Abstract

An important hallmark of science is the transparency and reproducibility of scientific results. Over the last few years, internet-based technologies have emerged that allow for a representation of the scientific process that goes far beyond traditional methods and analysis descriptions. Using these often freely available tools requires a suite of skills that is not necessarily part of a curriculum in the life sciences. However, funders, journals, and policy makers increasingly require researchers to ensure complete reproducibility of their methods and analyses. To close this gap, we designed an introductory course that guides students towards a reproducible science workflow. Here, we outline the course content and possible extensions, report encountered challenges, and discuss how to integrate such a course in existing curricula.

Highlights

  • In the first session, we recapitulated the steps involved in a scientific project, including an introduction to the Open Science Framework (OSF) [14] and an outline of the expected active contributions of the students

  • To introduce students to the open science toolbox, we developed a narrative for this part of the course that involved a planned replication of an existing study

  • The course described here offers a first introduction to open science for early career researchers We hope that ideas and aspects of this course will find their way into higher education curricula

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Summary

Introduction

We recapitulated the steps involved in a scientific project, including an introduction to the OSF [14] and an outline of the expected active contributions of the students. All materials for this course, including a reading list and presentations, are available as a public project on the Open Science Framework (OSF) (https://osf.io/ X6892/). To introduce students to the open science toolbox, we developed a narrative for this part of the course that involved a planned replication of an existing study.

Results
Conclusion
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