In the context of Open Science, researchers are encouraged to publish their research datasets in digital data repositories so that others can find and reuse it. However, this process is commonly conducted via centralized data management platforms. Research data has to be uploaded to such a platform and this imposes the risk to become dependent from the access control and data exposure capabilities of the platform provider. Semantic technologies are one approach to improve this situation and manage research datasets in a decentralized way with an interdisciplinary focus. We are particularly interested in Linked Data Platform - based approaches and how good Solid in particular fits for research data publishing (RDP) activities. In this paper, we therefore present a conceptual RDP model and we assess a container-based approach to publish research data in a Solid environment in a decentralized manner, both from a researcher and developer perspective.
CITATION STYLE
Langer, A., Vu Nguyen Hai, D., & Gaedke, M. (2020). Solidrdp: Applying solid data containers for research data publishing. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 12128 LNCS, pp. 399–415). Springer. https://doi.org/10.1007/978-3-030-50578-3_27
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