3 The importance of RDM

Estimated time: 70 minutes

During this module we will share different perspectives and let you discuss with each other about the importance of RDM in ensuring research reproducibility. At the end of this module you should be able to:

Recognise the importance of research data management
Explain why RDM is relevant for reproducibility and re-use of data

Activities before class 1!

Watch the Presentation on ‘Why is RDM important’?
Read (Markowetz 2015): Five selfish reasons to work reproducibly OR Watch the presentation (50 min)
Set up a GitHub account and create an issue (see Assignment 1)

How scientists save important data. Each part of the pie chart says the following: writing it down, .txt. files, weird files with strange acronyms, and in their own memories just before the computer crashes, losing everything. — Image by Errant Science

3.1 Why care about RDM?

Why should you be aware of your Research Data Management?

01-1_Module-1_Video_Presentation_Why RDM is relevant for you (8 minutes)

Reflect about what you heard on the video and bring your thoughts and your horror stories to session 1.

You can also listen to the Data Horror Song or the Zheng Lab - Bad Project video for some inspiration!

A scientist looking in her cabinet in her office for the data from last year. The cabinet looks quite messy, with open boxes, notes everywhere and a cat sleeping in it. — The Turing Way illustration by Scriberia. CC-BY 4.0. DOI: 10.5281/zenodo.3332807

3.2 Selfish reasons to work reproducibly

Read (Markowetz 2015): Five selfish reasons to work reproducibly OR Watch the presentation (50 min) before class 1

3.3 Optional activities

3.4 References

Markowetz, Florian. 2015. “Five Selfish Reasons to Work Reproducibly.” Genome Biology 16 (1). https://doi.org/10.1186/s13059-015-0850-7.