Joint ITIM - UNU-CRIS Seminar by Ruben Dewitte
Ruben Dewitte, Postdoctoral Research Fellow at Ghent University, will talk about Reproducible Data Analysis: What, Why, and How.
Abstract: The credibility of the scientific literature has suffered a reproducibility crisis over the past years: it has been found that the results of many scientific studies are difficult or impossible to reproduce. To counter this phenomenon, an increasing number of journals are requesting data and code to be made available online and impose conditions related to such availability prior to final publication. Ensuring the reproducibility of an empirical analysis goes beyond the simple act of sharing code and data, however, and can be perceived as a poorly rewarded, time-consuming activity. The aim of this presentation is twofold. First, I aim to share my understanding of what establishes reproducible data analysis, motivate why it should be recognized as an essential part of the scientific method, and provide guiding principles on how to incorporate reproducibility in our data analysis efficiently. Second, the presentation aims to start a discussion on including reproducibility practices in research and teaching at the departments.
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