Elli Papadopoulou and Georgios Kakaletris, in behalf of NEANIAS project, contributed to the work “Data Management Plans and Linked Open Data: exploiting machine actionable data management plans through Open Science Graphs”, published on 12/11/2020.
"Data Management Plans and Linked Open Data: exploiting machine actionable data management plans through Open Science Graphs"
- Elli Papadopoulou [1], Alessia Bardi [2], George Kakaletris [1], Diamadis Tziotzios [1], Paolo Manghi [2]and Natalia Manola [1]
- [1] Athena Research and Innovation Center, 6 Artemidos, 15125 Athens, Greece; [2] Consiglio Nazionale delle Ricerche, 1 Via Moruzzi 56124, Pisa, Italy.
Abstract
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 generated and/or re- they are missing automated solutions and workflows to connect DMPs with the actual data and other contextual information (e.g., publications, fundings). In an open and FAIR-enabling research ecosystem that is currently being realised, information linking between research processes and research outputs is essential. Argos tool for data management planning directly contributes to the OpenAIRE RG and utilises its underlying services and sources to progressively automate validation and monitoring of Research Data Management (RDM) practices. This paper provides insight to Argos DMP service integrations with OpenAIRE and the Research Data Alliance (RDA) that populate RGs with DMP entities and relationships and strengthen information exchange in a standard way.
Keywords
Research Data Management; Data Management Plans; Research Graphs; Open Knowledge Graphs.
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