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Improving Reproducibility and Reuse of Modelling Results in the Life Sciences
release_xz3ncilw4nhnvgmgond2lpqn3y
by
Martin Scharm
Published
by Universität Rostock.
2018
Abstract
Research results are complex and include a variety of heterogeneous data. This entails major computational challenges to (i) to manage simulation studies, (ii) to ensure model exchangeability, stability and validity, and (iii) to foster communication between partners. I describe techniques to improve the reproducibility and reuse of modelling results. First, I introduce a method to characterise differences in computational models. Second, I present approaches to obtain shareable and reproducible research results. Altogether, my methods and tools foster exchange and reuse of modelling results.
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wikidata.org
CORE.ac.uk
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