Data Descriptor: A Research Graph dataset for connecting research data repositories using RD-Switchboard

Aryani, A, Poblet Balcell, M, Unsworth, K, Wang, J, Evans, B, Devaraju, A, Hausstein, B, Klas, C, Zapilko, B and Kaplun, S 2018, 'Data Descriptor: A Research Graph dataset for connecting research data repositories using RD-Switchboard', Scientific Data, vol. 5, pp. 1-10.


Document type: Journal Article
Collection: Journal Articles

Title Data Descriptor: A Research Graph dataset for connecting research data repositories using RD-Switchboard
Author(s) Aryani, A
Poblet Balcell, M
Unsworth, K
Wang, J
Evans, B
Devaraju, A
Hausstein, B
Klas, C
Zapilko, B
Kaplun, S
Year 2018
Journal name Scientific Data
Volume number 5
Start page 1
End page 10
Total pages 10
Publisher Nature
Abstract This paper describes the open access graph dataset that shows the connections between Dryad, CERN, ANDS and other international data repositories to publications and grants across multiple research data infrastructures. The graph dataset was created using the Research Graph data model and the Research Data Switchboard (RD-Switchboard), a collaborative project by the Research Data Alliance DDRI Working Group (DDRI WG) with the aim to discover and connect the related research datasets based on publication co-Authorship or jointly funded grants. The graph dataset allows researchers to trace and follow the paths to understanding a body of work. By mapping the links between research datasets and related resources, the graph dataset improves both their discovery and visibility, while avoiding duplicate efforts in data creation. Ultimately, the linked datasets may spur novel ideas, facilitate reproducibility and re-use in new applications, stimulate combinatorial creativity, and foster collaborations across institutions. © The Author(s) 2018.
Subject Information Systems Development Methodologies
DOI - identifier 10.1038/sdata.2018.99
Copyright notice © The Author(s) 2018. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License
ISSN 2052-4463
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