Research Reproducibility: Ensuring the Transparency and Credibility of Your Work

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Research Reproducibility: Ensuring the Transparency and Credibility of Your Work

26 May @ 9h00 - 27 May @ 12h00

Face-to-face training in English. This intensive training explores the fundamental principles of reproducibility, a pillar of open science that ensures the transparency and credibility of scientific research. You’ll discover best practices to make your work reproducible, from data management to code documentation, version control and results publication.

Prerequisites: Previous knowledge of at least one statistical software package (STATA, R, Python, SPSS or SAS). Participants should bring their laptops with statistical software installed.

Details

Start:
26 May @ 9h00
End:
27 May @ 12h00
Event Category: