Improving Reproducibility and Reuse of Modelling Results in the Life Sciences

Martin Scharm
2018
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
more » ... research results. Altogether, my methods and tools foster exchange and reuse of modelling results.
doi:10.18453/rosdok_id00002315 fatcat:xz3ncilw4nhnvgmgond2lpqn3y