Data management & sharing#
Within this second session we’ll spend a fair amount of time on talking about project & data management as the necessary prerequisite for any successful research work, specifically with a focus on open & reproducible science as well as FAIR principles.
Research is hard and super complex. However, it’s worse without clear outlines, documentation and standardization. What are important steps of the research process & how should they be documented? At what point do I need think about incorporating open & reproducible science? Are there tools & resources I can use? All these and more questions will be addressed in this session.
Objectives📍#
learn about aspects of
data management&data sharingget to know respective tools & resources
Ask and answer questions
Have a great time
Slides 📓#
Below you’ll find the slides we went through during the session. However, we recommend scrolling further for the more narrative version of the content.
You can directly access the slides here.
Data management & sharing#
optional tasks based on this session 🖥️✍🏽📖#
Below you’ll find the tasks you should spend a look at if you want to further work on and evaluate the aspects we talked about in this session.
check existing standards#
check existing databases#
optional/reading/further materials#
Regarding our discussion on project & data management, you could watch the “Data management plans in 3 minutes” video below.
The Turing Way & Project TIER#
Along these lines, you could also check the Turing Way
and Project Tier.