGOS FAIR and machine actionable outputs in the OpenAIRE research graph

2023

Journal article Open Access

Data management plans as linked open data: exploiting ARGOS FAIR and machine actionable outputs in the OpenAIRE research graph

Papadopoulou E., Bardi A., Kakaletris G., Tziotzios D., Manghi P., Manola N.

Research Data Management Data Management Plans FAIR DMPs Machine Actionable Research Graphs Knowledge graphs Open Science

Open Science Graphs (OSGs) are scientific knowledge graphs representing different entities of the research lifecycle (e.g. projects, people, research outcomes, institutions) and the relationships among them. They present a contextualized view of current research that supports discovery, re-use, reproducibility, monitoring, transparency and omni-comprehensive assessment. A Data Management Plan (DMP) contains information concerning both the research processes and the data collected, generated and/or re-used during a project's lifetime. Automated solutions and workflows that connect DMPs with the actual data and other contextual information (e.g., publications, fundings) are missing from the landscape. DMPs being submitted as deliverables also limit their findability. In an open and FAIR-enabling research ecosystem information linking between research processes and research outputs is essential. ARGOS tool for FAIR data management contributes to the OpenAIRE Research Graph (RG) and utilises its underlying services and trusted sources to progressively automate validation and automations of Research Data Management (RDM) practices.

Source: Journal of biomedical semantics 14 (2023). doi:10.1186/s13326-023-00297-5

Publisher: Biomed Central,, [London] , Regno Unito

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@article{oai:it.cnr:prodotti:488108,
	title = {Data management plans as linked open data: exploiting ARGOS FAIR and machine actionable outputs in the OpenAIRE research graph},
	author = {Papadopoulou E. and Bardi A. and Kakaletris G. and Tziotzios D. and Manghi P. and Manola N.},
	publisher = {Biomed Central,, [London] , Regno Unito},
	doi = {10.1186/s13326-023-00297-5},
	journal = {Journal of biomedical semantics},
	volume = {14},
	year = {2023}
}