Edinburgh ReproducibiliTea Blog

Hello! We're Edinburgh ReproducibiliTea and we host seminar/journal club-style meetings every 3rd Friday of the month on themes related to reproducibility & transparency in research. We aim to keep our meetings accessible to anyone who would like to learn more about open research practices, regardless of their level of experience/familiarity. Read more about our meetings below in the blog posts written by Bengü Kalo. 

Please sign up to our mailing list here to receive details for our monthly meetings. We hope to see you at one of our sessions!

A selfish guide to RSpace: Why and How?

In this session, Post-Doctoral Research Fellow Dr. Ralitsa Madsen covers why using an Electronic Lab Notebook (ELN) is a great idea. Dr. Madsen suggests that there are many rewards in using ELN for a reproducible workflow and they include: Saving a lot of time while reading, searching the documents and so on. If you are…

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How (some) scientists talk about openness

Edinburgh ReproducibiliTea held another great session last Friday, with Dr. Rosalind Attenborough from University of Edinburgh – Science, Technology and Innovation Studies! Her research is focused on the researchers’ attitudes towards open science and here are the main points of her insightful talk for those who have missed; For her PhD project, Dr. Attenborough interviewed 54 individuals…

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Skills training for Open Science: impact and rewards of working with Edinburgh Carpentries

On our last Edinburgh ReproducibiliTea session, Edward Wallace  -PI of the Wallace Lab– shared the benefits of working with Edinburgh Carpentries. Here are some of the key points which have been discussed: Dr. Wallace argued that all researchers need to learn how to analyse their data reproducibly, reliably and efficiently, regardless of which career stage they…

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Selfish Reasons to Work Reproducibly

Reproducibility is not a newly adopted principle, in fact, it dates back to 1600s. The Irish chemist Robert Boyle was the first to emphasize the importance of  obtaining the same results when the study is re-created. Since then, scientists consistently reflected on how adopting a reproducible workflow helps advancing the science. Question is, does it only…

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