FAIR in bio practice or How to work with your data

BioRDM @ University of Edinburgh

Would you like to:
- Organize your data to work more efficiently?
- Make your outputs reusable?
- Build reputation in the science community?

Join Carpentries-style Workshop: FAIR in (Biological) Practice. Understanding good data management principles is key to practicing it.This hands-on workshop is aimed at non-PI researchers in biomedical sciences (PhD students, postdocs, technicians…) who are interested in Open Science, FAIR (Findable Accessible Interoperable Reusable) principles and how to practically apply them to their own workflows.Across 4 half-day sessions you will learn how to plan and use the correct set of tools to prepare your research outputs for public sharing and reuse.The course topics include among others:<ul><li> Introduction to Open Science and FAIR</li><li> IP, Licensing and Openness </li><li>(Meta)data in Excel</li><li>Laboratory Records</li><li>Jupyter notebooks for Reusable analysis</li><li>Public repositories</li><li>Writing Data Management Plan</li></ul>Check the course website for details<a href="https://edcarp.github.io/2023-03-28_ed-dash_fair-bio-practice/" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">https://edcarp.github.io/2023-03-28_ed-dash_fair-bio-practice/</a>

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FAIR in bio practice or How to work with your data

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FAIR in bio practice or How to work with your data

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