Reproducible research through persistently linked and visualized data

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Date
2017
Journal Title
Journal ISSN
Volume Title
Publisher
Berlin : Weierstraß-Institut für Angewandte Analysis und Stochastik
Abstract

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.

Description
Keywords
Research data, repositories, visualization, persistent identifier
Citation
Citation
Drees, B., Kraft, A., & Koprucki, T. (2017). Reproducible research through persistently linked and visualized data (Version publishedVersion, Vol. 2430). Berlin : Weierstraß-Institut für Angewandte Analysis und Stochastik. https://doi.org//10.20347/WIAS.PREPRINT.2430
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