Reproducible research through persistently linked and visualized data

The demand of reproducible results in the numerical simulation of opto-electronic devices or more general in mathematical modeling and simulation requires the (long-term) accessibility of data and software that were used to generate those results. Moreover, to present those results in a comprehensible manner data visualizations such as videos are useful. Persistent identifier can be used to ensure the permanent connection of these different digital objects thereby preserving all information in the right context. Here we give an overview over the state-of-the art of data preservation, data and software citation and illustrate the benefits and opportunities of enhancing publications with visual simulation data by showing a use case from opto-electronics.

Keywords

Research data, repositories, visualization, persistent identifier

URI

https://doi.org/10.34657/3117
https://oa.tib.eu/renate/handle/123456789/2401

Citation

Drees, B., Kraft, A., & Koprucki, T. (2017). Reproducible research through persistently linked and visualized data (Vol. 2430). Berlin : Weierstraß-Institut für Angewandte Analysis und Stochastik. https://doi.org//10.20347/WIAS.PREPRINT.2430

Collections

Mathematik

License

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This document may be downloaded, read, stored and printed for your own use within the limits of § 53 UrhG but it may not be distributed via the internet or passed on to external parties.

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