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A Data-Driven Approach to Monitor and Improve Open and FAIR Research Data in a Federated Research Ecosystem Cover

A Data-Driven Approach to Monitor and Improve Open and FAIR Research Data in a Federated Research Ecosystem

Open Access
|Jul 2024

Figures & Tables

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Figure 1

Schematic illustration of the modular pipeline used to find and assess linked data publications of a research organization.

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Figure 2

Evaluation of Scholix RelationshipTypes (SubTypes) based on sample data (Kubin, 2024). The category ‘matches found (…)’ requires at least 25% matches, on average, of significant words in the publication titles (excluding articles, prepositions, etc.) or at least one same author name.

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Figure 3

Time evolution of literature- and linked data-publication numbers (after filtering), as presented on the dashboard. (status: June 2023).

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Figure 4

Time evolution of linked data publications contained in the dashboard approach, after filtering (status: June 2023). The color codes indicate the five most frequent publisher names associated to that data.

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Figure 5

Histogram of scores determined with F-UJI version 1.4.7 for filtered data publications, as presented in the dashboard (status: June 2023). The color codes indicate the five most frequent publisher names associated with these data publications.

Language: English
Submitted on: Mar 31, 2024
Accepted on: Jul 15, 2024
Published on: Jul 31, 2024
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2024 Markus Kubin, Mojeeb Rahman Sedeqi, Alexander Schmidt, Astrid Gilein, Tempest Glodowski, Vivien Serve, Gerrit Günther, Nina Leonie Weisweiler, Gabriel Preuß, Oonagh Mannix, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.