This lesson provides the foundation for practical incorporation of Open Science and FAIR data principles into biological research data managment.
We (the UoE BioRDM team) have identified that a gap exists in the knowledge of how to apply FAIR principles to real-life day-to-day biological research. An understanding of the principles of good data management is just as important as the practicalities. Researchers must become conversant with the Open Science ethos, the Reproducible Research movement, and the FAIR principles, to explain their new skills and to recognize or evaluate them in their peers.
The overall goals of the lesson are:
- To teach solid basic concepts in open science, FAIR guidelines and data management.
- To teach how to be FAIR in practice.
- To teach how to organize research workflows in such a way that it is easy to make biological research open, findable and reusable.
We are developing this lesson as part of the ED-DaSH consortium, supported by the "Data driven life science skills development - equipping society for the future" UKRI-MRC grant MR/V039075/1.
The lesson is currently under active development. We welcome all contributions to improve the lesson! Maintainers will do their best to help you if you have any questions, concerns, or experience any difficulties along the way.
We'd like to ask you to familiarize yourself with our Contribution Guide and have a look at the more detailed guidelines on proper formatting, ways to render the lesson locally, and even how to write new episodes.
Please see the current list of [issues][FIXME] for ideas for contributing to this
repository. For making your contribution, we use the GitHub flow, which is
nicely explained in the chapter Contributing to a Project in Pro Git
by Scott Chacon.
Look for the tag 
Current maintainers of this lesson are
A list of contributors to the lesson can be found in AUTHORS
To cite this lesson, please consult with CITATION
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