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An Architecture for Reproducible Computational Geosciences

Nüst, Daniel; Schutzeichel, Marc

Reproducibility is a cornerstone of science but poses a large challenge when it comes to modern computational sciences. Initiatives for Openness must be accompanied by an infrastructure going beyond the state of the art in scientific publications and preservation of knowledge. Building on the concept of Executable Research Compendia (ERC), this work presents an architecture to support a scholarly process for computational geosciences. In this architecture the novel reproducibility service enriches scientific publications and integrates with the existing platforms.

The poster abstract was reviewed and accepted for presentation at the 20th conference for geo-information science by AGILE in Wageningen, The Netherlands, 2017, see https://agile-online.org/programme-2017/accepted-papers-and-posters-2017
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