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Putting it all together


Teaching: 0 min
Exercises: 0 min
  • What will your journey to be FAIR productive entail?

  • Discuss steps and changes in your habits you will take after this course

  • List of resources that will help you achieve these goals

For the past three days we have discussed how you can embark on a journey to be FAIR, we also showed you tools you can use in your daily life and throughout the research data life cycle to make your data more: Findable, Accessible, Interoperable and Reproducible

Simple things like thinking about the metadata that can accompany your data, use of templates and preparation of your data for future sharing can help in achieving Open Research and better FAIR practices. We now want to hear from you what you will change after this course to be more FAIR:

Exercise 1: Your journey to be FAIRproductive

What are the things you are going to change in your work habits, or actions you are going to take after this course?


  • For each paper I publish I will make a Zenodo deposit with all the data files
  • I will use GitHub for all my code instead of using folders
  • I will start using ELNs
  • Write a data management plan for my project
  • Reorganise my folder structure
  • Use templates
  • Start using readme files (make a readme template)
  • Write protocols on
  • Back up my data accordingly
  • Think as a user of my data instead of just a creator
  • Start using Jupyter notebooks, or RMarkdown to describe analysis workflows
  • Write intelligible metadata

As you can see, anything counts. Even simple things like reorganisation of your folder structure for a better overview or to stop using USB sticks as backup material are steps towards FAIR. We have collated here the list of resources throughout the course for a better overview which will hopefully help you to guide future practices.


The BioRDM team has a lot of information about the here taught course material on their BioRDM wiki.

Repositories and Ontologies

Data agnostic repositories

There are general “data agnostic” repositories, for example:

Or domain specific, for example:

Similar to ORCID, there are other registries that can be used to identify many of biological concepts and entities:

BioPortal or NCBI
are good places to start searching for a registry or a term.

  1. Finding ontologies:
  2. List of recommended ontologies:

Licences we recommend using

Licenses explicitly declare conditions and terms by which data and software can be re-used. Here, we recommend:

List of ELNs and online protocols

ELN Resources

Other useful courses

You can explore more courses developed by the Carpentries Incubator


Key Points

  • There are simple steps to help make your data more FAIR throughout the research data lifecycle

  • Implement these steps throughout to keep track of your data and changes